Product service system based on network security

By establishing product service terminals in the warehousing and logistics system for personalized demand forecasting and security evaluation, and optimizing the allocation of warehousing resources, the problems of uncertainty in warehousing demand and low operational efficiency are solved, and more efficient warehousing services and competitiveness are achieved.

CN119106990AInactive Publication Date: 2024-12-10QINGDAO QIHUITONG NETWORK TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202410995227.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-07-24
Publication Date
2024-12-10
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing warehousing and logistics systems have high uncertainty in warehousing demand and insufficient forecasting, resulting in insufficient warehousing resources, low operational efficiency, and lack of competitive customized product services.

Method used

Design a product and service system based on network security. By establishing warehousing product terminals and product service terminals, conducting user personalized demand forecasts, centralized procurement, dynamic storage and JIT distribution, selecting the optimal distribution path, and identifying it using the security evaluation index system. Risk, optimize warehousing resource allocation and service processes.

Benefits of technology

It improves the efficiency of warehousing services and personalized product and service satisfaction, improves the competitiveness and operational efficiency of the system, and optimizes the allocation of warehousing resources.

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Abstract

The invention discloses a product service method based on network security, and the method comprises the following steps: 1, a warehousing system builds a warehousing product terminal and a product service terminal, and carries out the personalized product demand prediction service of a user through the product service terminal; 2, the warehousing product terminal carries out large-scale logistics resource product allocation analysis in main service forms of centralized purchase, dynamic storage and JIT distribution; step 3, the system storage product terminal performs cooperation mode selection and execution of the service according to the information registered by the client and the service demand published by the client; step 4, the product service terminal performs optimal selection of a distribution path of the product distribution service according to a distribution unit in the storage product terminal; and 5, performing safety identification on the warehousing product distribution service by using the warehousing product service safety evaluation index system. The method has the characteristics of improving the service demand competitiveness of personalized products and improving the service benefits.
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Description

Technical Field

[0001] The present invention relates to the technical field of product service management, and in particular to a product service system based on network security. Background Art

[0002] Third-party warehouses have the capabilities of warehousing, loading and unloading, circulation and processing. For third-party warehouses, other functions besides warehousing can improve service capabilities by increasing variable costs, and the maximum limitation of warehouse space resources determines warehouse revenue. Warehousing accompanies the entire process of supply chain activities such as raw material supply, product production and product sales. Efficient and professional warehousing services play a decisive role in enterprise production efficiency. The existing warehousing and logistics meet most customer needs, but there is still a high uncertainty in the storage demand of third-party warehouses and insufficient forecasting of warehouse storage demand, resulting in insufficient warehouse space resources and low operating efficiency. The service capabilities and needs of warehousing and logistics have not been efficiently and rationally configured, and the customized product services provided to customers lack competitiveness. Therefore, it is necessary to design a product service system based on network security to improve the competitiveness of personalized product service needs and improve service benefits. Summary of the invention

[0003] The purpose of the present invention is to provide a product service system based on network security to solve the problems raised in the above background technology.

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: a product service method based on network security, comprising the following steps: Step 1: The warehouse system establishes warehouse product terminals and product service terminals, and uses the product service terminals to provide personalized product demand forecasting services for users; Step 2: The warehouse product terminal conducts a wide range of logistics resource product allocation analysis in the form of centralized procurement, dynamic storage and JIT distribution; Step 3: The system warehouse product terminal selects and executes the service cooperation model based on the customer's registered information and the service requirements published by the customer; Step 4: The product service terminal selects the optimal distribution path for the product distribution service according to the distribution unit in the warehouse product terminal; Step 5: Use the warehouse product service safety evaluation index system to identify the safety of warehouse product distribution services.

[0005] According to the above technical solution, the step of using the product service terminal to provide a personalized product demand forecasting service for users includes: Warehousing enterprises forecast the demand for spare parts for all service terminal production lines they serve; Calculate based on the material requirements of the order; Use similarity methods to predict and analyze the spare parts in the warehouse, model and calculate the number of spare parts required for each cycle, and calculate the optimal spare parts order quantity within the cycle; At the same time, the manufacturer's orders and master production plans are analyzed, and the bill of materials for each product manufactured is determined, and the specific required quantity and time of the various raw materials required for the production line are calculated; The product service terminal is set up with multiple downstream demand points according to the user's demand for storage space rental in the storage area; According to the known demand of each demand point, the product service terminal sets up corresponding warehouses in the area to meet the customer's storage needs. When each downstream demand point can only have one warehouse responsible for providing goods, each warehouse can be set up to provide goods to multiple downstream demand points at the same time; Based on the storage space rental fees, transportation distance, and transportation rate factors corresponding to user needs, the total cost of different storage resource selection options is calculated, and the warehouse resource option with the lowest total cost is selected.

[0006] According to the above technical solution, the steps of performing large-scale logistics resource product allocation analysis include: In the warehousing product terminal, manufacturers, suppliers and customers are connected through the warehousing product service information sharing unit, so that information sharing of warehousing management can be realized between upstream and downstream manufacturers and suppliers. According to the changes in customers' demand for warehousing product services, manufacturers and suppliers make real-time adjustments to warehousing product services. Upstream manufacturers obtain market demand information through the information sharing unit, and downstream suppliers adjust the production plan of service products according to the shared order information in the information sharing unit.

[0007] According to the above technical solution, the steps of selecting and executing the cooperation mode for the service include: The system storage product terminal makes corresponding warehousing requests according to the customer's orders received by the storage and distribution unit and the customer's requirements, allocates the corresponding warehouse area to the goods to be stored according to the goods type and generates a warehousing order according to the customer's order status; Utilize the warehousing and distribution units in the system to make distribution choices based on the corresponding order status and inventory conditions.

[0008] According to the above technical solution, the step of optimally selecting the delivery path for the product delivery service includes: Based on the existing warehousing center database, corporate customers who need delivery in the system are obtained, all customer companies are numbered, the location coordinate information of the warehousing and the demand of supply and demand manufacturers and customers are determined, and the time window is set according to the experience data of delivery. When the geographical location and distance information of the warehousing and delivery customers are known, and the supply and demand requirements and service time periods of each customer are known, the set time window conditions are used to output the timely two-way supply and demand delivery service that needs to be provided.

[0009] According to the above technical solution, the step of performing security identification includes: Construct a set of security factors for warehousing product services; Determine indicators based on the service model and stage of the warehousing system; Construct network layer element indicators and storage product service security element groups at product service terminals; Construct the warehousing product service safety evaluation sub-element; Set importance scales for each storage product service safety indicator element and process the collected evaluation information data in batches; Construct a supermatrix and a weighted matrix to obtain a limit supermatrix, and compare the safety elements in the evaluation index pairwise using the importance scale; Whiten the safety evaluation data of the day under the warehousing product service model, and output the safety factors in order of importance based on the final evaluation data.

[0010] According to the above technical solution, the product service system includes: Warehouse system terminal module, used for multi-operation terminals established by the system based on warehouse product services; The warehousing product service analysis module is used for the system to analyze and select warehousing product service models based on the client's multiple needs; The safety factor identification module is used to systematically identify various safety indicator factors at different stages of the warehousing product service process.

[0011] According to the above technical solution, the storage system terminal module includes: Warehouse product terminal, used for large-scale logistics resource product allocation analysis; Product service terminal, used to execute demand services based on customer registered information and service requirements published by customers; The product demand forecasting service module is used for product service terminals to provide personalized product demand forecasting services to users.

[0012] According to the above technical solution, the warehousing product service analysis module includes: The main service form module is used for the warehouse product terminal to operate in the main service form of centralized procurement, dynamic storage and JIT distribution; The information sharing unit module is used for manufacturers, suppliers and customers in the storage product terminal to share information through the storage product service information sharing unit; A service cooperation mode selection module is used to select and execute the service cooperation mode according to service requirements; The delivery selection module is used by the warehouse and delivery unit to make delivery selections according to the corresponding order status and inventory status; The distribution path optimization module is used by the product service terminal to make the optimal selection of the distribution path for product distribution services based on the distribution units in the warehouse product terminal.

[0013] According to the above technical solution, the security factor identification module includes: The safety evaluation index system module is used to identify the safety of warehouse product distribution services using the warehouse product service safety evaluation index system; A safety index determination module is used to determine the index according to the service mode and stage of the warehousing system; The importance output module is used to output the importance ranking of safety factors based on the final evaluation data.

[0014] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, by establishing a warehousing product terminal and a product service terminal, utilizes the product service terminal to provide personalized product demand forecasting services for users; the dissolution warehousing product terminal performs a large-scale logistics resource product allocation analysis in the main service forms of centralized procurement, dynamic storage and JIT distribution; the warehousing product terminal selects and executes the service cooperation model according to the customer registration information and the service needs published by the customer; the product service terminal then performs the optimal selection of the distribution path for the product distribution service according to the distribution unit in the warehousing product terminal; finally, the warehousing product service safety evaluation index system is used to perform security identification of the warehousing product distribution service, thereby improving the service efficiency of the existing warehousing product service system while also improving the satisfaction degree of each enterprise in the system for personalized product service needs, thereby enhancing the competitiveness of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 A flowchart of a product service method based on network security provided in the first embodiment of the present invention; Figure 2 A schematic diagram of the module composition of a network security-based product service system provided in Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0016] 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.

[0017] Embodiment 1: Figure 1 This is a flowchart of a product service method based on network security provided in the first embodiment of the present invention. This embodiment can be applied to the scenario of third-party warehousing product services. This method can be executed by a product service system based on network security provided in this embodiment, such as Figure 1 As shown, the method specifically comprises the following steps: Step 1: The warehouse system establishes warehouse product terminals and product service terminals, and uses the product service terminals to provide personalized product demand forecasting services for users; In an embodiment of the present invention, a warehousing enterprise predicts the demand for spare parts of all service terminal production lines it serves, and calculates the material demand based on the order, that is, the product service terminal sets up multiple downstream demand points based on the user's demand for storage space rental in the storage area. According to the known demand of each demand point, the product service terminal sets up a corresponding warehouse that meets the customer's storage space demand in the area. When each downstream demand point can only have one warehouse responsible for providing goods, each warehouse is set to provide goods to multiple downstream demand points at the same time. The total cost of different storage resource selection schemes is calculated based on the storage space rental fee, transportation distance, and transportation rate factors corresponding to the user's demand, and the warehouse resource scheme with the smallest total cost is selected, so that the storage volume of spare parts and raw materials purchased and stored in the shared warehouse meets the user's demand, reduces the storage cost of the shared warehouse, and provides data support for the company's just-in-time production. Exemplarily, a similarity method is used to conduct a predictive analysis on warehouse spare parts, model and calculate the number of spare parts required for each cycle, calculate the optimal spare parts order quantity within the cycle, and ensure the normal production of the storage center. At the same time, the manufacturer's orders and master production plan are analyzed, and the bill of materials for each manufactured product is determined. The specific demand quantity and demand time of various raw materials required for the production line are calculated, so that the shared warehouse can store the appropriate inventory quantity at the right time.

[0018] Step 2: The warehouse product terminal conducts a wide range of logistics resource product allocation analysis in the form of centralized procurement, dynamic storage and JIT distribution; In the embodiment of the present invention, the warehouse product terminal connects manufacturers, suppliers and customers through the warehouse product service information sharing unit, and realizes the information sharing of warehouse management between upstream and downstream manufacturers and suppliers. According to the changes in the warehouse product service needs of customers, manufacturers and suppliers make real-time adjustments to warehouse product services. Upstream manufacturers obtain market demand information through the information sharing unit, and downstream suppliers adjust the production plan of service products according to the shared order information in the information sharing unit. Exemplarily, the warehousing product terminal completes the formulation of the master production plan based on orders and existing production resources, and calculates the materials required for the production line at a specific time. The output is the specific spare parts demand and material demand of the manufacturer's production line in a certain period of time. Shared warehousing places orders from suppliers based on customer needs and transports them to the warehousing center for classified and partitioned storage. Then, based on the material and storage requirements of the manufacturer's production plan, the shared warehousing center optimizes the distribution route to meet the company's two-way material distribution needs based on just-in-time production. That is, after the manufacturing service company registers the company information on the system platform, it determines the parts list that needs to be stored and distributed according to the company's storage and distribution needs, and publishes the storage task storage quantity, storage type, and estimated in and out time.

[0019] Step 3: The system warehouse product terminal selects and executes the service cooperation model based on the customer's registered information and the service requirements published by the customer; In the embodiment of the present invention, the system warehousing product terminal makes corresponding warehousing requests according to the customer's orders received by the warehousing and distribution unit and the customer's requirements, allocates the corresponding warehouse area to the goods to be stored according to the goods type according to the customer's order status and generates a warehousing order, and at the same time, checks and accepts the goods before they are stored, including checking and processing the goods number, goods quantity, and order status information of the goods, and then allocates the warehoused goods to positions in the warehouse according to the type and quantity, automatically allocates the positions of the goods or manually arranges the positions, and generates a detailed position list of the warehoused goods. The inventory management end in the system performs real-time statistics on the detailed information of the goods stored in the warehouse, and monitors the changes in the information of the goods in real time. When the goods are in the warehouse, the warehouse management end performs inventory and inventory optimization on the goods stored in the warehouse; For example, the warehousing and distribution unit in the system is then used to make distribution selections according to the corresponding order status and inventory conditions. The delivery vehicle, delivery personnel and corresponding outbound processing are selected through the delivery order received through the background management terminal. The distribution plan is executed according to the system scheduling. After the distribution plan is arranged, the warehousing and distribution unit optimizes the picking plan according to the location of the goods and the warehouse location. After receiving the picking list, the warehouse manager picks the target goods and hands them over to the transport vehicle for outbound processing. After loading is completed, the distribution order is generated and printed according to the order and delivery location. During the distribution process, the system monitors and feedbacks the vehicle position in real time according to the vehicle GPS positioning. After the customer receives the goods and confirms the delivery at the destination, the system confirms that the delivery order has been delivered, calculates the incurred fees, and settles the order with the customer to confirm that the order is completed.

[0020] Step 4: The product service terminal selects the optimal distribution path for the product distribution service according to the distribution unit in the warehouse product terminal; In an embodiment of the present invention, based on the existing warehousing center database, corporate customers who need delivery in the system are obtained, all customer companies are numbered, the location coordinate information of the warehousing and the demand of supply and demand manufacturers and customers are determined, and the time window is set according to the empirical data of delivery. When the geographical location and distance information of the warehousing and delivery customers are known, and the supply and demand requirements and service time periods of each customer are known, the set time window conditions are used to output the timely two-way supply and demand delivery service that needs to be provided.

[0021] Step 5: Use the warehouse product service safety evaluation index system to identify the safety of warehouse product distribution services.

[0022] In an embodiment of the present invention, a set of security factors for warehousing product services is constructed, indicators are determined according to the service mode and stage of the warehousing system, element indicators of the network layer and a group of warehousing product service security elements are constructed at the product service terminal, and warehousing product service security evaluation sub-elements are constructed. The interactions and influence relationships between the security elements of the warehousing product service are set according to empirical parameters, a security evaluation network diagram is obtained, and evaluation data is obtained by analyzing the security evaluation diagram. The importance scale value between the security elements in each stage under each service mode of the set warehousing product service is input, and the importance scale value is an integer from 1 to 9. At the same time, an importance scale is set for each warehousing product service security indicator element, and the collected evaluation information data is batch processed, a supermatrix and a weighted matrix are constructed to obtain a limit supermatrix. By using the importance scale to compare the security elements in the evaluation indicators pairwise, the security evaluation data of the day under the warehousing product service mode is further whitened, and the importance of the security factors is sorted and output according to the final evaluation data.

[0023] Embodiment 2: Embodiment 2 of the present invention provides a product service system based on network security. Figure 2A schematic diagram of the module composition of a network security-based product service system provided in Embodiment 2 of the present invention is shown in FIG. Figure 2 As shown, the system includes: Warehouse system terminal module, used for multi-operation terminals established by the system based on warehouse product services; The warehousing product service analysis module is used for the system to analyze and select warehousing product service models based on the client's multiple needs; The safety factor identification module is used to systematically identify various safety indicator factors at different stages of the warehousing product service process.

[0024] In some embodiments of the present invention, the storage system terminal module includes: Warehouse product terminal, used for large-scale logistics resource product allocation analysis; Product service terminal, used to execute demand services based on customer registered information and service requirements published by customers; The product demand forecasting service module is used for product service terminals to provide personalized product demand forecasting services to users.

[0025] In some embodiments of the present invention, the warehouse product service analysis module includes: The main service form module is used for the warehouse product terminal to operate in the main service form of centralized procurement, dynamic storage and JIT distribution; The information sharing unit module is used for manufacturers, suppliers and customers in the storage product terminal to share information through the storage product service information sharing unit; A service cooperation mode selection module is used to select and execute the service cooperation mode according to service requirements; The delivery selection module is used by the warehouse and delivery unit to make delivery selections according to the corresponding order status and inventory status; The distribution path optimization module is used by the product service terminal to make the optimal selection of the distribution path for product distribution services based on the distribution units in the warehouse product terminal.

[0026] In some embodiments of the present invention, the security factor identification module includes: The safety evaluation index system module is used to identify the safety of warehouse product distribution services using the warehouse product service safety evaluation index system; A safety index determination module is used to determine the index according to the service mode and stage of the warehousing system; The importance output module is used to rank and output the importance of safety factors based on the final evaluation data.

[0027] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0028] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A product service method based on network security, characterized by: The method comprises the following steps: Step 1: The warehouse system establishes warehouse product terminals and product service terminals, and uses the product service terminals to provide personalized product demand forecasting services for users; Step 2: The warehouse product terminal conducts a wide range of logistics resource product allocation analysis in the form of centralized procurement, dynamic storage and JIT distribution; Step 3: The system warehouse product terminal selects and executes the service cooperation model based on the customer's registered information and the service requirements published by the customer; Step 4: The product service terminal selects the optimal distribution path for the product distribution service according to the distribution unit in the warehouse product terminal; Step 5: Use the warehouse product service safety evaluation index system to identify the safety of warehouse product distribution services.

2. A network security-based product service method according to claim 1, characterized in that: The step of using the product service terminal to provide a personalized product demand forecasting service for users includes: Warehousing enterprises forecast the demand for spare parts for all service terminal production lines they serve; Calculate based on the material requirements of the order; Use similarity methods to predict and analyze the spare parts in the warehouse, model and calculate the number of spare parts required for each cycle, and calculate the optimal spare parts order quantity within the cycle; At the same time, the manufacturer's orders and master production plans are analyzed, and the bill of materials for each product manufactured is determined, and the specific required quantity and time of the various raw materials required for the production line are calculated; The product service terminal is set up with multiple downstream demand points according to the user's demand for storage space rental in the storage area; According to the known demand of each demand point, the product service terminal sets up corresponding warehouses in the area to meet the customer's storage needs. When each downstream demand point can only have one warehouse responsible for providing goods, each warehouse can be set up to provide goods to multiple downstream demand points at the same time; Based on the storage space rental fees, transportation distance, and transportation rate factors corresponding to user needs, the total cost of different storage resource selection options is calculated, and the warehouse resource option with the lowest total cost is selected.

3. A network security-based product service method according to claim 2, characterized in that: The steps of performing large-scale logistics resource product allocation analysis include: In the warehousing product terminal, manufacturers, suppliers and customers are connected through the warehousing product service information sharing unit, so that information sharing of warehousing management can be realized between upstream and downstream manufacturers and suppliers. According to the changes in customers' demand for warehousing product services, manufacturers and suppliers make real-time adjustments to warehousing product services. Upstream manufacturers obtain market demand information through the information sharing unit, and downstream suppliers adjust the production plan of service products according to the shared order information in the information sharing unit.

4. A product service method based on network security according to claim 3, characterized in that: The steps of selecting and executing the cooperation model for the service include: The system storage product terminal makes corresponding warehousing requests according to the customer's orders received by the storage and distribution unit and the customer's requirements, allocates the corresponding warehouse area to the goods to be stored according to the goods type and generates a warehousing order according to the customer's order status; Utilize the warehousing and distribution units in the system to make distribution choices based on the corresponding order status and inventory conditions.

5. A network security-based product service method according to claim 4, characterized in that: The step of optimally selecting a delivery path for a product delivery service comprises: Based on the existing warehousing center database, corporate customers who need delivery in the system are obtained, all customer companies are numbered, the location coordinate information of the warehousing and the demand of supply and demand manufacturers and customers are determined, and the time window is set according to the experience data of delivery. When the geographical location and distance information of the warehousing and delivery customers are known, and the supply and demand requirements and service time periods of each customer are known, the set time window conditions are used to output the timely two-way supply and demand delivery service that needs to be provided.

6. A network security-based product service method according to claim 5, characterized in that: The steps of performing security identification include: Construct a set of security factors for warehousing product services; Determine indicators based on the service model and stage of the warehousing system; Construct network layer element indicators and storage product service security element groups at product service terminals; Construct the warehousing product service safety evaluation sub-element; Set importance scales for each storage product service safety indicator element and process the collected evaluation information data in batches; Construct a supermatrix and a weighted matrix to obtain a limit supermatrix, and compare the safety elements in the evaluation index pairwise using the importance scale; Whiten the safety evaluation data of the day under the warehousing product service model, and output the safety factors in order of importance based on the final evaluation data.

7. A product service system for executing a product service method based on network security as claimed in claim 1, characterized in that: The system comprises: Warehouse system terminal module, used for multi-operation terminals established by the system based on warehouse product services; The warehousing product service analysis module is used for the system to analyze and select warehousing product service models based on the client's multiple needs; The safety factor identification module is used to systematically identify various safety indicator factors at different stages of the warehousing product service process.

8. The product service system according to claim 7, characterized in that: The storage system terminal module includes: Warehouse product terminal, used for large-scale logistics resource product allocation analysis; Product service terminal, used to execute demand services based on customer registered information and service requirements published by customers; The product demand forecasting service module is used for product service terminals to provide personalized product demand forecasting services to users.

9. The product service system according to claim 8, characterized in that: The warehousing product service analysis module includes: The main service form module is used for the warehouse product terminal to operate in the main service form of centralized procurement, dynamic storage and JIT distribution; The information sharing unit module is used for manufacturers, suppliers and customers in the storage product terminal to share information through the storage product service information sharing unit; A service cooperation mode selection module is used to select and execute the service cooperation mode according to service requirements; The delivery selection module is used by the warehouse and delivery unit to make delivery selections according to the corresponding order status and inventory status; The distribution path optimization module is used by the product service terminal to make the optimal selection of the distribution path for product distribution services based on the distribution units in the warehouse product terminal.

10. The product service system according to claim 9, characterized in that: The security factor identification module includes: The safety evaluation index system module is used to identify the safety of warehouse product distribution services using the warehouse product service safety evaluation index system; A safety index determination module is used to determine the index according to the service mode and stage of the warehousing system; The importance output module is used to output the importance ranking of safety factors based on the final evaluation data.

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