Production operation management and control method and device used in storage leasing scene

Abstract

The invention provides a production operation management and control method and device used in a storage lease scene, and belongs to the technical field of Internet of Things. The method comprises the steps of obtaining warehousing operation data, and establishing a data view based on the warehousing operation data; dividing role responsibilities and role permissions of the warehousing operation personnel based on the data view, and determining an operation collaboration process based on the role responsibilities and the role permissions; and generating job scheduling information based on the job collaboration process, and monitoring the storage resource utilization rate and the storage operation efficiency in combination with the data view. According to the invention, intelligent, collaborative and efficient management of multi-role production operation in a warehouse lease scene can be realized, so that the operation efficiency is improved, the resource configuration is optimized, the operation cost is reduced, and the data security is guaranteed.

Description

Technical Field

[0001] This application belongs to the technical field of the Internet of Things, and particularly relates to a production operation control method and device for a warehousing rental scenario. Background Art

[0002] In the warehousing industry, with the development of Internet and Internet of Things technologies, warehousing rental business is gradually moving towards intelligence and digitization.

[0003] The construction costs of various warehouses, especially specialized warehouses (such as cold storages), are relatively high, and a considerable proportion of the storage of raw materials, semi-finished products, finished products, etc. in the bulk trade and processing industries relies on leased warehouses. When financial supervision services intervene, the goods storage link in the warehousing and logistics industry involves multiple parties, resulting in complex cross-management and remote supervision requirements. Existing warehousing management systems are often limited to internal applications, lacking openness to external rental enterprises, logistics enterprises, and third-party service institutions, causing breaks in the operation process and data islands, and affecting the overall operation efficiency and resource utilization rate. Summary of the Invention

[0004] To solve at least one aspect of the technical problems in the background art, this application provides a production operation control method for a warehousing rental scenario, which can realize intelligent, collaborative, and efficient management of multi-role production operations in the warehousing rental scenario, thereby improving operation efficiency, optimizing resource allocation, reducing operation costs, and ensuring data security.

[0005] The technical solution adopted by this application is as follows:

[0006] The first aspect embodiment of this application provides a production operation control method for a warehousing rental scenario, including:

[0007] Obtain warehousing operation data, and establish a data view based on the warehousing operation data;

[0008] Based on the data view, divide the role responsibilities and role authorities of warehousing operation personnel, and determine the operation collaboration process based on the role responsibilities and the role authorities;

[0009] Based on the operation collaboration process, generate operation scheduling information, and in combination with the data view, monitor the warehousing resource utilization rate and the warehousing operation efficiency.

[0010] The production operation control method for the warehousing lease scenario provided by the first aspect embodiment of the present application first obtains warehousing operation data and establishes a data view based on this. This step provides a solid data foundation for subsequent analysis and decision-making, enabling managers to comprehensively understand the warehousing status. Secondly, based on the established data view, the role responsibilities and permissions of warehousing operation personnel are divided, and the operation collaboration process is determined. This method helps to clarify the task division of each role, reduce duplicate labor and resource waste, and improve work efficiency and teamwork ability. Finally, operation scheduling information is generated according to the operation collaboration process, and the utilization rate of warehousing resources and operation efficiency are monitored in combination with the data view. This measure not only realizes the effective monitoring and optimal allocation of warehousing resources, but also improves the response speed and flexibility, ensuring the smooth progress of the operation process. In summary, this method comprehensively and dynamically manages warehousing operations, greatly improving the operation efficiency and service quality in the warehousing lease business, while ensuring data security and operation transparency.

[0011] According to an embodiment of the present application, the obtaining of warehousing operation data and establishing a data view based on the warehousing operation data are specifically as follows:

[0012] Real-time monitor and record the storage status of goods, environmental conditions and the operation status of logistics equipment in the warehouse, and obtain the order processing status, goods inbound and outbound records and inventory levels;

[0013] Based on the data view, construct a unified data model, and map the data in the unified data model to the corresponding business entities.

[0014] According to an embodiment of the present application, the constructing of a unified data model based on the data view and mapping the data in the unified data model to the corresponding business entities are specifically as follows:

[0015] Define that the business entities include goods, orders, inventory locations and logistics equipment;

[0016] Set association fields to connect the relationships between different business entities.

[0017] According to an embodiment of the present application, the dividing of the role responsibilities and role permissions of warehousing operation personnel based on the data view, and determining the operation collaboration process based on the role responsibilities and the role permissions are specifically as follows:

[0018] Set the role permissions of the warehouse management party to include viewing inventory records, adjusting inventory locations and updating goods status information, set the role permissions of the lessee to include viewing goods information, and set the role permissions of the logistics distribution party to include receiving distribution tasks and reporting the completion of operations.

[0019] According to one embodiment of the present application, dividing the role responsibilities and role permissions of warehouse operation personnel based on the data view, and determining the operation collaboration process based on the role responsibilities and the role permissions, further includes:

[0020] When inventory levels fall below a preset threshold, a replenishment reminder is sent to the warehouse management;

[0021] When the delivery time window is less than the preset time period, a notification to expedite processing is sent to the logistics delivery party.

[0022] According to one embodiment of the present application, the job scheduling information is generated based on the job collaboration process, and combined with the data view, the warehouse resource utilization and warehouse operation efficiency are monitored, specifically:

[0023] Determining the job priority and the job urgency in the job scheduling information, and generating a delivery route based on the job priority and the job urgency;

[0024] Based on the delivery path, deploy logistics equipment and human resources, and identify conflict points on the delivery path based on the data view;

[0025] The delivery path is replanned based on the conflict point.

[0026] According to one embodiment of the present application, generating job scheduling information based on the job collaboration process and monitoring warehouse resource utilization and warehouse operation efficiency in combination with the data view further includes:

[0027] Monitoring the location, operating load and health status of the logistics equipment through the data view;

[0028] Based on the data analysis results of the health status of the logistics equipment, a preventive maintenance strategy is formulated.

[0029] According to one embodiment of the present application, the method further includes:

[0030] Based on historical and real-time data views, machine learning algorithms are used to build predictive models to predict future workload, inventory requirements, and equipment maintenance cycles.

[0031] A second embodiment of the present application provides a production operation control device for a warehouse leasing scenario, including:

[0032] a data acquisition module adapted to acquire warehousing operation data and establish a data view based on the warehousing operation data;

[0033] An operation process determination module, adapted to divide the role responsibilities and role permissions of warehouse operation personnel based on the data view, and determine the operation collaboration process based on the role responsibilities and role permissions;

[0034] The job scheduling module is adapted to generate job scheduling information based on the job collaboration process and monitor the utilization rate of warehousing resources and the efficiency of warehousing operations in combination with the data view.

[0035] The third aspect of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the production operation control method for the warehousing lease scenario in any of the embodiments of the first aspect described above. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The drawings described herein are used to provide a further understanding of the present application and form a part of the present application. The illustrative embodiments and descriptions thereof of the present application are used to explain the present application and do not constitute an improper limitation of the present application. In the drawings:

[0037] Figure 1 It is a schematic flowchart of the production operation control method for the warehousing lease scenario provided by the embodiment of the present application;

[0038] Figure 2 It is a schematic structural diagram of the production operation control device for the warehousing lease scenario provided by the embodiment of the present application;

[0039] Figure 3 It is a schematic structural diagram of the electronic device provided by the embodiment of the present application.

[0040] Reference Signs:

[0041] 110, data acquisition module; 120, job process determination module; 130, job scheduling module;

[0042] 810, processor; 820, communication interface; 830, memory; 840, communication bus. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0043] In order to more clearly illustrate the overall concept of the present application, the following will be described in detail by way of examples in conjunction with the drawings of the specification.

[0044] Many specific details are set forth in the following description in order to provide a thorough understanding of the present application. However, the present application may be implemented in other ways different from those described herein. Therefore, the protection scope of the present application is not limited by the specific embodiments disclosed below. It should be noted that, without conflict, the embodiments of the present application and the features in each embodiment may be combined with each other.

[0045] In this application, unless otherwise clearly defined and limited, the first feature being "on" or "under" the second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of this application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0046] As Figure 1 shown, an embodiment of the first aspect of this application provides a production operation control method for a warehousing and leasing scenario, including:

[0047] Step 100: Obtain warehousing operation data and establish a data view based on the warehousing operation data.

[0048] Step 200: Based on the data view, divide the role responsibilities and role permissions of warehousing operation personnel, and determine the operation collaboration process based on the role responsibilities and role permissions.

[0049] Step 300: Generate operation scheduling information based on the operation collaboration process, and combine with the data view to monitor the utilization rate of warehousing resources and the efficiency of warehousing operations.

[0050] In step 100, information such as the storage status of goods, environmental conditions, and the operating status of logistics equipment in the warehouse can be monitored and recorded in real time, and combined with data such as order processing status, goods inbound and outbound records, and inventory levels to construct a unified data model. This not only covers static inventory data but also includes dynamic operation data, providing a comprehensive information basis for subsequent analysis and decision-making. In addition, by integrating data from different sources and mapping them to corresponding business entities (such as goods, orders, inventory locations, and logistics equipment), the consistency and accuracy of the data can be ensured, thus supporting more accurate management and scheduling.

[0051] Through the real-time updated data view, managers can understand the latest situation in the warehouse at any time and respond quickly. At the same time, accurate data collection and integration help to discover potential problems or bottlenecks, such as too low inventory of certain goods or low utilization rate of certain equipment, etc., so as to take targeted measures for optimization and adjustment to improve the overall operation efficiency.

[0052] In step 200, after establishing a detailed data view, the next task is to clarify the responsibilities and authorities of each role based on this information. For example, it is set that the warehouse management party can view inventory records, adjust inventory locations, and update cargo status information; the lessee mainly focuses on the status information of the goods; while the logistics and distribution party is responsible for receiving distribution tasks and reporting the completion of operations. This meticulous role division ensures that each participant can focus on their core responsibilities, avoiding situations of overlapping or missing responsibilities.

[0053] By designing the operation collaboration process based on role responsibilities and authorities, it can effectively promote communication and collaboration among multiple roles, reducing errors and delays in information transmission. For example, when the inventory level is below the preset threshold, a replenishment reminder is automatically sent to the warehouse management party, or when the delivery time window is approaching, an acceleration notice is sent to the logistics and distribution party. Such automated processes not only improve operation efficiency but also enhance the flexibility and response speed of the entire system, enabling the warehousing and leasing business to maintain competitiveness in a rapidly changing market environment.

[0054] In step 300, it involves generating specific operation scheduling information by using the previously defined operation collaboration process, including determining the operation priority and urgency, and planning the delivery route. By combining the real-time updated data view, the system can identify conflict points on the delivery route and re-plan the route to ensure that each task can be executed in the optimal way. In addition, by monitoring the location, operating load, and health status of logistics equipment, preventive maintenance strategies can be formulated to further improve the reliability and service life of the equipment.

[0055] By dynamically monitoring the utilization rate of warehousing resources and operation efficiency, enterprises can timely adjust resource allocation to maximize the role of existing facilities. At the same time, with the help of data analysis and intelligent scheduling algorithms, the system can predict future workloads, inventory demands, and equipment maintenance cycles, making preparations in advance to avoid delays or additional costs caused by unexpected situations, and ultimately achieving the goal of reducing operation costs and improving service quality.

[0056] According to the production operation control method for the warehousing rental scenario provided by the first aspect embodiment of the present application, first, warehousing operation data is obtained and a data view is established based on this. This step provides a solid data foundation for subsequent analysis and decision-making, enabling managers to comprehensively understand the warehousing status. Secondly, based on the established data view, the role responsibilities and authorities of warehousing operation personnel are divided, and the operation collaboration process is determined. This method helps to clarify the task division of each role, reduce duplicate labor and resource waste, and improve work efficiency and teamwork ability. Finally, operation scheduling information is generated according to the operation collaboration process, and the utilization rate of warehousing resources and operation efficiency are monitored in combination with the data view. This measure not only realizes the effective monitoring and optimal allocation of warehousing resources, but also improves the response speed and flexibility, ensuring the smooth progress of the operation process. In summary, this method greatly improves the operation efficiency and service quality in the warehousing rental business through comprehensive and dynamic management of warehousing operations, while ensuring data security and operation transparency.

[0057] In some embodiments of the present application, obtaining warehousing operation data and establishing a data view based on the warehousing operation data specifically includes:

[0058] Real-time monitor and record the storage status of goods, environmental conditions, and the operating status of logistics equipment in the warehouse, and obtain the order processing status, goods inbound and outbound records, and inventory levels;

[0059] Based on the data view, a unified data model is constructed, and the data in the unified data model is mapped to the corresponding business entities. Specifically, the system will real-time monitor and record multiple key information in the warehouse, including but not limited to the storage status of goods, environmental conditions (such as parameters with specific requirements for warehousing conditions like temperature, humidity, etc.), and the operating status of logistics equipment. In addition, the status information of order processing will also be obtained, such as whether the order has been processed and what the current processing progress is; at the same time, the relevant information of goods inbound and outbound and the data of inventory levels will also be recorded. These information sources are extensive, covering multiple aspects from actual physical storage conditions to business operation processes, ensuring the comprehensiveness and accuracy of the data.

[0060] Next, based on the collected data, a unified data model is constructed, and the data in the model is mapped to the corresponding business entities. The business entities mentioned here include, but are not limited to, goods, orders, inventory locations, and logistics equipment, etc. By defining these business entities and their relationships with each other (for example, setting up associated fields to connect the relationships between different business entities), a data architecture with clear logic and reasonable structure can be constructed. Such an approach not only helps improve the efficiency of data processing but also ensures the smooth flow of information between various business processes, providing solid data support for subsequent role and responsibility division, operation collaboration process design, and intelligent scheduling. This step is the key foundation for the efficient operation of multi-role production operations in the entire warehousing lease scenario, enabling various complex information to be effectively managed and utilized on the same platform, thereby enhancing the overall operation efficiency and service quality.

[0061] In some embodiments of the present application, a unified data model is constructed based on the data view, and the data in the unified data model is mapped to the corresponding business entities, specifically as follows:

[0062] Define the business entities including goods, orders, inventory locations, and logistics equipment;

[0063] Set up associated fields to connect the relationships between different business entities.

[0064] Specifically, defining business entities is the basis for constructing a unified data model. These business entities include core elements such as goods, orders, inventory locations, and logistics equipment. Each business entity represents an important aspect in warehousing management: goods refer to the specific items stored in the warehouse; orders cover the information for processing customer requests; inventory locations describe the specific storage locations of goods in the warehouse; and logistics equipment involves various machinery and devices used for handling, storing, and picking goods.

[0065] Next, in order to ensure that these business entities can cooperate effectively and accurately reflect the actual situation, it is necessary to set up associated fields to connect the relationships between different business entities. For example, an order can be associated with specific goods through the order number, goods can be linked to specific inventory locations through the inventory number, or the operation records of logistics equipment can be matched with the goods it is responsible for handling through the equipment ID. This method not only helps establish a logically rigorous data structure but also enables information to flow smoothly between different business entities, improving the consistency and accuracy of data.

[0066] The direct benefit of this approach is that it can create a comprehensive and detailed warehousing management system in which the relationships between various components (such as goods, orders, inventory locations, and logistics equipment) are clearly defined and maintained. This provides a solid foundation for subsequent role and responsibility division, operation coordination process design, and intelligent scheduling, and also supports more efficient decision-making and problem-solving. In addition, in this way, the system can better adapt to the complex and changing warehousing environment, ensure that all operations can be carried out efficiently and accurately, and thus improve the overall operation efficiency and service quality.

[0067] In some embodiments of the present application, based on the data view, the roles and responsibilities and role permissions of warehousing operators are divided, and the operation coordination process is determined based on the roles and responsibilities and role permissions. Specifically:

[0068] It is set that the role permissions of the warehouse management party include viewing inventory records, adjusting inventory locations, and updating goods status information; the role permissions of the lessee are set to include viewing goods information; and the role permissions of the logistics distribution party are set to include receiving distribution tasks and reporting the completion of operations.

[0069] Specifically, specific role permissions are set for different types of users. For the warehouse management party, its role permissions include operation permissions such as viewing inventory records, adjusting inventory locations, and updating goods status information. These permissions ensure that warehouse managers can comprehensively understand the goods situation in the warehouse, flexibly adjust storage strategies, and timely update the goods status information to ensure the accuracy and timeliness of the data.

[0070] Secondly, the role permissions of the lessee mainly focus on viewing goods information, which enables lessee customers to always master the status of their stored goods, but they do not need and should not have the permission to modify or adjust the goods locations, thus ensuring the security and consistency of the data. For the logistics distribution party, its role permissions include receiving distribution tasks and reporting the completion of operations. This means that logistics personnel can perform inbound and outbound operations on goods according to the tasks assigned by the system and feedback the completion of the tasks through the system, ensuring the transparency and traceability of the entire logistics distribution process.

[0071] Based on the above definitions of roles and responsibilities and permissions, the operation coordination process is further determined. For example, when the inventory level is lower than the preset threshold, the system will automatically send a replenishment reminder to the warehouse management party; when the delivery time window is approaching, the system will send a notice of accelerating processing to the logistics distribution party. This coordination process designed according to roles and responsibilities and permissions not only improves the communication efficiency between various roles, reduces errors and delays in information transmission, but also enhances the flexibility and response speed of the system. In this way, the entire warehousing lease business can operate efficiently in a complex multi-role environment, ensure that all operations can proceed smoothly, and at the same time maximize the overall operation efficiency and service quality.

[0072] In some embodiments of the present application, based on the data view, the role responsibilities and role permissions of warehouse operation personnel are divided, and the operation collaboration process is determined based on the role responsibilities and role permissions. It further includes:

[0073] When the inventory level is lower than the preset threshold, a replenishment reminder is sent to the warehouse management party;

[0074] When the delivery time window is less than the preset time period, a notice for accelerated processing is sent to the logistics distribution party.

[0075] Specifically, when the inventory level is lower than the preset threshold, the system automatically sends a replenishment reminder to the warehouse management party. This mechanism ensures that warehouse administrators can promptly learn about inventory shortages and quickly take actions, such as adjusting inventory locations or initiating new purchase requests. By monitoring the inventory level in real time and setting reasonable thresholds, service interruptions or customer dissatisfaction caused by insufficient inventory can be effectively avoided, while optimizing inventory management and reducing the cost pressure brought by excess inventory.

[0076] Secondly, when the delivery time window is less than the preset time period, the system sends a notice for accelerated processing to the logistics distribution party. This means that when the order processing is approaching the scheduled delivery time, the system can automatically identify potential time urgency and issue a warning to the logistics distribution personnel responsible for the task, prompting them to speed up the processing or prioritize the relevant orders. This instant feedback mechanism helps improve the on-time rate and service quality of logistics distribution, ensuring that goods can be accurately delivered to customers within the specified time, thereby enhancing customer satisfaction.

[0077] These automated notification and early warning mechanisms not only enhance the communication and collaboration efficiency among various roles but also improve the flexibility and response speed of the entire warehouse operation process. In this way, the system can dynamically adjust the operation process according to actual business needs, reduce the possibility of human intervention, make warehouse management more intelligent and efficient, and ultimately achieve the goal of improving the overall operation efficiency and service quality. In addition, it also provides clearer operation guidance and support for warehouse management personnel and logistics distribution personnel, helping them maintain efficient operation in a complex and changing working environment.

[0078] In some embodiments of the present application, based on the operation collaboration process, operation scheduling information is generated, and in combination with the data view, the utilization rate of warehouse resources and the efficiency of warehouse operations are monitored. Specifically:

[0079] Determine the job priority and job urgency in the operation scheduling information, and generate a delivery route based on the job priority and job urgency;

[0080] Based on the delivery route, allocate logistics equipment and human resources, and identify conflict points on the delivery route based on the data view;

[0081] Perform secondary planning on the delivery route based on the conflict points.

[0082] Specifically, first, the system determines the job priorities and job urgency levels in the job scheduling information. This step involves evaluating and sorting all pending tasks to identify which tasks need to be processed first and which tasks have a high level of urgency. For example, orders approaching their delivery deadlines are marked as high-priority and urgent tasks. Based on this information about priorities and urgency levels, the system can generate an optimal delivery route to ensure that high-priority tasks are processed in a timely manner.

[0083] Next, based on the generated delivery route, the system allocates logistics equipment and human resources. This means reasonably arranging the currently available resources (such as logistics equipment like forklifts, handling robots, etc. and warehouse staff) to perform specific tasks. At the same time, the system uses the data view to monitor and identify potential conflict points on the delivery route in real time. These conflict points may include issues such as traffic jams, equipment failures, or insufficient human resources, which may cause delivery delays or inefficiencies.

[0084] Once these conflict points are identified, the system performs secondary planning on the delivery route. By analyzing the specific situation of the conflicts, the system can adjust the original delivery plan, such as reallocating tasks to other idle equipment or personnel, or choosing an alternative route to avoid congestion. This dynamic adjustment mechanism not only improves the flexibility and response speed of task completion but also ensures the efficient operation of the entire warehousing process, minimizing delays and resource waste to the greatest extent.

[0085] Generally speaking, this method realizes the effective utilization and refined management of warehousing resources through intelligent job scheduling and real-time monitoring. It not only improves the efficiency and service quality of warehousing operations but also enhances the adaptability and flexibility of the system. In addition, by continuously optimizing and adjusting the job scheduling information, the operating costs can be further reduced and customer satisfaction can be improved.

[0086] In some embodiments of the present application, based on the job collaboration process, generate job scheduling information, and in combination with the data view, monitor the utilization rate of warehousing resources and the efficiency of warehousing operations, and further include:

[0087] Monitor the location, operating load, and health status of logistics equipment through the data view;

[0088] Formulate a preventive maintenance strategy based on the analysis results of the health status data of logistics equipment.

[0089] Specifically, the location, current operating load, and overall health status of logistics equipment (such as forklifts, automated guided vehicles, etc.) are monitored in real time through a data view. This step utilizes Internet of Things (IoT) technology and sensors to collect various data during equipment operation, including but not limited to equipment location, working hours, load conditions, fault alarms, etc.

[0090] By analyzing the collected equipment health status data, potential equipment failures or performance degradations can be predicted, thereby enabling advance planning of maintenance activities. This method is called preventive maintenance, which can identify possible problems before actual equipment failures occur and take measures to address them, such as replacing worn parts or making necessary adjustments. The benefits of this are reducing unexpected downtime, extending equipment service life, lowering maintenance costs, and ensuring the continuity and efficiency of warehousing operations.

[0091] In some embodiments of the present application, the method further includes:

[0092] Based on historical data and real-time data views, use machine learning algorithms to build a prediction model to predict future workloads, inventory demands, and equipment maintenance cycles.

[0093] Utilize historical data and real-time data views to build a prediction model through machine learning algorithms to estimate future workloads, inventory demands, and equipment maintenance cycles. This method can accurately identify business patterns and trends by deeply analyzing past data and combining current real-time data, thereby providing forward-looking insights for enterprises. Based on these predictions, enterprises can not only optimize inventory management to ensure the efficient storage and flow of goods, but also reasonably arrange human resources and equipment maintenance plans, avoid over- or under-allocation of resources, and thus improve operational efficiency and service quality, enhancing market competitiveness.

[0094] As Figure 2 shown, an embodiment of the second aspect of the present application provides a production operation control device for a warehousing lease scenario, including:

[0095] A data acquisition module 110, adapted to acquire warehousing operation data and establish a data view based on the warehousing operation data;

[0096] An operation process determination module 120, adapted to divide the role responsibilities and role permissions of warehousing operation personnel based on the data view, and determine an operation collaboration process based on the role responsibilities and role permissions;

[0097] An operation scheduling module 130, adapted to generate operation scheduling information based on the operation collaboration process and monitor the utilization rate of warehousing resources and the efficiency of warehousing operations in combination with the data view.

[0098] The production operation control device provided in the second aspect embodiment of the present application for the warehousing lease scenario can implement the production operation control method for the warehousing lease scenario in any of the above first aspect embodiments. Therefore, any technical effect in the above production operation control method for the warehousing lease scenario can be achieved, which will not be elaborated here.

[0099] The third aspect embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the production operation control method for the warehousing lease scenario in any of the above first aspect embodiments.

[0100] Figure 3 An entity structure diagram of an electronic device is exemplified, as Figure 3 shown. The electronic device may include: a processor 810, a communication interface 820, a memory 830, and a communication bus 840. Among them, the processor 810, the communication interface 820, and the memory 830 communicate with each other through the communication bus 840. The processor 810 can call the logical instructions in the memory 830 to execute the production operation control method for the warehousing lease scenario in any of the above first aspect embodiments. The method includes:

[0101] Step 100: Obtain warehousing operation data and establish a data view based on the warehousing operation data.

[0102] Step 200: Based on the data view, divide the role responsibilities and role permissions of warehousing operation personnel, and determine the operation collaboration process based on the role responsibilities and role permissions.

[0103] Step 300: Generate operation scheduling information based on the operation collaboration process, and monitor the utilization rate of warehousing resources and the efficiency of warehousing operations in combination with the data view.

[0104] In addition, when the logical instructions in the above-mentioned memory 830 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs.

[0105] On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the production operation control method for the warehousing and leasing scenario provided by the above-mentioned various methods. The method includes:

[0106] Step 100: Obtain warehousing operation data and establish a data view based on the warehousing operation data.

[0107] Step 200: Based on the data view, divide the role responsibilities and role permissions of warehousing operation personnel, and determine the operation collaboration process based on the role responsibilities and role permissions.

[0108] Step 300: Generate operation scheduling information based on the operation collaboration process, and combine with the data view to monitor the utilization rate of warehousing resources and the efficiency of warehousing operations.

[0109] On yet another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is implemented to execute the production operation control method for the warehousing and leasing scenario provided by the above-mentioned various methods. The method includes:

[0110] Step 100: Obtain warehousing operation data and establish a data view based on the warehousing operation data.

[0111] Step 200: Based on the data view, divide the role responsibilities and role permissions of warehousing operation personnel, and determine the operation collaboration process based on the role responsibilities and role permissions.

[0112] Step 300: Generate operation scheduling information based on the operation collaboration process, and combine with the data view to monitor the utilization rate of warehousing resources and the efficiency of warehousing operations.

[0113] Finally, the present invention also provides a non-volatile computer storage medium, on which computer-executable instructions are stored. When the computer program is executed by a processor, it implements a production operation control method for a warehousing lease scenario, and the method includes:

[0114] Step 100: Obtain warehousing operation data and establish a data view based on the warehousing operation data.

[0115] Step 200: Based on the data view, divide the role responsibilities and role permissions of warehousing operation personnel, and determine the operation collaboration process based on the role responsibilities and role permissions.

[0116] Step 300: Generate operation scheduling information based on the operation collaboration process, and monitor the utilization rate of warehousing resources and the efficiency of warehousing operations in combination with the data view.

[0117] What is not described in this application can be realized by adopting or referring to existing technologies.

[0118] Each embodiment in this specification is described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and the differences between each embodiment and other embodiments are emphasized.

[0119] The above are only the embodiments of the present application and are not used to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A production operation control method for a warehousing lease scenario, characterized in that, Including: Obtain warehousing operation data and establish a data view based on the warehousing operation data; Based on the data view, divide the role responsibilities and role permissions of warehousing operation personnel, and determine the operation collaboration process based on the role responsibilities and the role permissions; Based on the operation collaboration process, generate operation scheduling information, and in combination with the data view, monitor the utilization rate of warehousing resources and the efficiency of warehousing operations.

2. The production operation control method for the warehousing lease scenario according to claim 1, wherein The obtaining of the warehousing operation data and establishing a data view based on the warehousing operation data is specifically as follows: Real-time monitor and record the storage status of goods, environmental conditions, and the operation status of logistics equipment in the warehouse, and obtain the order processing status, goods inbound and outbound records, and inventory levels; Construct a unified data model based on the data view, and map the data in the unified data model to corresponding business entities.

3. The production operation control method for the warehousing lease scenario according to claim 2, wherein The constructing of the unified data model based on the data view and mapping the data in the unified data model to corresponding business entities is specifically as follows: Define that the business entities include goods, orders, inventory locations, and logistics equipment; Set association fields to connect the relationships between different business entities.

4. The production operation control method for the warehousing and leasing scenario according to claim 1, wherein The dividing of the role responsibilities and role permissions of warehousing operation personnel based on the data view and determining the operation collaboration process based on the role responsibilities and the role permissions is specifically as follows: Set the role permissions of the warehouse management party to include viewing inventory records, adjusting inventory locations, and updating goods status information, set the role permissions of the lessee to include viewing goods information, and set the role permissions of the logistics distribution party to include receiving distribution tasks and reporting the completion of operations.

5. The production operation control method for the warehousing lease scenario according to claim 4, characterized in that, The dividing of the role responsibilities and role permissions of warehousing operation personnel based on the data view and determining the operation collaboration process based on the role responsibilities and the role permissions further includes: When the inventory level is lower than a preset threshold, send a replenishment reminder to the warehouse management party; When the distribution time window is less than a preset time period, send a notice of accelerated processing to the logistics distribution party.

6. The production operation control method for the warehousing lease scenario according to claim 1, wherein The generating of operation scheduling information based on the operation collaboration process and monitoring the utilization rate of warehousing resources and the efficiency of warehousing operations in combination with the data view is specifically as follows: Determine the operation priority and operation urgency in the operation scheduling information, and generate a distribution path based on the operation priority and the operation urgency; Based on the distribution path, allocate logistics equipment and human resources, and identify conflict points on the distribution path based on the data view; Perform secondary planning on the distribution path based on the conflict points.

7. The production operation control method for the warehousing lease scenario according to claim 6, wherein The generating of operation scheduling information based on the operation collaboration process and monitoring the utilization rate of warehousing resources and the efficiency of warehousing operations in combination with the data view further includes: Monitor the location, operation load, and health status of the logistics equipment through the data view; Formulate a preventive maintenance strategy based on the data analysis results of the health status of the logistics equipment.

8. The production operation control method for the warehousing lease scenario according to claim 1, characterized in that The method further includes: Based on historical data and real-time data views, use machine learning algorithms to construct a prediction model to predict future workloads, inventory requirements, and equipment maintenance cycles.

9. A production operation control device for a warehousing lease scenario, characterized in that, Including: A data acquisition module, suitable for obtaining warehousing operation data and establishing a data view based on the warehousing operation data; The operation process determination module is adapted to divide the role responsibilities and role permissions of warehouse operation personnel based on the data view, and determine the operation collaboration process based on the role responsibilities and the role permissions; The operation scheduling module is adapted to generate operation scheduling information based on the operation collaboration process, and monitor the utilization rate of warehouse resources and the efficiency of warehouse operations in combination with the data view.

10. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the production operation control method for the warehouse leasing scenario as described in any one of claims 1 to 8.

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