Data-driven WMS storage optimization system

Abstract

The invention, which relates to the technical field of the WMS storage optimization system, discloses a data-driven WMS storage optimization system comprising a WMS storage management system, an order center, a warehouse-in management module, a warehouse-out management module, an inventory management module and a basic management module. The output end of the WMS warehouse management system is connected with an order center, a warehouse-in management module, a warehouse-out management module, an inventory management module and a basic management module. According to the data-driven WMS warehouse optimization system, the data driving module can be established, the data of each link of the warehouse can be acquired in real time through the data real-time acquisition module, and the WMS warehouse optimization system acquires, processes and analyzes the warehouse data in real time, so that the warehouse optimization efficiency is improved. The warehouse operation process can be optimized, the inventory management level can be improved, the logistics cost can be reduced, the customer satisfaction can be improved, and by means of the efficient data driving mode, the WMS warehouse management system can help enterprises achieve automation and high efficiency of warehouse management.

Description

Technical Field

[0001] The present invention relates to the technical field of WMS warehouse optimization systems, and particularly to a data-driven WMS warehouse optimization system. Background Technique

[0002] The WMS warehouse optimization system refers to a warehouse management system, which is an integrated software system used to optimize warehouse operations and improve storage and distribution efficiency. The WMS warehouse optimization system is widely used in scenarios such as e-commerce logistics centers, manufacturing production lines, and multi-channel distribution networks, providing enterprises with a comprehensive warehouse management solution and promoting the further development of enterprise logistics management.

[0003] In the prior art, the WMS warehouse optimization system is an important tool for modern warehouse management. However, in the traditional WMS warehouse management system, data in each link needs to be manually recorded and uploaded by personnel, making it difficult to collect and analyze data in a timely manner, resulting in low data-driven efficiency of the WMS warehouse management system. Summary of the Invention

[0004] The purpose of the present invention is to provide a data-driven WMS warehouse optimization system to solve the problem of low data-driven efficiency of the WMS warehouse optimization system proposed in the above background technique.

[0005] To achieve the above purpose, the present invention provides the following technical solution: A data-driven WMS warehouse optimization system, including: a WMS warehouse management system, an order center, an inbound management module, an outbound management module, an inventory management module, and a basic management module. The output end of the WMS warehouse management system is respectively connected to the order center, the inbound management module, the outbound management module, the inventory management module, and the basic management module. The output ends of the inbound management module and the outbound management module are commonly connected to the receiving end of the inventory management module.

[0006] Preferably, the output end of the WMS warehouse management system is connected to a data-driven module, the output end of the data-driven module is connected to a data real-time collection module, and the output end of the data real-time collection module is respectively connected to an automatic adjustment module, a data analysis module, and a prediction module.

[0007] Preferably, the output end of the data analysis module is respectively connected to an automatic allocation module and a data sharing module.

[0008] Preferably, the output end of the data sharing module is connected to a comparison module, and the output end of the comparison module is connected to a data exchange module.

[0009] Preferably, the output end of the inventory management module is respectively connected to a location management module, an inventory checking management module, and an information recording module, and the output end of the location management module is connected to a location warning module.

[0010] Preferably, the output end of the storage location warning module is connected to a data transmission module, and the output end of the inventory management module is connected to a monitoring management module.

[0011] Preferably, the output end of the information recording module is connected to a classification management module, and the output end of the classification management module is connected to a statistical analysis module.

[0012] Preferably, the output end of the order center is respectively connected to an automatic processing module, a report generation module, and a security management module, and the output end of the automatic processing module is connected to an automatic division module.

[0013] Preferably, the output end of the automatic division module is connected to an exception reminder module, and the output end of the exception reminder module is connected to a mobile processing device.

[0014] Preferably, the output end of the security management module is respectively connected to an encryption module, a behavior monitoring module, and a permission management module.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: This data-driven WMS warehouse optimization system can establish a data-driven module, and the data real-time acquisition module can collect the data of each link in the warehouse in real time. At the same time, the automatic adjustment module can dynamically adjust according to the collected data information. The data analysis module can analyze the collected data. At the same time, the prediction module can predict the demand trend of goods and automatically adjust the inventory level according to the prediction results. The WMS warehouse management system can optimize the warehouse operation process, improve the inventory management level, reduce the logistics cost, and enhance the customer satisfaction by collecting, processing, and analyzing the warehouse data in real time. This efficient data-driven method enables the WMS warehouse management system to help enterprises achieve the automation and high efficiency of warehouse management.

[0016] 1. The WMS warehouse optimization system can track the location and status of goods in real time and manage goods comprehensively. However, it is difficult to collect and analyze data in real time at each link, resulting in a relatively low data-driven efficiency of the WMS warehouse management system. A data-driven module can be established. The data real-time collection module can collect data at each link of the warehouse in real time. At the same time, the automatic adjustment module can make dynamic adjustments according to the collected data information. The data analysis module can analyze the collected data. Meanwhile, the prediction module can predict the demand trend of goods and automatically adjust the inventory level according to the prediction results. This can help enterprises avoid inventory backlogs or shortages. According to the data analyzed by the data analysis module, resources such as pickers, handling equipment, and transport vehicles can be automatically allocated through the automatic allocation module to ensure the smooth progress of operations. And through the data sharing module, seamless docking and integration with other systems of the enterprise can be achieved, such as ERP and SCM systems. The comparison module can compare the differences between systems, and then data sharing and exchange can be realized through the data exchange module. This helps enterprises better understand the inventory situation, optimize logistics management, and improve operational efficiency. By collecting, processing, and analyzing warehouse data in real time, the WMS warehouse management system can optimize warehouse operation processes, improve inventory management levels, reduce logistics costs, and enhance customer satisfaction. This efficient data-driven method enables the WMS warehouse management system to help enterprises achieve automation and high efficiency in warehouse management.

[0017] 2. The inventory management module in the WMS warehouse optimization system can manage the goods in the storage locations. Due to the large variety of goods, the placement of goods is prone to confusion. Through the storage location management module, the effective management of storage location capacity can be ensured, and the storage locations will not be overfilled. Set the maximum capacity of the storage locations and monitor to prevent exceeding this capacity, thus avoiding inventory backlogs and confusion. And set inventory warning indicators through the storage location warning module. When the inventory quantity is lower than or exceeds the set value, the system will automatically issue a warning prompt. The warning prompt issued by the storage location warning module can send information to relevant personnel through the data transmission module. During the inventory count process, the goods can be quickly counted through the inventory count management module, and the monitoring management module can monitor and display the inventory situation in the warehouse in real time. When goods enter or leave the warehouse, relevant information can be automatically recorded through the information recording module. Through the classification management module, goods with high, medium, and low turnover rates are classified. Place goods with high turnover rates in locations where goods often enter and leave the warehouse, and place goods with low turnover rates in locations where goods do not often enter and leave the warehouse, so as to optimize the storage location allocation, improve warehouse management efficiency, and at the same time, the goods are not prone to placement confusion. Then, through the statistical analysis module, the classified goods are statistically analyzed, enabling personnel to quickly understand the quantity and types of goods.

[0018] 3. The order center in the WMS warehouse optimization system mainly processes and manages orders. The traditional order center has low confidentiality. During the use of the order center, through the automatic processing module, order information can be automatically processed to reduce manual intervention, improve processing speed and accuracy. Through the automatic division module, the goods placement area can be automatically divided according to the types of goods, enabling rapid division and management of goods. Once the goods placement position is incorrect, the abnormal reminder module can remind relevant personnel, and the personnel can promptly handle the abnormal problems through the mobile processing device. Through the report generation module, corresponding reports can be generated based on the unit price and quantity of the goods, facilitating viewing and statistics by personnel. The security management module can manage the information in the order center. Through the encryption module, the information in the order center can be encrypted, and at the same time, through the permission management module, the access and operation permissions of irrelevant personnel can be restricted, improving the security and confidentiality of order processing. The behavior monitoring module is used to monitor the information accessed and operation behaviors of personnel to ensure the security of the system. Description of the Drawings

[0019] Figure 1 It is a schematic diagram of the main framework structure of the WMS warehouse management system of the present invention;

[0020] Figure 2 It is a schematic diagram of the framework structure of the data-driven module of the present invention;

[0021] Figure 3 It is a schematic diagram of the framework structure of the inventory management module of the present invention;

[0022] Figure 4 It is a schematic diagram of the framework structure of the order center of the present invention.

[0023] In the figure: 1. WMS warehouse management system; 2. Order center; 3. Inbound management module; 4. Outbound management module; 5. Inventory management module; 6. Basic management module; 7. Data-driven module; 8. Data real-time acquisition module; 9. Automatic adjustment module; 10. Data analysis module; 11. Prediction module; 12. Automatic allocation module; 13. Data sharing module; 14. Comparison module; 15. Data exchange module; 16. Location management module; 17. Inventory check management module; 18. Information recording module; 19. Location warning module; 20. Data transmission module; 21. Monitoring management module; 22. Classification management module; 23. Statistical analysis module; 24. Automatic processing module; 25. Report generation module; 26. Security management module; 27. Automatic division module; 28. Abnormal reminder module; 29. Mobile processing device; 30. Encryption module; 31. Behavior monitoring module; 32. Permission management module. Detailed Embodiments

[0024] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0025] Please refer to Figure 1 and Figure 2 As can be seen, the present invention provides a technical solution: a data-driven WMS warehouse optimization system, including: a WMS warehouse management system 1, an order center 2, a warehousing management module 3, a shipping management module 4, an inventory management module 5, and a basic management module 6. The output ends of the WMS warehouse management system 1 are respectively connected to the order center 2, the warehousing management module 3, the shipping management module 4, the inventory management module 5, and the basic management module 6. The output ends of the warehousing management module 3 and the shipping management module 4 are commonly connected to the receiving end of the inventory management module 5. The output end of the WMS warehouse management system 1 is connected to a data-driven module 7. The output end of the data-driven module 7 is connected to a data real-time acquisition module 8. The output end of the data real-time acquisition module 8 is respectively connected to an automatic adjustment module 9, a data analysis module 10, and a prediction module 11. The output end of the data analysis module 10 is respectively connected to an automatic allocation module 12 and a data sharing module 13. The output end of the data sharing module 13 is connected to a comparison module 14. The output end of the comparison module 14 is connected to a data exchange module 15.

[0026] In specific implementation, the WMS warehousing optimization system can track the location and status of goods in real time and manage goods in all aspects. However, it is difficult to collect and analyze data in each link in real time, resulting in a relatively low data-driven efficiency of the WMS warehousing management system 1. A data-driven module 7 can be established, and the data real-time collection module 8 can collect data in all links of the warehouse in real time, including the inbound, outbound, inventory status, and warehouse equipment status of goods. At the same time, the automatic adjustment module 9 can make dynamic adjustments according to the collected data information. For example, when a device fails, the system will automatically notify the maintenance personnel for handling. The data analysis module 10 can analyze the collected data. Based on the analysis results, the system can provide intelligent decision-making support for warehouse management personnel. For example, the system can automatically generate the optimal inventory strategy, storage location allocation plan, and operation plan, etc., to help the warehouse operate efficiently. At the same time, the prediction module 11 can predict the demand trend of goods and automatically adjust the inventory level according to the prediction results, which can help enterprises avoid inventory backlogs or shortages, reduce inventory costs, and improve customer satisfaction. According to the data analyzed by the data analysis module 10, resources such as pickers, handling equipment, and transportation vehicles can be automatically allocated through the automatic allocation module 12 to ensure the smooth progress of operations. And through the data sharing module 13, seamless docking and integration with other systems of the enterprise can be achieved, such as systems like ERP and SCM. The comparison module 14 can compare the differences between each system, and then the data sharing and exchange can be realized through the data exchange module 15, which helps enterprises better grasp the inventory situation, optimize logistics management, and improve operation efficiency.

[0027] Refer to Figure 1 and Figure 2 It can be seen that by collecting, processing, and analyzing warehouse data in real time, the WMS warehousing management system 1 can optimize the warehouse operation process, improve the inventory management level, reduce logistics costs, and enhance customer satisfaction. This efficient data-driven method enables the WMS warehousing management system 1 to help enterprises achieve the automation and high efficiency of warehouse management.

[0028] Refer to Figure 1 and Figure 3 It can be seen that the output ends of the inventory management module 5 are respectively connected to a storage location management module 16, an inventory checking management module 17, and an information recording module 18. The output end of the storage location management module 16 is connected to a storage location warning module 19. The output end of the storage location warning module 19 is connected to a data transmission module 20. The output end of the inventory checking management module 17 is connected to a monitoring management module 21. The output end of the information recording module 18 is connected to a classification management module 22. The output end of the classification management module 22 is connected to a statistical analysis module 23.

[0029] During specific implementation, the inventory management module 5 in the WMS warehouse optimization system can manage the goods in the storage locations. Since there are many types of goods, it is easy for the placement of goods to become chaotic. Through the storage location management module 16, the storage capacity of the storage locations can be effectively managed, preventing overfilling of the storage locations. Set the maximum capacity of the storage locations and monitor to prevent exceeding this capacity, thereby avoiding inventory backlogs and chaos. And set inventory warning indicators through the storage location warning module 19. When the inventory quantity is lower than or exceeds the set value, the system will automatically issue a warning prompt. The warning prompt issued by the storage location warning module 19 can send information to relevant personnel through the data transmission module 20, so that corresponding replenishment or adjustment measures can be taken in a timely manner, which helps to avoid inventory shortages or backlogs and keep the inventory level within a reasonable range. During the process of inventory counting, the inventory can be quickly counted through the inventory counting management module 17, and the monitoring management module 21 can monitor and display the inventory situation in the warehouse in real time, making the inventory information visual. Personnel can intuitively understand information such as the current inventory quantity, location, and status through the interface of the system, so as to timely grasp the inventory situation. When goods enter or leave the warehouse, relevant information, including the quantity of goods, time, and responsible person, can be automatically recorded through the information recording module 18, making the information on the entry and exit of goods traceable.

[0030] Refer to Figure 1 and Figure 3 It can be seen that through the classification management module 22, the goods with high turnover rate, medium turnover rate, and low turnover rate are classified and divided. The goods with high turnover rate are placed in the locations where goods often enter and leave the warehouse, and the goods with low turnover rate are placed in the locations where goods do not often enter and leave the warehouse, thereby optimizing the storage location allocation, improving the warehouse management efficiency, and at the same time, it is not easy for the goods to be placed in a chaotic manner. Then, through the statistical analysis module 23, the classified goods are statistically analyzed, enabling personnel to quickly understand the quantity and types of goods.

[0031] Refer to Figure 1 and Figure 4 It can be seen that the output ends of the order center 2 are respectively connected to an automatic processing module 24, a report generation module 25, and a security management module 26. The output end of the automatic processing module 24 is connected to an automatic classification module 27. The output end of the automatic classification module 27 is connected to an exception reminder module 28. The output end of the exception reminder module 28 is connected to a mobile processing device 29. The output ends of the security management module 26 are respectively connected to an encryption module 30, a behavior monitoring module 31, and a permission management module 32. The output end of the security management module 26 is connected to the receiving end of the order center 2.

[0032] In specific implementation, the order center 2 in the WMS warehouse optimization system mainly processes and manages orders. The traditional order center 2 has low confidentiality. During the use of the order center 2, the automatic processing module 24 can automatically process order information to reduce manual intervention, improve processing speed and accuracy. The automatic division module 27 can automatically divide the goods placement area according to the types of goods, enabling rapid division and management of goods. Once the goods placement position is incorrect, the abnormal reminder module 28 can remind relevant personnel, and the personnel can promptly handle abnormal problems through the mobile processing device 29, thereby improving work efficiency and accuracy. The mobile processing device 29 can be a handheld terminal or a tablet computer. The report generation module 25 can generate corresponding reports based on the unit price and quantity of goods, facilitating viewing and statistics by personnel. The security management module 26 can manage the information in the order center 2.

[0033] Refer to Figure 1 and Figure 4 It can be seen that through the encryption module 30, the information in the order center 2 can be encrypted, and at the same time, the access and operation permissions of unauthorized personnel can be restricted through the permission management module 32, improving the security and confidentiality of order processing. The behavior monitoring module 31 is used to monitor the information accessed and operation behaviors of personnel to ensure the security of the system.

[0034] In summary, when using the data-driven WMS warehouse optimization system, a data-driven module 7 can be established, and the data real-time acquisition module 8 can collect the data of each link in the warehouse in real time, including the inbound, outbound, inventory status, and warehouse equipment status of goods. At the same time, the automatic adjustment module 9 can make dynamic adjustments according to the collected data information. By collecting, processing, and analyzing warehouse data in real time, the WMS warehouse management system 1 can optimize the warehouse operation process, improve the inventory management level, reduce logistics costs, and enhance customer satisfaction. This efficient data-driven method enables the WMS warehouse management system 1 to help enterprises achieve the automation and high efficiency of warehouse management. By classifying goods with high, medium, and low turnover rates through the classification management module 22, placing goods with high turnover rates in positions where they often enter and leave the warehouse, and placing goods with low turnover rates in positions where they do not often enter and leave the warehouse, the warehouse location allocation can be optimized, the warehouse management efficiency can be improved, and the goods are not likely to be placed in a chaotic manner. Then, through the statistical analysis module 23, the classified goods are statistically analyzed, enabling personnel to quickly understand the quantity and types of goods. The information in the order center 2 can be encrypted through the encryption module 30. At the same time, the access and operation permissions of unauthorized personnel are restricted through the permission management module 32, improving the security and confidentiality of order processing, and the behavior monitoring module 31 is used to monitor the information accessed and operation behaviors of personnel to ensure the security of the system. The content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0035] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A data-driven WMS warehouse optimization system, comprising: The WMS warehouse management system (1), order center (2), warehouse entry management module (3), warehouse exit management module (4), inventory management module (5) and basic management module (6) are characterized by: The output end of the WMS warehouse management system (1) is respectively connected to an order center (2), an incoming warehouse management module (3), an outgoing warehouse management module (4), an inventory management module (5) and a basic management module (6); the output ends of the incoming warehouse management module (3) and the outgoing warehouse management module (4) are commonly connected to a receiving end of the inventory management module (5).

2. A data-driven WMS warehouse optimization system according to claim 1, characterized in that: The output end of the WMS warehouse management system (1) is connected to a data driving module (7), the output end of the data driving module (7) is connected to a real-time data acquisition module (8), and the output end of the real-time data acquisition module (8) is respectively connected to an automatic adjustment module (9), a data analysis module (10) and a prediction module (11).

3. A data-driven WMS warehouse optimization system according to claim 2, characterized in that: The output end of the data analysis module (10) is respectively connected to an automatic allocation module (12) and a data sharing module (13).

4. A data-driven WMS warehouse optimization system according to claim 3, characterized in that: The output end of the data sharing module (13) is connected to a comparison module (14), and the output end of the comparison module (14) is connected to a data exchange module (15).

5. The data-driven WMS warehouse optimization system according to claim 1, characterized in that: The output end of the inventory management module (5) is respectively connected to a storage location management module (16), an inventory management module (17) and an information recording module (18), and the output end of the storage location management module (16) is connected to a storage location early warning module (19).

6. A data-driven WMS warehouse optimization system according to claim 5, characterized in that: The output end of the storage location warning module (19) is connected to a data transmission module (20), and the output end of the inventory management module (17) is connected to a monitoring management module (21).

7. A data-driven WMS warehouse optimization system according to claim 6, characterized in that: The output end of the information recording module (18) is connected to a classification management module (22), and the output end of the classification management module (22) is connected to a statistical analysis module (23).

8. The data-driven WMS warehouse optimization system according to claim 1, characterized in that: The output end of the order center (2) is respectively connected to an automatic processing module (24), a report generation module (25) and a security management module (26), and the output end of the automatic processing module (24) is connected to an automatic classification module (27).

9. A data-driven WMS warehouse optimization system according to claim 8, characterized in that: The output end of the automatic classification module (27) is connected to an abnormality reminder module (28), and the output end of the abnormality reminder module (28) is connected to a mobile processing device (29).

10. A data-driven WMS warehouse optimization system according to claim 8, characterized in that: The output end of the security management module (26) is respectively connected to an encryption module (30), a behavior monitoring module (31) and a rights management module (32).

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