Operating methods and devices for medical device products

Abstract

This application provides a method and apparatus for operating medical device products. The method includes: receiving a product status maintenance instruction sent by procurement and control personnel in a medical device operation platform; determining the corresponding procurement and warehousing replenishment needs and the product model types corresponding to the procurement and warehousing replenishment needs based on the product status maintenance instruction and a preset natural language analysis model; determining the corresponding inventory structure based on the procurement and warehousing replenishment needs and the dependencies between each product model type; determining the corresponding product model and product allocation strategy based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library; determining the corresponding discontinued product transfer order based on the product model and the product model matching relationship in the inventory structure; and executing the discontinued product transfer order according to the product allocation strategy. This application can effectively improve the efficiency of abnormal monitoring of discontinued products in the product operation platform.

Description

Technical Field

[0001] This application relates to the field of artificial intelligence, specifically to a method and apparatus for operating a medical device product. Background Technology

[0002] In the healthcare industry, the efficiency of customer order processing systems is crucial for ensuring the continuity and effectiveness of healthcare services. This is especially true when processing orders containing discontinued or obsolete products, where system responsiveness and accuracy are paramount. Discontinued products typically refer to those that cannot be sold for a period due to regulatory changes, safety concerns, or temporary supply chain disruptions. Obsolete products, on the other hand, refer to those that will be permanently discontinued due to long-term safety concerns, outdated technology, or changes in market demand.

[0003] Current industry practices present significant efficiency and communication challenges when processing orders for these specialized products. Specifically, when customers place orders through the existing ordering system, the system fails to provide timely feedback regarding the product's discontinuation or unavailability status. This lack of immediate feedback means that customer service personnel also miss any system notifications about the product's status during the order archiving phase. Consequently, the entire order processing workflow relies on manual identification and handling of these issues, which not only increases the complexity of manual operations but also reduces the accuracy of processing.

[0004] The current process involves customer service staff entering an order into the system after it's placed. If the order includes discontinued or obsolete products, this information is typically only discovered when the purchasing control department places an order with the manufacturer. The manufacturer, upon confirming the order, indicates which products are unavailable due to discontinuation or obsolescence, and this information is then relayed to customer service. Customer service then contacts the customer to inform them to modify or cancel the corresponding products in the order. This feedback-dependent processing model not only prolongs the processing time and increases customer wait times but can also potentially impact the timely supply of medical services.

[0005] Furthermore, this decentralized and slow-responding information processing mechanism leads to a large amount of repetitive work and a high frequency of errors. Customer service personnel need to spend a significant amount of time repeatedly checking and modifying orders, which not only affects work efficiency but may also lead to a decline in customer satisfaction. In certain emergency situations, such as medical crises or public health emergencies, rapid access to medical supplies is particularly critical, and any delay can adversely affect patients.

[0006] Therefore, existing order processing systems urgently need an improvement to enhance the speed and accuracy of identifying discontinued and obsolete products. Summary of the Invention

[0007] To address the problems in the prior art, this application provides a method and apparatus for operating medical device products, which can effectively improve the efficiency of abnormal supervision of discontinued and unsold products on the product operation platform.

[0008] To solve at least one of the above problems, this application provides the following technical solution:

[0009] Firstly, this application provides a method for operating a medical device product, including:

[0010] The system receives a product status maintenance instruction sent by the procurement and control personnel in the medical device operation platform. Based on the product status maintenance instruction and the preset natural language analysis model, it determines the corresponding procurement and warehousing replenishment requirements and the product model types corresponding to the procurement and warehousing replenishment requirements. Based on the dependency relationship between the procurement and warehousing replenishment requirements and each product model type, it determines the corresponding inventory structure.

[0011] Based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library, determine the corresponding product model and product allocation strategy. Based on the product model and the product model matching relationship in the inventory structure, determine the corresponding discontinued and discontinued product allocation order, and execute the discontinued and discontinued product allocation order according to the product allocation strategy.

[0012] The system monitors the discontinuation and sales data of each product model during the operation of the medical device operation platform. When the discontinuation and sales data exceeds a preset safety stock threshold, the system updates the discontinuation and sales product transfer order based on the discontinuation and sales data and the inventory data of the product models to be transferred in the medical device operation platform, and executes the product transfer operation based on the updated discontinuation and sales product transfer order.

[0013] Further, when the discontinued and unsold data exceeds a preset safety stock threshold, updating the discontinued and unsold product transfer order based on the discontinued and unsold data and the inventory data of the product models to be transferred in the medical device operation platform includes:

[0014] When the data on discontinued use and sales exceeds a preset safety stock threshold, the allocation priority of the product model to be allocated is updated based on the inventory data of the product model to be allocated in the medical device operation platform.

[0015] The discontinued and discontinued product transfer order is updated based on the discontinued and discontinued sales data and the updated product model to be transferred according to the transfer priority.

[0016] Further, updating the discontinued product transfer order based on the discontinued sales data and the updated product model to be transferred according to the transfer priority includes:

[0017] Determine the adjustment value when updating the allocation priority of the product model to be allocated;

[0018] Based on the adjusted values, the data on discontinuing use and sales should be adjusted accordingly to the target product for the product model to be transferred.

[0019] Furthermore, the step of determining the corresponding product model and product request strategy based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library includes:

[0020] The corresponding product model is determined based on the real-time inventory of each product model type in the preset product model library.

[0021] The allocation occupancy rate of each product model type is determined based on the real-time inventory of each product and the current regional replenishment plan, and the product allocation strategy is determined based on the minimized allocation occupancy rate.

[0022] Further, the step of determining the corresponding discontinued and discontinued product transfer order based on the product model and the product model matching relationship in the inventory structure, and executing the discontinued and discontinued product transfer order according to the product transfer strategy, includes:

[0023] The product model matching relationships in the inventory structure are converted into a product matching directed graph, wherein the nodes in the product matching directed graph represent product models, and the edges in the product matching directed graph represent the matching relationships between product models;

[0024] Based on the product model and the directed graph of product pairings, a corresponding transfer order for discontinued and discontinued products is determined, and the transfer order for discontinued and discontinued products is executed according to the product request strategy determined by minimizing the transfer occupancy rate.

[0025] Furthermore, determining the corresponding inventory structure based on the procurement and warehousing replenishment needs and the dependencies between each product model type includes:

[0026] The corresponding product allocation order is determined based on the dependencies between the various product model types.

[0027] The corresponding inventory structure is determined based on the procurement and warehousing replenishment needs and the product allocation sequence.

[0028] Further, the step of determining the corresponding procurement and warehousing replenishment needs and the product model type corresponding to the procurement and warehousing replenishment needs based on the product status maintenance instructions sent by the procurement and control personnel in the medical device operation platform and the preset natural language analysis model, includes:

[0029] Receive the product status maintenance instruction sent by the procurement and control personnel in the medical device operation platform, parse the product status maintenance instruction, and obtain the corresponding structured data;

[0030] The structured data is input into a preset pre-trained language model to obtain the procurement and warehousing replenishment requirements output by the pre-trained language model, and the product model type corresponding to the procurement and warehousing replenishment requirements is determined according to preset association rules.

[0031] Secondly, this application provides a medical device product operating device, comprising:

[0032] The inventory determination module is used to receive the discontinued and unsold product status maintenance instructions sent by the procurement and control personnel in the medical device operation platform, determine the corresponding procurement and warehousing replenishment requirements and the product model types corresponding to the procurement and warehousing replenishment requirements based on the discontinued and unsold product status maintenance instructions and the preset natural language analysis model, and determine the corresponding inventory structure based on the procurement and warehousing replenishment requirements and the dependencies between the procurement and warehousing replenishment requirements and the product model types.

[0033] The product allocation module is used to determine the corresponding product model and product allocation strategy based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library, determine the corresponding discontinued and discontinued product allocation order based on the product model and the product model matching relationship in the inventory structure, and execute the discontinued and discontinued product allocation order according to the product allocation strategy.

[0034] The discontinuation and sales monitoring module is used to monitor the discontinuation and sales data of each product model during the operation of the medical device operation platform. When the discontinuation and sales data exceeds the preset safety stock threshold, the module updates the discontinuation and sales product transfer order based on the discontinuation and sales data and the inventory data of the product models to be transferred in the medical device operation platform, and executes the product transfer operation based on the updated discontinuation and sales product transfer order.

[0035] Thirdly, this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the medical device product operation method.

[0036] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the described medical device product operation method.

[0037] Fifthly, this application provides a computer program product, including a computer program / instructions that, when executed by a processor, implement the steps of the described medical device product operation method.

[0038] As can be seen from the above technical solution, this application provides a method and apparatus for operating medical device products. It receives a maintenance instruction for the status of discontinued and unsold products sent by procurement and control personnel in the medical device operation platform. Based on the maintenance instruction and a preset natural language analysis model, it determines the corresponding procurement and warehousing replenishment needs and the product model types corresponding to those needs. It then determines the corresponding inventory structure based on the dependency relationships between the procurement and warehousing replenishment needs and each product model type. Based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library, it determines the corresponding product model and product allocation strategy. Based on the matching relationships between the product models and the inventory structure, it determines the corresponding discontinued and unsold product transfer order and executes the transfer order according to the product allocation strategy. This effectively improves the efficiency of abnormal monitoring of discontinued and unsold products in the product operation platform. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 This is one of the flowcharts illustrating the operation method of a medical device product in the embodiments of this application;

[0041] Figure 2 This is the second flowchart illustrating the operation method of the medical device product in the embodiments of this application;

[0042] Figure 3 This is the third flowchart illustrating the operation method of the medical device product in the embodiments of this application;

[0043] Figure 4 This is the fourth flowchart illustrating the operation method of the medical device product in the embodiments of this application;

[0044] Figure 5 This is the fifth flowchart illustrating the operation method of the medical device product in the embodiments of this application;

[0045] Figure 6 This is the sixth flowchart illustrating the operation method of the medical device product in the embodiments of this application;

[0046] Figure 7 This is the seventh flowchart illustrating the operation method of the medical device product in the embodiments of this application;

[0047] Figure 8This is a structural diagram of the medical device product operating device in the embodiments of this application;

[0048] Figure 9 This is a schematic diagram of the structure of the electronic device in the embodiments of this application.

[0049] Figure label:

[0050] Electronic device 9600, central processing unit 9100, memory 9140, communication module 9110, input unit 9120, audio processor 9130, display 9160, power supply 9170, buffer memory 9141, application / function storage unit 9142, data storage unit 9143, driver storage unit 9144, antenna 9111, speaker 9131, microphone 9132. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0052] The acquisition, storage, use, and processing of data in this application all comply with the relevant provisions of national laws and regulations.

[0053] In view of the problems in the prior art, this application provides a method and apparatus for operating medical device products. It receives a status maintenance instruction for discontinued and unsold products sent by procurement and control personnel in a medical device operation platform. Based on the discontinued and unsold product status maintenance instruction and a preset natural language processing model, it determines the corresponding procurement and warehousing replenishment needs and the product model types corresponding to the procurement and warehousing replenishment needs. It then determines the corresponding inventory structure based on the dependency relationships between the procurement and warehousing replenishment needs and each product model type. Based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library, it determines the corresponding product model and product allocation strategy. Based on the product model and the product model matching relationships in the inventory structure, it determines the corresponding discontinued and unsold product transfer order and executes the discontinued and unsold product transfer order according to the product allocation strategy. This effectively improves the efficiency of monitoring discontinued and unsold products.

[0054] To effectively improve the efficiency of abnormal monitoring of discontinued and unsold products on product operation platforms, this application provides an embodiment of a medical device product operation method, see [link to embodiment]. Figure 1 The specific operation method for the medical device product includes the following:

[0055] Step S101: Receive the discontinued product status maintenance instruction sent by the procurement and control personnel in the medical device operation platform; determine the corresponding procurement and warehousing replenishment requirements and the product model types corresponding to the procurement and warehousing replenishment requirements based on the discontinued product status maintenance instruction and the preset natural language analysis model; and determine the corresponding inventory structure based on the procurement and warehousing replenishment requirements and the dependency relationship between each product model type.

[0056] Optionally, in the medical device industry, timely and accurate processing of information regarding discontinued or obsolete products is crucial for maintaining efficient supply chain operations. To address this need, we propose a technical solution based on Natural Language Processing (NLP) and an inventory management system. This solution can automatically process instructions for discontinued or obsolete products, thereby dynamically adjusting procurement and inventory structures to reduce inventory backlog and optimize resource allocation.

[0057] The technical principles primarily involve two core technologies: Natural Language Processing (NLP) and inventory management algorithms. NLP technology enables the system to receive and parse discontinuation instructions from medical device operation platforms, which are typically presented in natural language. The system uses a pre-defined NLP model to understand key information in the instructions, such as product type and the timeframe for discontinuation. This process includes text segmentation, semantic analysis, and sentiment analysis to ensure accurate and useful information is extracted from the instructions.

[0058] Once the necessary information is extracted, the system will then use a highly customized inventory management algorithm to process it. This algorithm takes into account product type, historical sales data, current inventory status, and discontinued or unsold information to calculate the corresponding procurement and replenishment needs. This calculation is not only based on individual products but also considers potential dependencies between products, such as the need for certain products to be used together. The algorithm incorporates these dependencies to ensure the consistency and coordination of the entire inventory system.

[0059] The process begins with receiving discontinued and withdrawn product status maintenance instructions from procurement and control personnel on the medical device operations platform. These instructions are first input into the system, and the NLP model then begins to work, parsing the text data and identifying keywords and phrases, such as specific product names, models, and the exact dates of discontinuation. This parsed data is then transformed into structured information and subsequently input into the inventory management algorithm.

[0060] Next, the inventory management algorithm determines the procurement and replenishment needs based on the parsed data and existing inventory information. For example, if a product model is designated as discontinued, the system will automatically calculate the current inventory level of that model and predict the amount of inventory needed to meet potential last-minute demand before it is discontinued. Simultaneously, the system will also consider other products associated with this model (such as accessories or substitutes) and adjust the inventory strategies for these products to ensure supply chain continuity.

[0061] The technological benefits are manifested in several aspects. First, by automating the processing of discontinuation and sales orders, response speed and efficiency are significantly improved, reducing errors that may occur with manual operations. Second, precise inventory management and replenishment strategies effectively reduce excess or insufficient inventory, improving capital utilization efficiency. Furthermore, the system's predictive capabilities enable businesses to better respond to market changes and minimize potential losses due to product discontinuation.

[0062] In summary, this technical solution not only optimizes the inventory management process and improves the efficiency and accuracy of handling information on discontinued and obsolete products, but also helps companies reduce operating costs and enhance market responsiveness and flexibility. Through the implementation of such a system, medical device companies can more effectively respond to the ever-changing market and its challenges while ensuring supply chain stability.

[0063] Step S102: Determine the corresponding product model and product allocation strategy based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library; determine the corresponding discontinued and unsold product transfer order based on the product model and the product model matching relationship in the inventory structure; and execute the discontinued and unsold product transfer order according to the product allocation strategy.

[0064] Optionally, in the modern medical device industry, precise inventory management and product allocation strategies are key factors in ensuring supply chain efficiency and responsiveness to market changes. Specifically, handling the allocation of discontinued and obsolete products requires a high degree of precision and strategy to prevent resource waste and optimize inventory. This technical solution details how, based on regional replenishment plans and a pre-set product model library, intelligent algorithms determine product models and allocation strategies, thereby executing allocation orders for discontinued and obsolete products.

[0065] First, the system collects and organizes current regional replenishment plan information, which typically includes projected demand, region-specific demand, and historical replenishment data. Simultaneously, the system accesses a pre-defined product model library, a database containing various product models and their attributes (such as size, applicability, and price). These models are usually predefined based on historical data and market trends, enabling the system to quickly identify and process diverse product demands.

[0066] The next step involves using an algorithm to determine the inventory status of each product model type. The system analyzes current inventory data, including inventory levels, inventory turnover rate, and past sales and replenishment records. Using this data, the system can predict future inventory demand and adjust replenishment strategies accordingly to ensure that inventory levels meet market demand without causing excessive inventory buildup.

[0067] After determining the product models and inventory status, the system will formulate allocation strategies based on the compatibility between product models. These compatibility relationships are based on the compatibility between products and the pre-defined common use scenarios. For example, some surgical instruments require specific accessories to function; the system will automatically identify this dependency and take this into account in the allocation plan to ensure that all necessary products are replenished in a timely manner.

[0068] Finally, the system will generate a transfer order for discontinued or unsold products. During this process, the system will consider products that are about to be discontinued or unsold, prioritizing the handling of their inventory issues to minimize potential losses for the company. The transfer order will detail which products need to be transferred from which warehouses, their destination, and key information such as the transfer time and route.

[0069] By employing the aforementioned technical solutions, companies can react quickly after announcing the discontinuation or sale of products, optimizing inventory and allocation strategies to minimize losses. This approach not only improves the efficiency of inventory management but also enhances the company's adaptability to market changes.

[0070] Furthermore, this automated allocation system reduces the possibility of human error and improves operational accuracy. The system's intelligent decision support function can provide optimal allocation solutions in numerous complex situations, helping companies maintain efficient operations while ensuring a high level of customer satisfaction.

[0071] Overall, this technological solution, by integrating advanced data processing and intelligent algorithms, provides the medical device industry with a practical solution to address the final stages of the product lifecycle, thereby protecting corporate interests and improving the overall performance of the supply chain. The implementation of this system can not only improve internal efficiency but also serve as part of industry standards, driving the entire medical device industry towards greater efficiency and automation.

[0072] Step S103: Monitor the discontinuation and sales data of each product model during the operation of the medical device operation platform. When the discontinuation and sales data exceeds the preset safety stock threshold, update the discontinuation and sales product transfer order according to the discontinuation and sales data and the inventory data of the product models to be transferred in the medical device operation platform, and execute the product transfer operation according to the updated discontinuation and sales product transfer order.

[0073] Optionally, in the modern medical device industry, managing the product lifecycle is particularly important, especially when dealing with discontinued or obsolete products. Efficiently allocating inventory to avoid resource waste is a challenge. A key step in this technical solution is monitoring the discontinued or obsolete data of various product models in the medical device operation platform, updating allocation orders and executing allocation operations under specific conditions to ensure the rational utilization of inventory and maximize replenishment efficiency.

[0074] First, the system employs a real-time monitoring mechanism to track the sales and inventory status of all product models on the operations platform. Each product model has an associated discontinued / discontinued flag, which is activated when the product is about to be withdrawn from the market. The system periodically or in real-time checks these flags and related inventory data to ensure the timeliness and accuracy of all information.

[0075] When the system detects that the discontinuation and sales data for a product model exceeds a preset safety stock threshold, it usually means that the product is about to face a significant risk of inventory backlog. The safety stock threshold is set based on factors such as historical sales data, market demand forecasts, and the product's sales cycle. It helps companies maintain sufficient inventory to cope with normal market fluctuations while avoiding the economic burden of excessive inventory.

[0076] Based on this, the system will automatically trigger the process of updating transfer orders for discontinued and unsold products. This process involves analyzing the current inventory levels of the corresponding products in each warehouse, as well as the projected future demand decline trend. The update of transfer orders not only considers the inventory and sales of individual products, but also comprehensively considers the inventory status of related or substitute products to ensure overall inventory optimization.

[0077] The updated transfer orders will specify in detail which products need to be transferred from which locations, their destinations, and the specific time and route of the transfer. These transfer activities aim to reallocate products with inventory above the safety threshold to areas with higher demand or faster sales, or to transfer them to a central warehouse for further processing, such as discounted sales, donations, or recycling.

[0078] When executing product transfer operations, the system coordinates logistics resources to ensure the transfer process is efficient and safe. This includes selecting appropriate transportation methods, planning optimal transportation routes, and scheduling suitable transportation times to reduce transportation costs and avoid new inventory buildup. The system also tracks the transfer progress in real time to ensure all operations proceed as planned and makes adjustments as necessary.

[0079] Furthermore, the system continues to monitor the inventory performance after allocation through data analysis, assesses the impact of allocation operations, and continuously optimizes allocation strategies. This dynamic adjustment mechanism makes inventory management more flexible and responsive to market changes, thereby improving overall inventory efficiency and reducing costs.

[0080] The implementation of this technology has yielded significant results. It has not only helped companies reduce potential losses due to product discontinuation but also improved inventory utilization efficiency and the company's financial health. Through precise monitoring and intelligent allocation, companies can maximize resource utilization efficiency while maintaining service levels. This is particularly important and complex for medical device operation platforms in the highly competitive medical device industry, especially for companies with multiple product models and dispersed inventory. Product discontinuation not only affects a company's inventory costs but can also impact brand market performance and consumer trust. Therefore, achieving dynamic monitoring and intelligent allocation of discontinued products has significant business value.

[0081] This technology effectively addresses and manages product discontinuation and sales issues by monitoring the sales and inventory status of various product models within a medical device operations platform in real time. First, the system needs to continuously track the sales data and inventory levels of each product model. This data includes, but is not limited to, sales volume, return volume, current inventory, and projected sales trends. This data can be automatically obtained through an integrated ERP (Enterprise Resource Planning) system or manually entered and updated.

[0082] The system will trigger an alert when the discontinued and unsold inventory data for a product model exceeds a preset safety stock threshold. This threshold is typically set based on factors such as historical sales data, seasonal fluctuations, market trends, and product lifecycle. Exceeding this threshold indicates a risk of excessive inventory for a product, potentially leading to excessive capital tied up and wasted resources.

[0083] Once an alarm is triggered, the system will automatically update the transfer order. During this process, the system analyzes and compares inventory data across different warehouses to identify regions or warehouses with excess inventory and high demand. Then, based on this data, the system re-arranges the transfer plan to ensure products are moved from regions with high inventory to regions with high demand, or returned to the central warehouse for centralized processing.

[0084] Once a transfer order is updated, corresponding logistics and supply chain operations also need to be adjusted. This typically involves optimizing logistics routes, selecting transportation methods, and determining the timing of the transfer. This step is crucial to maximizing the cost-effectiveness of the transfer while ensuring the safety and quality of the products during transportation. The system also needs to work closely with logistics service providers to ensure the smooth execution of the transfer operation.

[0085] After product allocation is completed, the system needs to continue monitoring the allocation effect, assessing whether it has effectively reduced excess inventory, and checking the sales performance and inventory status of the allocated products. This feedback mechanism is crucial for continuously optimizing inventory management strategies, improving allocation efficiency, and properly handling discontinued and unsold products.

[0086] The overall benefits of implementing this technical solution include reducing financial losses caused by product surplus, optimizing inventory utilization efficiency, improving customer satisfaction, and enhancing the company's market competitiveness. Through an intelligent and automated inventory management system, companies can respond more flexibly to market changes, effectively manage the product lifecycle, and ultimately improve overall business performance.

[0087] As described above, the medical device product operation method provided in this application embodiment can effectively improve the efficiency of monitoring discontinued and discontinued products by receiving discontinued and discontinued product status maintenance instructions sent by procurement and control personnel in the medical device operation platform, determining the corresponding procurement and warehousing replenishment needs and the product model types corresponding to the procurement and warehousing replenishment needs based on the discontinued and discontinued product status maintenance instructions and preset natural language analysis models, and determining the corresponding inventory structure based on the procurement and warehousing replenishment needs and the dependency relationships between each product model type; determining the corresponding product model and product allocation strategy based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library, determining the corresponding discontinued and discontinued product transfer order based on the product model and the product model matching relationship in the inventory structure, and executing the discontinued and discontinued product transfer order according to the product allocation strategy.

[0088] In one embodiment of the medical device product operation method of this application, see [link to relevant documentation]. Figure 2 It can also specifically include the following:

[0089] Step S201: When the data on discontinued use and sales exceeds the preset safety stock threshold, update the allocation priority of the product model to be allocated according to the inventory data of the product model to be allocated in the medical device operation platform.

[0090] Step S202: Update the discontinued product transfer order based on the discontinued data and the updated product model to be transferred according to the transfer priority.

[0091] Optionally, in the medical device industry, handling products that are about to be discontinued or withdrawn from sale is a complex process involving precise inventory management and resource optimization. This technical solution ensures that the allocation of these products is executed at the most appropriate time and in the most suitable manner by monitoring the sales and inventory status of the products in real time.

[0092] First, the system continuously tracks sales data and inventory levels for all product models on the medical device operations platform. Each product model is assigned a specific tag indicating whether it is about to be discontinued or withdrawn from sale. When the discontinuation or withdrawal data for a product exceeds a preset safety stock threshold—typically based on historical sales data, market demand forecasts, and the product's sales cycle—the system triggers an update process for allocation priorities. At this point, the system analyzes the product's inventory status in various warehouses to determine its priority in the allocation list.

[0093] Determining allocation priorities is a dynamic process that considers various factors such as product sales speed, inventory status, and market demand. For example, if a product experiences consistently low sales in one region but has stable demand in another, the system will increase the product's allocation priority from the low-selling region to the high-selling region. Such dynamic adjustments help reduce backlogs, optimize inventory utilization, and prevent funds from being idle in unnecessary inventory.

[0094] Next, in step S202, the system re-compiles and updates the transfer order based on the updated transfer priority. During this process, the system not only updates the quantity and destination of the transfer but also optimizes the timing and route of the transfer. The system calculates the most economical transportation method from the source warehouse to the target location and schedules the transfer at an appropriate time to ensure minimal logistics costs while avoiding any impact on product quality.

[0095] The automation of this series of operations is achieved through an integrated Enterprise Resource Planning (ERP) system and advanced algorithms. The system uses these tools to receive and process data in real time, ensuring that all transfer activities are based on the latest market and inventory information. Furthermore, the system can monitor for any anomalies during the transfer execution process and make timely adjustments to ensure the smooth operation of the transfer activities.

[0096] By implementing this technological solution, the company can more effectively manage inventory of products that are about to be discontinued or sold out, reducing financial losses caused by product surplus. The system's automated operation reduces human error and improves operational efficiency. At the same time, optimized allocation priorities and allocation order update mechanisms ensure optimal resource allocation and improve the efficiency of inventory capital utilization.

[0097] Furthermore, the application of this technology helps businesses improve their responsiveness to market changes and enhance their market competitiveness. By reducing inventory backlog and optimizing product flow, businesses can free up inventory space more quickly, making it possible to introduce new products, thereby better meeting market demands and enhancing customer satisfaction.

[0098] In summary, this technical solution not only improves the accuracy and efficiency of inventory management, but also strengthens the company's supply chain management through intelligent allocation prioritization and timely updates of allocation orders. It is a very effective strategy in the medical device industry for handling discontinued and unsold products.

[0099] In one embodiment of the medical device product operation method of this application, see [link to relevant documentation]. Figure 3 It can also specifically include the following:

[0100] Step S301: Determine the adjustment value when updating the allocation priority of the product model to be allocated;

[0101] Step S302: Adjust the discontinued and unsold data accordingly to the target product of the product model to be transferred, based on the adjustment value.

[0102] Optionally, in the medical device industry, managing and optimizing product inventory, especially the effective allocation of product models to be transferred, is a key step in ensuring maximum resource utilization and reducing waste. A systematic and precise allocation strategy is particularly important when dealing with products that are about to be discontinued or withdrawn from sale. Efficient allocation management of these products can be achieved through steps S301 and S302, the specific technical principles and working processes of which are as follows.

[0103] In step S301, the system first needs to determine the adjustment value for updating the allocation priority of the product model to be allocated. This value is calculated based on multiple factors, including but not limited to the product's current inventory, historical sales data, market demand forecasts, product lifecycle status, and geographical location. Determining the adjustment value is a dynamic decision-making process involving complex data analysis and forecasting models.

[0104] For example, if a product is about to be discontinued in one region but still has high demand in another, the system will analyze this data using an algorithm to calculate a positive adjustment value, increasing the priority of allocating that product model to regions with high demand. Conversely, if demand for a product is decreasing in all regions, the adjustment value may be negative, meaning a reduction in the allocation of that product.

[0105] Next, in step S302, based on the adjustment value determined in step S301, the system accordingly adjusts the discontinued and discontinued sales data to the target product of the product model to be transferred. This step is the actual transfer operation stage. The system updates the transfer order according to the magnitude and direction of the adjustment value to ensure that products can be effectively allocated to the regions that need them.

[0106] For example, if the adjustment value of a product model is positive, the system will generate or update a transfer order to move more of that product model from areas with high inventory or low demand to areas with high demand. The transfer order will specify in detail which warehouse to which warehouse, the quantity of products to be transferred, and the transfer schedule. This process not only takes into account the actual demand for the products but also optimizes logistics costs and time as much as possible, ensuring that the products arrive at their destination within their shelf life.

[0107] In terms of technical effectiveness, this systematic allocation management approach has a direct and positive impact on inventory optimization and cost control for medical device companies. Firstly, through precise adjustments to numerical calculations and timely updates to allocation orders, inventory backlog and expiration issues can be minimized, especially for products nearing discontinuation or sales. Secondly, this method ensures the rational allocation of resources, improves inventory turnover, and thus enhances the company's overall operational efficiency. Furthermore, by adjusting the allocation priorities of product models, the company can respond more quickly to market changes, improve customer satisfaction, and strengthen its market competitiveness.

[0108] In summary, by implementing steps S301 and S302, medical device companies can achieve efficient allocation management of discontinued and unsold products. This not only optimizes inventory but also improves operational transparency and forecasting accuracy, bringing significant economic and operational benefits to the company. This efficient inventory and allocation management strategy is a key tool for the medical device industry to address challenges in the face of market and product lifecycle changes.

[0109] In one embodiment of the medical device product operation method of this application, see [link to relevant documentation]. Figure 4 It can also specifically include the following:

[0110] Step S401: Determine the corresponding product model based on the real-time inventory of each product model type in the preset product model library;

[0111] Step S402: Determine the allocation occupancy rate of each product model type based on the real-time inventory of each product and the current regional replenishment plan, and determine the product allocation strategy based on the minimized allocation occupancy rate.

[0112] Optionally, in the medical device industry, precise and efficient inventory management and allocation strategies are crucial for maintaining supply chain stability and reducing operating costs. Specifically, the technical processes described in steps S401 and S402 are key steps in achieving this goal. The technical principles, working processes, and resulting technical effects of these two steps are explained in detail below.

[0113] The technical principle of step S401 is based on the dynamic monitoring and management of real-time inventory data. The system connects to a pre-set product model library to track the inventory status of various product models in real time. This monitoring is based on advanced data management systems, such as Enterprise Resource Planning (ERP) systems or Supply Chain Management (SCM) software, which can provide accurate inventory data and support real-time data updates. Furthermore, real-time inventory monitoring includes continuous evaluation of product flow, inventory levels, and utilization rates to adjust inventory strategies promptly and ensure that inventory levels match market demand.

[0114] In step S402, the system further analyzes the real-time inventory and current regional replenishment plan for each product model type to calculate the allocation utilization rate for each product model. The allocation utilization rate refers to the proportion of inventory expected to be allocated within a specific timeframe relative to available inventory. This metric is crucial for assessing inventory liquidity and availability. The system optimizes the allocation utilization rate through algorithmic optimization, combined with historical data analysis, predictive models, and market trends, thereby formulating the optimal product allocation strategy. This strategy considers cost-effectiveness, supply chain flexibility, and responsiveness, aiming to reduce the risks of surplus and shortage by rationally allocating inventory resources.

[0115] The process involves two steps. First, the system continuously receives and updates inventory data through integration with ERP or SCM systems. This data includes the quantity of products in each warehouse, the status of products in transit, and predicted sales trends. Then, the system uses this data to determine the actual inventory level for each product model and compares it with a pre-set replenishment plan, assessing the supply status of each product in real time.

[0116] Next, in step S402, the system uses this data to calculate the allocation occupancy rate and seeks a strategy to minimize this rate through an optimization algorithm. This may involve adjusting the allocation quantity, changing the timing of the allocation, or reallocating resources to different regions. The system will consider various factors such as transportation costs, the shelf life of goods, and the urgency of market demand to ultimately determine a reasonable allocation strategy.

[0117] In terms of technological effectiveness, this inventory management and allocation strategy based on real-time data and advanced analytics can significantly improve the efficiency and effectiveness of the supply chain. First, real-time inventory monitoring ensures the accuracy and timeliness of data, making decision-making more scientific and effective. Second, by optimizing allocation utilization, companies can use inventory more rationally, reducing cost losses caused by excess or shortages. Furthermore, flexible allocation strategies can quickly respond to market changes, improving customer satisfaction and the company's market competitiveness.

[0118] In summary, by implementing steps S401 and S402, accurate allocation and optimization of inventory are crucial in modern supply chain management. This is especially true in industries requiring a high degree of responsiveness to market fluctuations and consumer demand, such as electronics and medical devices. Inventory management not only impacts cost control but also directly relates to a company's service level and market competitiveness. In this context, the implementation of steps S401 and S402 is particularly important.

[0119] Step S401 involves determining the corresponding product model based on the real-time inventory of each product model type in the preset product model library. The core of this step is to achieve real-time monitoring and dynamic updating of the inventory status of various products. This functionality typically relies on advanced IT systems, such as Enterprise Resource Planning (ERP) systems, which can integrate information from all aspects of the supply chain, enabling real-time data updates and sharing. The product model library, as a preset database, contains detailed information on all of the company's products, including but not limited to product specifications, models, historical inventory data, and sales cycles. Through real-time updates and analysis of this data, the company can quickly understand the inventory status of each product, providing data support for subsequent inventory allocation and replenishment decisions.

[0120] Step S402 further determines the allocation utilization rate for each product model type based on the real-time inventory information obtained in step S401 and the current replenishment plan for the region, and formulates a product allocation strategy accordingly. The allocation utilization rate is a key indicator, representing the proportion of inventory reserved for allocation within a specific time period relative to the total inventory. A lower allocation utilization rate means higher inventory availability and more flexible inventory management. Key technologies in this step include inventory optimization algorithms and allocation strategy models. These technologies help decision-makers minimize the allocation utilization rate and optimize inventory allocation through scientific calculations, thereby reducing costs and improving service levels.

[0121] The specific workflow of these two steps is as follows: First, the system, through integration with the ERP system, receives real-time inventory data from various sales points and warehouses. This data is transmitted via the network to a central database, updating the inventory information in the product model library in real time. Next, the system analyzes the current inventory status and regional replenishment needs, using inventory optimization algorithms to calculate the ideal allocation utilization rate for each product model. Finally, based on the calculation results, the system generates specific product allocation strategies to guide the logistics department in making corresponding inventory allocations.

[0122] In terms of technical benefits, implementing this process significantly improves the efficiency and accuracy of inventory management. By monitoring inventory status in real time, companies can respond promptly to market changes, avoiding overstocking and shortages, and reducing inventory holding costs. Simultaneously, optimizing allocation rates ensures the rational distribution of inventory, improving the responsiveness and flexibility of the entire supply chain. Furthermore, this scientific inventory management approach can enhance customer satisfaction and strengthen the company's market competitiveness by ensuring timely product supply.

[0123] In one embodiment of the medical device product operation method of this application, see [link to relevant documentation]. Figure 5 It can also specifically include the following:

[0124] Step S501: Convert the product model matching relationship in the inventory structure into a product matching directed graph, wherein the nodes in the product matching directed graph represent product models, and the edges in the product matching directed graph represent the matching relationship between product models;

[0125] Step S502: Determine the corresponding discontinued and unsold product transfer order based on the product model and the product matching directed graph, and execute the discontinued and unsold product transfer order according to the product request strategy determined by minimizing the transfer occupancy rate.

[0126] Optionally, steps S501 and S502 constitute a highly specialized inventory management process, primarily used for meticulous management of product inventory and optimization of product mix strategies, especially when dealing with products that need to be discontinued or taken off the market. This process not only effectively utilizes existing inventory but also reduces inventory waste and improves resource utilization efficiency.

[0127] The technical principle of step S501 is based on graph theory, where product models are treated as nodes in a graph, and the pairing relationships between products are represented by directed edges. This method can visually demonstrate the relationships and interdependencies between different products, helping to understand and analyze the complexity of product mix and sales strategies. Directed graphs of product pairings not only reflect the compatibility and complementarity between products but also reveal product combinations that are frequently sold or used together, which is crucial for developing sales and inventory strategies.

[0128] Step S502 utilizes the constructed directed graph of product pairings to optimize the allocation of discontinued and unsold products. Based on the dependencies and pairing data in the graph, the system can identify which products should be prioritized for allocation or clearance to ensure efficient use of inventory space without affecting the normal sales of other products. The generation and execution of allocation orders are based on a strategy of minimizing allocation occupancy, meaning the system will minimize inventory occupation while ensuring the timely processing of discontinued and unsold products.

[0129] In step S501, it is first necessary to collect and analyze data from various products, including but not limited to sales data, market feedback, and product lifecycle information. This data will be used to define the pairing relationships between products and converted into a directed graph. This process may require the use of professional data analysis software and graphical visualization tools, such as Python's NetworkX library, Gephi, or Tableau. These tools can help data analysts understand and manipulate the data more intuitively.

[0130] The execution of step S502 relies on the directed graph constructed in step S501. The system analyzes the structure of the graph, identifies key nodes (i.e., key product models) and their dependency edges, and then generates transfer orders for discontinued and unsold products. These transfer orders are optimized based on actual product demand and inventory status to minimize overall inventory holdings. Transfer execution may involve integration with supply chain management systems such as SAP or Oracle SCM Cloud, which can automate the execution of transfer orders, from order processing to logistics arrangements.

[0131] The main technical benefits of implementing steps S501 and S502 include inventory optimization, cost savings, and improved supply chain efficiency. By converting product models and pairing relationships into directed graphs, companies can more clearly see the interactions and dependencies between products, enabling more accurate inventory planning and product recommendations. Furthermore, this approach provides a rapid response solution to market changes and product updates, effectively preventing resource waste, especially when dealing with products that need to be discontinued or taken off the market.

[0132] Furthermore, the strategy of minimizing inventory allocation ensures efficient use of inventory, reducing the risks and costs associated with excess or insufficient inventory. Through intelligent inventory management, companies can better adjust their production and sales strategies and respond quickly to market changes, rather than simply accumulating or clearing inventory. Implementing this strategy, especially in highly competitive market environments, can provide companies with a significant competitive advantage.

[0133] Overall, steps S501 and S502, through advanced data analysis and graph theory applications, enable refined management of product inventory and product combinations. This not only improves inventory utilization efficiency but also optimizes resource allocation and market responsiveness, making it an important technological tool in modern supply chain management.

[0134] In one embodiment of the medical device product operation method of this application, see [link to relevant documentation]. Figure 6 It can also specifically include the following:

[0135] Step S601: Determine the corresponding product allocation order based on the dependencies between the product model types;

[0136] Step S602: Determine the corresponding inventory structure based on the procurement and distribution replenishment needs and the product allocation sequence.

[0137] Optionally, in modern supply chain management, ensuring that products reach consumers in a timely and efficient manner from the production line is crucial. To achieve this, precise management of product dependencies and inventory structure is necessary, especially in multi-product, multi-tiered supply chain systems. Steps S601 and S602 are central to this management process, involving everything from setting product allocation sequences to optimizing inventory structure.

[0138] First, step S601 focuses on determining the product allocation order based on the dependencies between product model types. In this step, each product or component not only has its unique function and purpose but may also depend on or support the functions of other products. For example, assembling an electronic device may require the circuit board to be prepared before subsequent screen installation. Therefore, correctly understanding and handling these dependencies is crucial for ensuring smooth production and the supply chain. Typically, this process requires advanced data analysis and modeling techniques. Using data analysis, a dependency graph can be constructed, and algorithms such as topological sorting in graph theory can be used to determine product priorities, thereby establishing a scientific product allocation order.

[0139] The next step, S602, determines the inventory structure based on the product allocation sequence and the replenishment needs of each warehouse. The key to this step is combining the allocation sequence with actual inventory demand to ensure that each warehouse receives the necessary products at the right time, meeting market demand without causing overstocking or shortages. This typically involves complex inventory management systems and forecasting techniques, such as using statistical models to predict market demand for each product and incorporating historical sales data and seasonal fluctuations to adjust inventory strategies. Furthermore, modern inventory management may employ machine learning algorithms to continuously optimize the inventory decision-making process, adjusting inventory levels through real-time data feedback to adapt to market changes.

[0140] In terms of technical effectiveness, this integrated product allocation and inventory management strategy offers several advantages. First, it significantly improves the responsiveness and flexibility of the supply chain. By precisely controlling the product allocation sequence and inventory levels, production stoppages caused by product mismatches or delays can be reduced, thereby accelerating the flow of products from production to market. Second, a rational inventory structure can reduce unnecessary inventory backlog and related costs, improving capital turnover. Furthermore, systematic inventory and allocation management also helps improve customer satisfaction because product supply is more stable and reliable, enabling a faster response to changes in market demand.

[0141] In summary, through precise data analysis and efficient inventory management techniques, steps S601 and S602 not only optimize every link in the product circulation process, ensuring rapid on-demand allocation and supply, but also help companies reduce operating costs and enhance market competitiveness. This methodology plays an increasingly important role in modern supply chain management, especially in the face of volatile market demands and a highly competitive business environment.

[0142] In one embodiment of the medical device product operation method of this application, see [link to relevant documentation]. Figure 7 It can also specifically include the following:

[0143] Step S701: Receive the product status maintenance instruction sent by the procurement and control personnel in the medical device operation platform, parse the product status maintenance instruction, and obtain the corresponding structured data;

[0144] Step S702: Input the structured data into a preset pre-trained language model to obtain the procurement and warehousing replenishment requirements output by the pre-trained language model, and determine the product model type corresponding to the procurement and warehousing replenishment requirements according to preset association rules.

[0145] Optionally, in the modern medical device industry, accurately and quickly handling product status changes is crucial, especially for products that are discontinued or withdrawn from sale. This not only relates to regulatory compliance but also directly impacts supply chain efficiency and healthcare safety. Steps S701 and S702 are key steps in handling such product status changes, ensuring rapid information transmission and precise execution.

[0146] Step S701 first involves receiving product status maintenance instructions from procurement and control personnel on the medical device operations platform. These instructions are typically issued by the medical device operations team after identifying a product that needs to be discontinued or withdrawn from sale, possibly due to reasons such as regulatory changes, safety concerns, or outdated technology. The received instructions need to be accurately parsed by the system, requiring efficient information processing technology to convert the unstructured instruction text into structured data. This process typically involves Natural Language Processing (NLP) techniques, such as text classification and entity recognition, to identify key information in the text, such as the product number, discontinuation date, and specific operational requirements.

[0147] After parsing, step S702 involves inputting the parsed structured data into a pre-trained language model. This pre-trained language model is typically trained on large-scale text data and is capable of understanding and processing various queries and instructions related to medical devices. The model's output is a prediction of the procurement and replenishment needs corresponding to discontinued or unsold products, derived through analysis of multiple factors such as product type, historical sales data, and seasonal demand. Furthermore, based on pre-defined association rules, the system automatically determines the product model type corresponding to these replenishment needs, thereby ensuring that warehouse inventory is updated in a timely manner to meet new supply demands.

[0148] The implementation of this technological framework has several positive effects. First, it significantly improves the speed and accuracy of product status updates in the medical device supply chain. By automating the processing of discontinuation and sales orders, it reduces the possibility of human error and accelerates data processing, enabling medical institutions to respond quickly and ensure medical safety and service quality.

[0149] Secondly, by inputting structured data into a pre-trained language model, replenishment needs for procurement and distribution can be accurately predicted. This prediction is not only based on past sales data but also adapts to market changes and real-time supply chain conditions, thereby optimizing inventory levels and reducing the risks of capital tied up and excessive inventory.

[0150] Furthermore, automatically identifying the product model type corresponding to replenishment needs helps maintain and optimize the product line. This is especially important in the medical device industry, where products frequently need to be updated based on the latest medical research and technological advancements.

[0151] In summary, this highly automated and intelligent processing method makes supply chain management in the medical device industry more efficient and secure. This not only improves operational efficiency for companies but also helps enhance the industry's overall adaptability to market and technological changes.

[0152] To effectively improve the efficiency of abnormal monitoring of discontinued and unsold products on a product operation platform, this application provides an embodiment of a medical device product operation device for implementing all or part of the aforementioned medical device product operation method. See [link to embodiment]. Figure 8 The medical device product operating device specifically includes the following components:

[0153] The inventory determination module 10 is used to receive the discontinued and unsold product status maintenance instructions sent by the procurement and control personnel in the medical device operation platform, determine the corresponding procurement and warehousing replenishment requirements and the product model types corresponding to the procurement and warehousing replenishment requirements based on the discontinued and unsold product status maintenance instructions and the preset natural language analysis model, and determine the corresponding inventory structure based on the procurement and warehousing replenishment requirements and the dependency relationship between each product model type.

[0154] Product allocation module 20 is used to determine the corresponding product model and product allocation strategy based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library, determine the corresponding discontinued and discontinued product allocation order based on the product model and the product model matching relationship in the inventory structure, and execute the discontinued and discontinued product allocation order according to the product allocation strategy.

[0155] The discontinuation and sales monitoring module 30 is used to monitor the discontinuation and sales data of each product model during the operation of the medical device operation platform. When the discontinuation and sales data exceeds the preset safety stock threshold, the discontinuation and sales product transfer order is updated according to the discontinuation and sales data and the inventory data of the product models to be transferred in the medical device operation platform, and the product transfer operation is executed according to the updated discontinuation and sales product transfer order.

[0156] As described above, the medical device product operation device provided in this application embodiment can receive discontinued and unsold product status maintenance instructions sent by procurement and control personnel in the medical device operation platform. Based on the discontinued and unsold product status maintenance instructions and a preset natural language analysis model, it determines the corresponding procurement and warehousing replenishment needs and the product model types corresponding to the procurement and warehousing replenishment needs. It also determines the corresponding inventory structure based on the procurement and warehousing replenishment needs and the dependencies between each product model type. Based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library, it determines the corresponding product model and product allocation strategy. Based on the product model and the product model matching relationship in the inventory structure, it determines the corresponding discontinued and unsold product transfer order and executes the discontinued and unsold product transfer order according to the product allocation strategy. This can effectively improve the efficiency of supervision of discontinued and unsold products.

[0157] From a hardware perspective, in order to effectively improve the efficiency of abnormal monitoring of discontinued and unsold products on the product operation platform, this application provides an embodiment of an electronic device for implementing all or part of the aforementioned medical device product operation method. The electronic device specifically includes the following components:

[0158] The system comprises a processor, memory, a communications interface, and a bus; wherein the processor, memory, and communications interface communicate with each other via the bus; the communications interface is used to realize information transmission between the medical device product operation device and core business systems, user terminals, and related databases and other related devices; the logic controller can be a desktop computer, tablet computer, or mobile terminal, etc., and this embodiment is not limited to these. In this embodiment, the logic controller can be implemented with reference to the embodiments of the medical device product operation method and the medical device product operation device in the embodiments, the content of which is incorporated herein, and repeated details will not be described again.

[0159] It is understood that the user terminal may include smartphones, tablet computers, network set-top boxes, portable computers, desktop computers, personal digital assistants (PDAs), in-vehicle devices, smart wearable devices, etc. Among these, the smart wearable devices may include smart glasses, smartwatches, smart bracelets, etc.

[0160] In practical applications, the operation method of a medical device product can be partially executed on the electronic device side as described above, or all operations can be completed on the client device. The choice can be made based on the processing power of the client device and the limitations of the user's usage scenario. This application does not impose any limitations on this. If all operations are completed on the client device, the client device may further include a processor.

[0161] The aforementioned client device may have a communication module (i.e., a communication unit) that can communicate with a remote server to achieve data transmission. The server may include a server on the task scheduling center side; in other implementation scenarios, it may also include a server on an intermediate platform, such as a server on a third-party server platform that has a communication link with the task scheduling center server. The server may include a single computer device, a server cluster consisting of multiple servers, or a distributed server structure.

[0162] Figure 9 This is a schematic block diagram illustrating the system configuration of the electronic device 9600 according to an embodiment of this application. Figure 9 As shown, the electronic device 9600 may include a central processing unit 9100 and a memory 9140; the memory 9140 is coupled to the central processing unit 9100. It is worth noting that... Figure 9 This is an example; other types of structures can also be used to supplement or replace this structure to achieve telecommunications functions or other functions.

[0163] In one embodiment, the medical device product operation method function can be integrated into the central processing unit 9100.

[0164] The central processing unit 9100 can be configured to perform the following controls:

[0165] Step S101: Receive the discontinued product status maintenance instruction sent by the procurement and control personnel in the medical device operation platform; determine the corresponding procurement and warehousing replenishment requirements and the product model types corresponding to the procurement and warehousing replenishment requirements based on the discontinued product status maintenance instruction and the preset natural language analysis model; and determine the corresponding inventory structure based on the procurement and warehousing replenishment requirements and the dependency relationship between each product model type.

[0166] Step S102: Determine the corresponding product model and product allocation strategy based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library; determine the corresponding discontinued and unsold product transfer order based on the product model and the product model matching relationship in the inventory structure; and execute the discontinued and unsold product transfer order according to the product allocation strategy.

[0167] Step S103: Monitor the discontinuation and sales data of each product model during the operation of the medical device operation platform. When the discontinuation and sales data exceeds the preset safety stock threshold, update the discontinuation and sales product transfer order according to the discontinuation and sales data and the inventory data of the product models to be transferred in the medical device operation platform, and execute the product transfer operation according to the updated discontinuation and sales product transfer order.

[0168] As described above, the electronic device provided in this application embodiment receives a product status maintenance instruction sent by procurement and control personnel in a medical device operation platform. Based on the product status maintenance instruction and a preset natural language analysis model, it determines the corresponding procurement and warehousing replenishment needs and the product model types corresponding to the procurement and warehousing replenishment needs. It also determines the corresponding inventory structure based on the dependency relationship between the procurement and warehousing replenishment needs and each product model type. Based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library, it determines the corresponding product model and product allocation strategy. Based on the product model and the product model matching relationship in the inventory structure, it determines the corresponding discontinued product transfer order and executes the discontinued product transfer order according to the product allocation strategy. This effectively improves the efficiency of monitoring discontinued products.

[0169] In another embodiment, the medical device product operating device can be configured separately from the central processing unit 9100. For example, the medical device product operating device can be configured as a chip connected to the central processing unit 9100, and the medical device product operating method function can be realized through the control of the central processing unit.

[0170] like Figure 9 As shown, the electronic device 9600 may further include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is worth noting that the electronic device 9600 does not necessarily need to include these components. Figure 9 All components shown; in addition, the electronic device 9600 may also include Figure 9 For components not shown, please refer to existing technologies.

[0171] like Figure 9 As shown, the central processing unit 9100, sometimes also referred to as a controller or operating control, may include a microprocessor or other processor device and / or logic device, which receives inputs and controls the operation of various components of the electronic device 9600.

[0172] The memory 9140 may be, for example, one or more of a cache, flash memory, hard drive, removable media, volatile memory, non-volatile memory, or other suitable devices. It may store the aforementioned failure-related information, and also store a program for executing that information. The central processing unit 9100 may execute the program stored in the memory 9140 to perform information storage or processing, etc.

[0173] Input unit 9120 provides input to central processing unit 9100. Input unit 9120 may be, for example, a keypad or touch input device. Power supply 9170 provides power to electronic device 9600. Display 9160 displays images and text. Display may be, for example, an LCD display, but is not limited thereto.

[0174] The memory 9140 can be a solid-state memory, such as a read-only memory (ROM), random access memory (RAM), SIM card, etc. It can also be a memory that retains information even when power is off, can be selectively erased, and contains more data; examples of this type of memory are sometimes referred to as EPROMs. The memory 9140 can also be some other type of device. The memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application / function storage unit 9142 for storing application programs and function programs or processes for executing the operation of the electronic device 9600 via the central processing unit 9100.

[0175] The memory 9140 may also include a data storage unit 9143 for storing data, such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. The driver storage unit 9144 of the memory 9140 may include various drivers for the electronic device's communication functions and / or for performing other functions of the electronic device (such as messaging applications, address book applications, etc.).

[0176] The communication module 9110 is a transmitter / receiver that sends and receives signals via the antenna 9111. The communication module 9110 (transmitter / receiver) is coupled to the central processing unit 9100 to provide input signals and receive output signals, which is the same as in a conventional mobile communication terminal.

[0177] Based on different communication technologies, multiple communication modules 9110 can be configured in the same electronic device, such as cellular network modules, Bluetooth modules, and / or wireless LAN modules. The communication module 9110 (transmitter / receiver) is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and receive audio input from the microphone 9132, thereby realizing typical telecommunications functions. The audio processor 9130 may include any suitable buffer, decoder, amplifier, etc. Additionally, the audio processor 9130 is coupled to a central processing unit 9100, enabling on-device recording via the microphone 9132 and on-device playback of stored audio via the speaker 9131.

[0178] Embodiments of this application also provide a computer-readable storage medium capable of implementing all steps of the medical device product operation method with a server or client as the execution subject in the above embodiments. The computer-readable storage medium stores a computer program that, when executed by a processor, implements all steps of the medical device product operation method with a server or client as the execution subject in the above embodiments. For example, when the processor executes the computer program, it implements the following steps:

[0179] Step S101: Receive the discontinued product status maintenance instruction sent by the procurement and control personnel in the medical device operation platform; determine the corresponding procurement and warehousing replenishment requirements and the product model types corresponding to the procurement and warehousing replenishment requirements based on the discontinued product status maintenance instruction and the preset natural language analysis model; and determine the corresponding inventory structure based on the procurement and warehousing replenishment requirements and the dependency relationship between each product model type.

[0180] Step S102: Determine the corresponding product model and product allocation strategy based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library; determine the corresponding discontinued and unsold product transfer order based on the product model and the product model matching relationship in the inventory structure; and execute the discontinued and unsold product transfer order according to the product allocation strategy.

[0181] Step S103: Monitor the discontinuation and sales data of each product model during the operation of the medical device operation platform. When the discontinuation and sales data exceeds the preset safety stock threshold, update the discontinuation and sales product transfer order according to the discontinuation and sales data and the inventory data of the product models to be transferred in the medical device operation platform, and execute the product transfer operation according to the updated discontinuation and sales product transfer order.

[0182] As described above, the computer-readable storage medium provided in this application embodiment receives discontinued and discontinued product status maintenance instructions sent by procurement and control personnel in a medical device operation platform. Based on the discontinued and discontinued product status maintenance instructions and a preset natural language analysis model, it determines the corresponding procurement and warehousing replenishment needs and the product model types corresponding to the procurement and warehousing replenishment needs. It also determines the corresponding inventory structure based on the procurement and warehousing replenishment needs and the dependencies between each product model type. Based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library, it determines the corresponding product model and product allocation strategy. Based on the product model and the product model matching relationship in the inventory structure, it determines the corresponding discontinued and discontinued product transfer order and executes the discontinued and discontinued product transfer order according to the product allocation strategy. This effectively improves the efficiency of monitoring discontinued and discontinued products.

[0183] Embodiments of this application also provide a computer program product capable of implementing all steps of the medical device product operation method in the above embodiments, where the execution subject is a server or a client. When executed by a processor, this computer program / instruction implements the steps of the medical device product operation method. For example, the computer program / instruction implements the following steps:

[0184] Step S101: Receive the discontinued product status maintenance instruction sent by the procurement and control personnel in the medical device operation platform; determine the corresponding procurement and warehousing replenishment requirements and the product model types corresponding to the procurement and warehousing replenishment requirements based on the discontinued product status maintenance instruction and the preset natural language analysis model; and determine the corresponding inventory structure based on the procurement and warehousing replenishment requirements and the dependency relationship between each product model type.

[0185] Step S102: Determine the corresponding product model and product allocation strategy based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library; determine the corresponding discontinued and unsold product transfer order based on the product model and the product model matching relationship in the inventory structure; and execute the discontinued and unsold product transfer order according to the product allocation strategy.

[0186] Step S103: Monitor the discontinuation and sales data of each product model during the operation of the medical device operation platform. When the discontinuation and sales data exceeds the preset safety stock threshold, update the discontinuation and sales product transfer order according to the discontinuation and sales data and the inventory data of the product models to be transferred in the medical device operation platform, and execute the product transfer operation according to the updated discontinuation and sales product transfer order.

[0187] As described above, the computer program product provided in this application embodiment receives a product status maintenance instruction sent by procurement and control personnel in the medical device operation platform. Based on the product status maintenance instruction and a preset natural language analysis model, it determines the corresponding procurement and warehousing replenishment needs and the product model types corresponding to the procurement and warehousing replenishment needs. It also determines the corresponding inventory structure based on the dependency relationship between the procurement and warehousing replenishment needs and each product model type. Based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library, it determines the corresponding product model and product allocation strategy. Based on the product model and the product model matching relationship in the inventory structure, it determines the corresponding discontinued product transfer order and executes the discontinued product transfer order according to the product allocation strategy. This effectively improves the efficiency of monitoring discontinued products.

[0188] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0189] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0190] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0191] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0192] Specific embodiments have been used to illustrate the principles and implementation methods of this invention. The descriptions of the embodiments above are only for the purpose of helping to understand the method and core ideas of this invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this invention. Therefore, the content of this specification should not be construed as a limitation of this invention.

Claims

1. A method for operating a medical device product, characterized in that, The method includes: The system receives a product status maintenance instruction from the procurement and control personnel in the medical device operation platform. Based on the instruction and a preset natural language processing model, it determines the corresponding procurement and warehousing replenishment requirements and the product model types corresponding to those requirements. It then determines the corresponding inventory structure based on the dependencies between the procurement and warehousing replenishment requirements and the product model types. The inventory structure includes the current inventory level of the discontinued product and the inventory level of related products. Based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library, determine the corresponding product model and product allocation strategy. Based on the product model and the product model matching relationship in the inventory structure, determine the corresponding discontinued and discontinued product allocation order, and execute the discontinued and discontinued product allocation order according to the product allocation strategy. The system monitors the discontinuation and sales data of each product model during the operation of the medical device operation platform. The discontinuation and sales data refers to the relevant inventory data when a product is about to be withdrawn from the market. When the discontinuation and sales data exceeds a preset safety stock threshold, the system updates the discontinuation and sales product transfer order based on the discontinuation and sales data and the inventory data of the product models to be transferred in the medical device operation platform, and executes the product transfer operation based on the updated discontinuation and sales product transfer order.

2. The method for operating a medical device product according to claim 1, characterized in that, When the discontinued and unsold product data exceeds a preset safety stock threshold, the discontinued and unsold product transfer order is updated based on the discontinued and unsold product data and the inventory data of the product models to be transferred in the medical device operation platform, including: When the data on discontinued use and sales exceeds a preset safety stock threshold, the allocation priority of the product model to be allocated is updated based on the inventory data of the product model to be allocated in the medical device operation platform. The discontinued and discontinued product transfer order is updated based on the discontinued and discontinued sales data and the updated product model to be transferred according to the transfer priority.

3. The method for operating a medical device product according to claim 2, characterized in that, The step of updating the discontinued product transfer order based on the discontinued and unsold data and the updated product model to be transferred according to the transfer priority includes: Determine the adjustment value when updating the allocation priority of the product model to be allocated; Based on the adjusted values, the data on discontinuing use and sales should be adjusted accordingly to the target product for the product model to be transferred.

4. The method for operating a medical device product according to claim 1, characterized in that, The step of determining the corresponding product model and product allocation strategy based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library includes: The corresponding product model is determined based on the real-time inventory of each product model type in the preset product model library. The allocation occupancy rate of each product model type is determined based on the real-time inventory of each product and the current regional replenishment plan, and the product allocation strategy is determined based on the minimized allocation occupancy rate.

5. The method for operating a medical device product according to claim 4, characterized in that, The step of determining the corresponding discontinued and discontinued product transfer order based on the product model and the product model matching relationship in the inventory structure, and executing the discontinued and discontinued product transfer order according to the product transfer strategy, includes: The product model matching relationships in the inventory structure are converted into a product matching directed graph, wherein the nodes in the product matching directed graph represent product models, and the edges in the product matching directed graph represent the matching relationships between product models; Based on the product model and the directed graph of product pairings, a corresponding transfer order for discontinued and discontinued products is determined, and the transfer order for discontinued and discontinued products is executed according to the product request strategy determined by minimizing the transfer occupancy rate.

6. The method for operating a medical device product according to claim 1, characterized in that, The step of determining the corresponding inventory structure based on the procurement and warehousing replenishment needs and the dependencies between the various product model types includes: The corresponding product allocation order is determined based on the dependencies between the various product model types. The corresponding inventory structure is determined based on the procurement and warehousing replenishment needs and the product allocation sequence.

7. The method for operating a medical device product according to claim 1, characterized in that, The step of determining the corresponding procurement and warehousing replenishment needs and the product model type corresponding to the procurement and warehousing replenishment needs based on the product status maintenance instructions sent by the procurement and control personnel in the medical device operation platform and the pre-set natural language processing model, includes: Receive the product status maintenance instruction sent by the procurement and control personnel in the medical device operation platform, parse the product status maintenance instruction, and obtain the corresponding structured data; The structured data is input into a preset pre-trained language model to obtain the procurement and warehousing replenishment requirements output by the pre-trained language model, and the product model type corresponding to the procurement and warehousing replenishment requirements is determined according to preset association rules.

8. A medical device product operating device, characterized in that, The device includes: The inventory determination module receives discontinued and unsold product status maintenance instructions sent by procurement and control personnel in the medical device operation platform. Based on the discontinued and unsold product status maintenance instructions and a preset natural language analysis model, it determines the corresponding procurement and warehousing replenishment needs and the product model types corresponding to the procurement and warehousing replenishment needs. Based on the dependencies between the procurement and warehousing replenishment needs and the product model types, it determines the corresponding inventory structure. The inventory structure includes the current inventory quantity of discontinued and unsold products and the inventory quantity of products associated with those products. The product allocation module is used to determine the corresponding product model and product allocation strategy based on the current regional replenishment plan and the product inventory of each product model type in the preset product model library, determine the corresponding discontinued and discontinued product allocation order based on the product model and the product model matching relationship in the inventory structure, and execute the discontinued and discontinued product allocation order according to the product allocation strategy. The discontinuation and discontinuation monitoring module is used to monitor the discontinuation and discontinuation data of each product model during the operation of the medical device operation platform. The discontinuation and discontinuation data is the relevant inventory data when the product is about to be withdrawn from the market. When the discontinuation and discontinuation data exceeds a preset safety stock threshold, the discontinuation and discontinuation product transfer order is updated according to the discontinuation and discontinuation data and the inventory data of the product models to be transferred in the medical device operation platform, and the product transfer operation is executed according to the updated discontinuation and discontinuation product transfer order.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the medical device product operation method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the steps of the medical device product operation method according to any one of claims 1 to 7.

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