Supply chain integration-based hierarchical collaborative management and control early warning method, apparatus and device, and medium

Abstract

The invention discloses a hierarchical collaborative management and control early warning method, device and equipment based on supply chain integration and a medium, and relates to the technical field of supply chain collaborative management and control, and the method comprises the following steps: monitoring and collecting the inventory data and contract performance data of a supply chain in real time; acquiring purchase data of the supply chain, establishing a data analysis model based on machine learning in combination with inventory data and demand data, and generating an early warning evaluation coefficient; comparing and analyzing the early warning evaluation coefficient with a preset early warning evaluation threshold value, judging an early warning level, and sending out an early warning prompt; the supply chain sending the advanced early warning is maintained in time, secondary evaluation is carried out on the maintained supply chain, and secondary maintenance is carried out according to an evaluation result; complex supply chain changes can be responded, and the response capability of the supply chain is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of supply chain collaborative management and control, and more specifically, to a hierarchical collaborative management and control early warning method, device, equipment and medium based on supply chain integration. Background Art

[0002] The State Grid supply chain involves all links in the entire process from power generation to power consumption. State Grid Corporation of China is responsible for the transmission and distribution of electricity. State Grid Corporation of China has built multiple monitoring and analysis function points around the entire business link of the material supply chain, providing comprehensive statistical analysis services for material supply management, which to a certain extent supports the effective implementation of supply chain operations. With the in-depth construction of green modern digital supply chain, supply chain operations, as a high-end think tank for material professionals, face higher quality requirements for related work. There are still many problems or room for improvement in the current informatization construction.

[0003] Deficiencies of existing technologies: In supply chain management, collaborative control and early warning systems are crucial. The traditional supply chain control method's early warning is not accurate enough, which has affected the efficiency and responsiveness of the supply chain. The present invention is based on hierarchical collaborative control of supply chain integration to perform hierarchical early warning on the supply chain, which can respond to complex supply chain changes and improve the responsiveness of the supply chain.

[0004] In view of the above problems, the present invention proposes a solution. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide a hierarchical collaborative management and early warning method, device, equipment and medium based on supply chain integration, and solve the problem of hierarchical early warning for the supply chain raised in the above-mentioned background technology through the hierarchical collaborative management and early warning method, device, equipment and medium based on supply chain integration.

[0006] To achieve the above object, the present invention provides the following technical solutions: The hierarchical collaborative management and early warning method based on supply chain integration includes the following steps: real-time monitoring and collection of supply chain inventory data and contract fulfillment data; obtaining supply chain procurement data, combining inventory data and contract fulfillment data to establish a data analysis model based on machine learning, and generating an early warning evaluation coefficient; comparing and analyzing the early warning evaluation coefficient with a pre-set early warning evaluation threshold based on the early warning, determining the early warning level, and issuing an early warning prompt; timely maintaining the supply chain that has issued a high-level warning, conducting a secondary evaluation of the supply chain after maintenance, and performing secondary maintenance based on the evaluation results.

[0007] In a preferred embodiment, the inventory data includes an inventory management efficiency index, the contract fulfillment data includes a delivery compliance rate, and the procurement data includes a comprehensive procurement efficiency.

[0008] In a preferred embodiment, the specific steps of comparing and analyzing the warning evaluation coefficient with the pre-set warning evaluation threshold according to the warning, judging the warning level, and issuing a warning prompt are as follows: when the warning evaluation coefficient is less than the first warning evaluation threshold, there is no need to issue a warning for the supply chain; when the warning evaluation coefficient is greater than the first warning evaluation threshold and less than the second warning evaluation threshold, it is necessary to issue a low-level warning for the supply chain; when the warning evaluation coefficient is greater than the second warning evaluation threshold, it is necessary to issue a high-level warning for the supply chain.

[0009] In a preferred embodiment, the supply chain that issues a high-level warning is maintained in a timely manner, and a secondary evaluation is performed on the supply chain after maintenance. The specific steps for performing secondary maintenance based on the evaluation results are as follows: performing maintenance work on the supply chain that issues a high-level warning prompt; performing a secondary evaluation on the supply chain after maintenance, and calculating the warning evaluation coefficient of the supply chain after maintenance; when the warning evaluation coefficient is greater than the second warning evaluation threshold, performing secondary maintenance on the supply chain after maintenance.

[0010] In a preferred embodiment, the specific method for obtaining the inventory management efficiency index is as follows: Obtain the beginning inventory and ending inventory within a preset time period, subtract the beginning inventory from the ending inventory to obtain the actual inventory consumption; calculate the average of the beginning inventory and the ending inventory to obtain the average inventory; use the ratio of inventory consumption to the average inventory as the inventory turnover rate; obtain the inventory holding cost, which includes warehousing cost, insurance cost, capital cost, and loss cost; and obtain the inventory management efficiency index by combining the beginning inventory, ending inventory, inventory turnover rate, and unit inventory holding cost.

[0011] In a preferred embodiment, the specific method for obtaining the delivery compliance rate is as follows: Obtain the total number of orders received within the preset period and the number of orders delivered on time, as well as the delivery time and receipt time of the delivered orders, and take the difference between the delivery time and the receipt time as the order processing time; take the difference between the total number of orders received within the preset period and the number of orders delivered on time as the order out-of-stock number, and combine it with the total order number to obtain the order out-of-stock rate; calculate the sum of the processing time of each delivery order, and take the ratio of the sum of the processing time to the number of orders delivered on time as the order fulfillment cycle; take the ratio of the number of orders delivered on time to the total number of orders as the order fulfillment rate, and multiply the order fulfillment rate and the order fulfillment cycle to obtain the delivery compliance rate.

[0012] Any device of the hierarchical collaborative management and early warning method based on supply chain integration described in any one of the above comprises a collection module, an analysis module, an evaluation module and an early warning module, and there is a connection between the modules: the collection module: real-time monitoring and collection of inventory data and contract fulfillment data of the supply chain; the analysis module: obtaining the procurement data of the supply chain, combining the inventory data and demand data to establish a data analysis model based on machine learning, and generating an early warning evaluation coefficient; the evaluation module: comparing and analyzing the early warning evaluation coefficient with the pre-set early warning evaluation threshold according to the early warning, judging the early warning level, and issuing an early warning prompt; the early warning module: timely maintaining the supply chain that issues a high-level early warning, conducting a secondary evaluation of the supply chain after maintenance, and conducting secondary maintenance according to the evaluation results.

[0013] An electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the hierarchical collaborative management and early warning method based on supply chain integration provided in an embodiment of the present invention.

[0014] A computer-readable storage medium stores a computer program, characterized in that when the computer program is executed by a processor, it implements the hierarchical collaborative management and early warning method based on supply chain integration provided by an embodiment of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a structural schematic diagram of the hierarchical collaborative management and early warning method based on supply chain integration of the present invention.

[0016] Figure 2 It is a schematic diagram of the structure of the hierarchical collaborative management and early warning device based on supply chain integration of the present invention.

[0017] Figure 3 It is a schematic diagram of the structure of the hierarchical collaborative management and early warning device based on supply chain integration of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Embodiment 1, Figure 1 The present invention provides a hierarchical collaborative management and early warning method based on supply chain integration.

[0020] S10, real-time monitoring and collection of supply chain inventory data and contract fulfillment data; The inventory data includes an inventory management effectiveness index; The specific method for obtaining the inventory management efficiency index is as follows: Get the beginning inventory and ending inventory within the preset time period, subtract the beginning inventory from the ending inventory to get the actual inventory consumption; calculate the average of the beginning inventory and the ending inventory to get the average inventory; The ratio of inventory consumption to average inventory is taken as inventory turnover ratio; Obtaining inventory holding costs, which include storage costs, insurance costs, capital costs, and loss costs; The inventory management effectiveness index is obtained by integrating the beginning inventory, ending inventory, inventory turnover rate, and unit inventory holding cost; The specific calculation formula of the inventory management efficiency index is as follows:

[0021] In the formula, is the inventory management effectiveness index, is the average inventory, is the beginning inventory, is the ending inventory, is the storage cost, is the insurance cost, is the capital cost, is the capital cost, is the beginning inventory weight, is the ending inventory weight, is the inventory turnover weight, is the inventory holding cost weight, , , , All are greater than 0; The calculation formula for average inventory is as follows:

[0022] In the formula, is the average inventory, is the beginning inventory, is the ending inventory; It should be noted that the inventory management efficiency index can measure the frequency of inventory being sold and replaced within a certain period of time. A high inventory management efficiency index means that inventory liquidity is high, meaning that the company is able to sell inventory faster, while a low inventory management efficiency index indicates low inventory liquidity; The acquisition and analysis of the inventory management efficiency index plays an important role in the management of the supply chain in many aspects. The following are the main functions and significance of the inventory management efficiency index: Evaluate inventory management efficiency: The inventory management efficiency index measures inventory liquidity, that is, the speed of inventory sales and replacement. A higher turnover rate usually means that inventory management is good and inventory can be converted into sales faster. By analyzing the inventory management efficiency index, companies can identify whether there is an overstock or understock problem and take measures to adjust inventory levels. Optimizing inventory levels: A high inventory management efficiency index indicates that inventory turnover is fast, and companies can reduce inventory holding costs, including storage costs, insurance costs, and obsolescence risks. Converting inventory into sales means faster cash flow, which helps companies use funds more effectively for other investments or operating activities; Support decision-making: Understanding the inventory management efficiency index can help companies develop reasonable purchasing plans, avoid over-purchasing or under-purchasing, and thus maintain appropriate inventory levels. By analyzing inventory turnover, companies can adjust product pricing strategies and deal with slow-moving inventory through promotions or price cuts; Improve customer satisfaction: High turnover rate helps keep inventory updated in real time, ensuring that customers can get the goods they need, improving customer satisfaction. Optimizing inventory levels can reduce order processing time and delivery delays, and enhance customer experience. Improve financial health: A high inventory management efficiency index means faster inventory turnover and sales, which can improve the company's cash flow and reduce capital occupation. By reducing inventory holding costs and increasing sales, the company's overall profitability can be improved; Risk management: The inventory management efficiency index can help identify potential inventory backlog risks and take measures in advance to reduce losses. High turnover rate enables enterprises to respond more flexibly to changes in market demand and reduce inventory risks caused by declining market demand; Promoting business improvement: By regularly monitoring and analyzing the inventory management efficiency index, enterprises can discover and improve inefficient links in business processes and improve overall operational efficiency. The analysis of the inventory management efficiency index can reveal problem points in the supply chain, promote supply chain optimization, and improve the overall supply chain management level; The contract performance data includes delivery compliance rate; The specific method for obtaining the delivery compliance rate is as follows: Obtain the total number of orders received within a preset period and the number of orders delivered on time, as well as the delivery time and receipt time of the delivered orders, and use the difference between the delivery time and the receipt time as the order processing time; The difference between the total number of orders received within the preset period and the number of orders delivered on time is taken as the order out-of-stock quantity, and the order out-of-stock rate is obtained by combining the total order quantity; Calculate the sum of processing time for each delivery order, and use the ratio of the sum of processing time to the number of orders delivered on time as the order fulfillment cycle; The ratio of the number of orders delivered on time to the total number of orders is taken as the order fulfillment rate, and the delivery compliance rate is obtained by multiplying the order fulfillment rate and the order fulfillment cycle; The specific calculation formula for delivery compliance rate is as follows:

[0023] In the formula, is the delivery compliance rate, is the number of orders delivered on time, is the total order quantity, is the order processing time, where j = , m is the total number of orders; The calculation formula for order processing time is as follows:

[0024] In the formula, is the order processing time, is the delivery time for the delivery order, is the time the delivery order was received; It should be noted that a higher delivery compliance rate means a smoother and more timely process from order receipt to delivery, and higher customer satisfaction. Specifically, high fulfillment efficiency can reduce inventory backlogs and out-of-stock situations, reduce operating costs, improve the overall responsiveness and flexibility of the supply chain, and enhance trust and coordination among supply chain partners. The delivery compliance rate has an important impact on the supply chain early warning system. Changes in the delivery compliance rate can serve as early warning signals for potential supply chain problems, helping companies to identify and solve problems in a timely manner. The following are the specific impacts of the delivery compliance rate on supply chain early warning: Timely detection of supply chain bottlenecks: When the delivery compliance rate drops, it may indicate that there are bottlenecks or interruptions in the supply chain. By monitoring changes in fulfillment efficiency, the weakest links in the supply chain can be identified, allowing targeted improvements to be made. Early warning of inventory problems: Low fulfillment efficiency may lead to inventory backlogs, especially in the case of overproduction or wrong demand expectations. The backlog of inventory not only occupies funds, but may also lead to obsolescence or expiration problems. Conversely, low fulfillment efficiency may also lead to inventory shortages, failure to meet customer needs, affecting customer satisfaction and sales opportunities; Adjust production and procurement plans: Changes in delivery compliance rates can affect production plans. Low fulfillment efficiency may indicate problems with demand forecasting. Companies can adjust procurement plans based on fulfillment efficiency data to ensure that they are consistent with actual demand. Customer service and satisfaction: Delivery compliance rate directly affects the customer's delivery experience and satisfaction. Low fulfillment efficiency may lead to delivery delays, affecting customer satisfaction and loyalty. Timely warnings can help companies take measures to improve customer service. Low fulfillment efficiency may lead to an increase in customer complaints. Through the early warning system, companies can identify potential customer service issues early and intervene; S20, obtain the procurement data of the supply chain, combine the inventory data and demand data to establish a data analysis model based on machine learning, and generate an early warning evaluation coefficient; The procurement data includes comprehensive procurement efficiency, wherein the specific method for obtaining the comprehensive procurement efficiency is as follows: First, obtain the purchase quantity, unit price, and other costs of the purchased products, multiply the purchase quantity and unit price, and add other costs to get the purchase cost; Obtain the actual volume of the purchased product and the total volume of the purchase container, divide the actual volume of the product by the total volume of the purchase container to calculate the packaging matching degree; combine the purchase cost to obtain the comprehensive purchase efficiency; The specific calculation formula for comprehensive procurement efficiency is as follows:

[0025] It is the comprehensive procurement efficiency. is the purchase price, is the purchase quantity, It's other expenses. is the actual volume of the purchased product, is the total volume of the purchased container; It should be noted that the increase in comprehensive purchasing efficiency directly reduces the company's profits. If the comprehensive purchasing efficiency increases but the sales price is not adjusted accordingly, the company's profitability will be compressed; The role of obtaining comprehensive procurement efficiency of the supply chain: Impact on supply chain management: The increase in comprehensive procurement efficiency may lead enterprises to adjust their inventory strategies. For example, in order to reduce the high comprehensive procurement efficiency, enterprises may choose to reduce inventory or change the ordering frequency. Supply chain optimization: Companies may re-evaluate their supply chain strategies, look for lower-cost procurement options, optimize procurement routes or choose different carriers to reduce the burden of comprehensive procurement efficiency; Impact on customers: Increased comprehensive procurement efficiency may lead to higher product prices, which in turn affects customers’ purchasing decisions and consumption willingness. In order to reduce comprehensive procurement efficiency, companies may reduce service quality or extend delivery time, which may affect customer satisfaction and loyalty; Impact on market competition: Increased comprehensive procurement efficiency may reduce the competitiveness of enterprises in the market, especially for those companies that mainly rely on low-price strategies. If competitors can control costs, they may attract more customers. If an enterprise cannot effectively manage comprehensive procurement efficiency, it may lose market share, especially in highly competitive industries; Impact on operational efficiency: High overall procurement efficiency may put pressure on the operation of enterprises, requiring more refined management and cost control measures, which may require enterprises to invest more resources to optimize the procurement process and find opportunities for cost reduction. Enterprises may need to invest in advanced logistics technology and data analysis tools to improve procurement efficiency and reduce costs, such as procurement management systems and automated warehousing systems; Combining inventory data and demand data to establish a data analysis model based on machine learning, the specific calculation formula for generating the early warning evaluation coefficient is as follows:

[0026] In the formula, is the early warning assessment coefficient, is the inventory management effectiveness index, is the delivery compliance rate, It is the overall procurement efficiency; S30, comparing and analyzing the early warning assessment coefficient with the pre-set early warning assessment threshold, determining the early warning level, and issuing an early warning prompt; Preset a first warning assessment threshold and a second warning assessment threshold, and ensure that the first warning assessment threshold is less than the second warning assessment threshold; When the early warning evaluation coefficient is less than the first early warning evaluation threshold, there is no need to issue an early warning for the supply chain; When the early warning evaluation coefficient is greater than the first early warning evaluation threshold and less than the second early warning evaluation threshold, a low-level early warning needs to be issued for the supply chain; For low-level warning information that is not urgent or important, a contact form can be issued for processing. The contact form does not require feedback and is mainly used for reminders; When the early warning evaluation coefficient is greater than the second early warning evaluation threshold, it is necessary to issue an advanced early warning to the supply chain; For urgent and important advanced warning information, a warning form can be issued for processing. The warning form has a time limit and must be processed within the required feedback time; Comparing and analyzing the early warning assessment coefficient with the pre-set early warning assessment threshold, determining the early warning level, and issuing early warning prompts has the following benefits: Timely identification of potential risks: By comparing the assessment coefficient with the threshold, potential risks can be identified before the severity of the problem reaches a critical point, so that measures can be taken in advance to avoid the expansion of risks. Clear warning levels help to more accurately identify and classify risks, ensuring that risks are properly valued and handled; Optimize resource allocation: According to the warning level, high-risk situations can be dealt with first, resources can be allocated reasonably, key issues can be solved in a timely manner, and excessive resources can be avoided from being wasted on low-risk issues. Resources can be concentrated where they are most needed, thus improving resource utilization efficiency; Enhanced response capabilities: Early warning alerts can prompt relevant departments or teams to take prompt action, shortening reaction time and thus more effectively responding to uncertainties in the supply chain. Early warning systems can promote cross-departmental collaboration, ensuring that all relevant personnel understand the current risk situation and take consistent actions; Improve decision-making quality: The comparison between the early warning assessment coefficient and the threshold provides a data-based decision-making basis, which helps to make scientific and accurate decisions and helps management understand the severity and potential impact of risks, so as to formulate more reasonable risk management strategies; Reduce the impact of risks: Timely early warning alerts can reduce the escalation of problems and reduce the impact of potential risks on the supply chain; by identifying risks early, preventive measures can be taken to avoid problems from developing into more serious situations, thereby reducing losses.

[0027] Continuous improvement: By analyzing the situation after the early warning and evaluating the effectiveness of maintenance measures, it is helpful to discover and improve deficiencies. According to the early warning prompts and evaluation results, the supply chain management process is continuously adjusted and optimized to improve the overall operational efficiency; S40: timely maintain the supply chain that issues advanced warning alerts, conduct secondary evaluation of the maintained supply chain, and perform secondary maintenance based on the evaluation results; First, the supply chain that issues the advanced warning alert is maintained, and then the warning evaluation coefficient of the supply chain after maintenance is calculated; When the early warning evaluation coefficient is greater than the second early warning evaluation threshold, the maintained supply chain is subjected to secondary maintenance; The supply chain that issues advanced warning prompts is maintained in a timely manner, and the supply chain after maintenance is re-evaluated. The functions of the secondary maintenance based on the evaluation results are as follows: Timely maintenance of supply chains that issue advanced warning alerts can avoid potential risks and problems from expanding, thereby ensuring the stability and reliability of the supply chain; Secondary evaluation after maintenance helps to verify the effectiveness of the initial maintenance measures and ensure that the problem is completely resolved. Secondary maintenance based on the evaluation results can further optimize supply chain management, reduce possible problems in the future, and improve the overall performance and resilience of the supply chain.

[0028] like Figure 2 As shown, it is a schematic diagram of the structure of a hierarchical collaborative management and early warning device based on supply chain integration. The hierarchical collaborative management and early warning device based on supply chain integration may include a collection module, an analysis module, an evaluation module, and an early warning module, and there is a connection between the modules: the collection module: real-time monitoring and collection of inventory data and contract performance data of the supply chain; the analysis module: obtaining the procurement data of the supply chain, combining the inventory data and demand data to establish a data analysis model based on machine learning, and generating an early warning evaluation coefficient; the evaluation module: comparing and analyzing the early warning evaluation coefficient with the pre-set early warning evaluation threshold according to the early warning, judging the early warning level, and issuing an early warning prompt; the early warning module: timely maintenance of the supply chain that issues a high-level early warning, secondary evaluation of the supply chain after maintenance, and secondary maintenance according to the evaluation results.

[0029] Figure 3 It is a schematic diagram of the structure of the hierarchical collaborative management and early warning device based on supply chain integration of the present invention.

[0030] An electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the hierarchical collaborative management and early warning method based on supply chain integration provided by the present invention.

[0031] A computer-readable storage medium stores a computer program, characterized in that when the computer program is executed by a processor, it implements the hierarchical collaborative management and early warning method based on supply chain integration provided by the present invention.

[0032] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0033] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0034] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0035] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0036] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0037] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A hierarchical collaborative management and early warning method based on supply chain integration is characterized by: The following steps are involved: Real-time monitoring and collection of supply chain inventory data and contract fulfillment data; Obtain procurement data from the supply chain, combine inventory data and contract fulfillment data to establish a data analysis model based on machine learning, and generate early warning evaluation coefficients; Compare and analyze the early warning assessment coefficient with the pre-set early warning assessment threshold, determine the early warning level, and issue an early warning prompt; Carry out timely maintenance on the supply chain that has issued a high-level warning, conduct a secondary assessment of the maintained supply chain, and perform secondary maintenance based on the assessment results.

2. The hierarchical collaborative management and early warning method based on supply chain integration according to claim 1 is characterized in that: The inventory data includes an inventory management efficiency index, the contract fulfillment data includes a delivery compliance rate, and the procurement data includes comprehensive procurement efficiency.

3. The hierarchical collaborative management and early warning method based on supply chain integration according to claim 1 is characterized in that: The specific steps of comparing and analyzing the warning evaluation coefficient with the pre-set warning evaluation threshold according to the warning, judging the warning level, and issuing the warning prompt are as follows: When the early warning evaluation coefficient is less than the first early warning evaluation threshold, there is no need to issue an early warning for the supply chain; When the early warning evaluation coefficient is greater than the first early warning evaluation threshold and less than the second early warning evaluation threshold, a low-level early warning needs to be issued for the supply chain; When the early warning evaluation coefficient is greater than the second early warning evaluation threshold, an advanced early warning needs to be issued for the supply chain.

4. The hierarchical collaborative management and early warning method based on supply chain integration according to claim 1 is characterized in that: The specific steps of timely maintaining the supply chain that issues the advanced warning and conducting a secondary evaluation on the maintained supply chain and performing secondary maintenance based on the evaluation results are as follows: Perform maintenance work on the supply chain that issues advanced warning alerts; Conduct a secondary assessment of the supply chain after maintenance and calculate the early warning assessment coefficient of the supply chain after maintenance; When the early warning evaluation coefficient is greater than the second early warning evaluation threshold, secondary maintenance is performed on the maintained supply chain.

5. The hierarchical collaborative management and early warning method based on supply chain integration according to claim 2 is characterized in that: The specific method for obtaining the inventory management efficiency index is as follows: Get the beginning inventory and ending inventory within the preset time period, and subtract the beginning inventory from the ending inventory to get the actual inventory consumption; Calculate the average of the beginning inventory and the ending inventory to get the average inventory; The ratio of inventory consumption to average inventory is taken as inventory turnover ratio; Obtaining inventory holding costs, which include storage costs, insurance costs, capital costs, and loss costs; The inventory management effectiveness index is obtained by integrating the beginning inventory, ending inventory, inventory turnover rate, and unit inventory holding cost; The specific calculation formula of the inventory management efficiency index is as follows: In the formula, is the inventory management effectiveness index, is the average inventory, is the beginning inventory, is the ending inventory, is the storage cost, is the insurance cost, is the capital cost, is the loss cost, is the beginning inventory weight, is the ending inventory weight, is the inventory turnover weight, is the inventory holding cost weight, , , , Both are greater than 0.

6. The hierarchical collaborative management and early warning method based on supply chain integration according to claim 2 is characterized in that: The specific method for obtaining the delivery compliance rate is as follows: Obtain the total number of orders received within a preset period and the number of orders delivered on time, as well as the delivery time and receipt time of the delivered orders, and use the difference between the delivery time and the receipt time as the order processing time; The difference between the total number of orders received within the preset period and the number of orders delivered on time is taken as the order out-of-stock quantity, and the order out-of-stock rate is obtained by combining the total order quantity; Calculate the sum of processing time for each delivery order, and use the ratio of the sum of processing time to the number of orders delivered on time as the order fulfillment cycle; The ratio of the number of orders delivered on time to the total number of orders is taken as the order fulfillment rate, and the delivery compliance rate is obtained by multiplying the order fulfillment rate and the order fulfillment cycle; The specific calculation formula for delivery compliance rate is as follows: In the formula, is the delivery compliance rate, is the number of orders delivered on time, is the total order quantity, is the order processing time, where j = , m is the total number of orders.

7. The hierarchical collaborative management and early warning method based on supply chain integration according to claim 1 is characterized in that: The specific calculation formula of the early warning evaluation coefficient is as follows: In the formula, is the early warning assessment coefficient, is the inventory management effectiveness index, is the delivery compliance rate, It is the comprehensive procurement efficiency.

8. The device of the hierarchical collaborative management and early warning method based on supply chain integration according to claim 1 is characterized in that: It includes collection module, analysis module, evaluation module and early warning module. There are connections between modules: Collection module: real-time monitoring and collection of supply chain inventory data and contract fulfillment data; Analysis module: Obtain procurement data from the supply chain, combine inventory data and contract fulfillment data to establish a data analysis model based on machine learning, and generate early warning evaluation coefficients; Evaluation module: According to the warning, the warning evaluation coefficient is compared and analyzed with the pre-set warning evaluation threshold, the warning level is determined, and a warning prompt is issued; Early warning module: timely maintain the supply chain that issues advanced warnings, conduct secondary evaluation of the maintained supply chain, and perform secondary maintenance based on the evaluation results.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, The computer program is executed by the at least one processor, So that the at least one processor can execute the hierarchical collaborative management and early warning method based on supply chain integration as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by the processor, it implements the hierarchical collaborative management and early warning method based on supply chain integration as described in any one of claims 1 to 7.

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