Cross-regional linkage intensive material management method and system
Through the intensive material management methods and systems that are linked across regions, and the scheduling center is used to uniformly manage and allocate warehousing nodes, the problems of low centralized management efficiency and irregular management of uniform distributed warehousing model are solved, and efficient, standardized and rapid response to material management is achieved.
Patent Information
- Application Number
- CN202510899580.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-01
- Publication Date
- 2025-08-01
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the prior art, the material management model in the power and communications industry has problems such as low centralized management efficiency and delayed rescue time, and the uniformly distributed warehousing model is susceptible to project changes and irregular management, resulting in increased risk and difficulty of material management.
By setting up a dispatch center to manage and allocate the dynamic balance of materials between nodes and sub-nodes of the warehousing center, the standardization, visualization and efficiency of material management are achieved, and intensive material management methods and systems that are linked across regions are used, including receiving material requests, querying reserves, allocating materials, regular inspections and dynamic allocation.
It effectively reduces the rescue time, ensures rapid recovery of electricity, solves the problem of out-of-synchronization of material management information, reduces manpower and transportation costs, and improves the standardization and efficiency of material allocation.
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Figure CN120410146A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the technical field of material management, and particularly to an intensive material management method and system with cross-regional linkage. Background Art
[0002] In the power and communication industries, with the wide distribution of networks and the national coverage of lines, the maintenance of hardware devices and fault rescue have become important business links. At present, these industries mainly rely on the central end for material scheduling to handle equipment failures. However, this centralized management mode has obvious efficiency bottlenecks in dealing with sudden failures and is prone to delaying rescue time. In order to improve the response speed, some enterprises have tried to adopt a uniform distributed warehousing mode at nodes below the county level. However, this mode faces many challenges during implementation, is easily affected by objective factors such as project design changes, engineering construction progress, and completion of power grid construction indicators. There are also problems such as inadequate supervision of the warehousing and outbound norms of management personnel, asynchronous material management information, resulting in inconsistencies between accounts and physical objects, and difficulties in material verification, further increasing the risks and difficulties of material management. Summary of the Invention
[0003] The present disclosure provides a method and system for intensive material management with cross-regional linkage. By setting up a dispatching center to uniformly manage and allocate the dynamic balance of materials between the warehousing center nodes and sub-nodes, the rescue time is effectively reduced, and material management and material allocation are made standardized, visual, efficient, and intelligent.
[0004] The present disclosure provides an intensive material management method with cross-regional linkage. The method includes: S1. Receive a material request sent by a first sub-node. The material request contains the name and quantity of the materials required by the first sub-node. Query whether the materials reserved by the first sub-node meet the material request. If they meet, enter S4; if not, enter S2. S2. Query whether the materials reserved by the first warehousing center node covering the first sub-node meet the material request. If they meet, allocate the materials corresponding to the material request to the first sub-node and enter S4; if not, enter S3. S3. Query whether the materials reserved by the other warehousing center nodes except the first warehousing center node meet the material request. Sort the warehousing center nodes that meet the material request, select a second warehousing center node, allocate the materials corresponding to the material request to the first sub-node, and enter S4. S4. The first sub-node performs the material outbound operation corresponding to the material request. S5. Regularly send inspection personnel to each node. While completing the task of regular inspection, the inspection personnel simultaneously execute the regular dynamic material allocation task to achieve dynamic material balance among the warehouses of each node.
[0005] Further, the sorting of the warehouse center nodes that meet the material requests and screening out the second warehouse center node specifically include: Sort according to the distance between the warehouse center nodes that meet the material requests and the first sub-node, and screen out the warehouse center node with the shortest distance as the second warehouse center node; Or sort according to the transportation time from the warehouse center that meets the material requests to the first sub-node, and screen out the warehouse center node with the shortest transportation time as the second warehouse center node. Further, the method further includes: S6. Summarize the material inbound and outbound operation data of each node, and track the corresponding financial change data of the material inbound and outbound operations.
[0006] Further, step S5 further includes: While completing the task of regular inspection, the inspection personnel check whether the actual material reserve is consistent with the material reserve data after summarizing the material inbound and outbound operation data of each node.
[0007] Optionally, step S5 further includes: S51: When the actual material reserve in the node warehouse being inspected is consistent with the material reserve data after summarizing the material inbound and outbound operation data of each node, record the inspection log; S52: When the actual material reserve in the node warehouse being inspected is inconsistent with the material reserve data after summarizing the material inbound and outbound operation data of each node, modify it according to the actual material reserve data, and check the inbound and outbound data within this period to trace the reason for the data difference.
[0008] Step S5 further includes: generating dynamic allocation suggestions for the material reserves of each node according to historical data information.
[0009] Further, the method further includes: S7. Analyze the material inventory situation, automatically detect the information of materials approaching the warranty period, exceeding the warranty period, short supply, and long-term retention, give intelligent warnings to the on-duty personnel in a timely manner, and provide the optimal disposal plan for visual display.
[0010] Optionally, the intelligent warning includes at least one of visual interface reminder, alarm sound, or push reminder to the manager's mobile phone.
[0011] The present disclosure also provides an intensive material management system with cross - regional linkage, including: Cross - regional warehousing management module: used for the dispatching center to uniformly manage multiple node warehouses. The multiple node warehouses include at least one warehousing center node and at least one sub - node within a preset range from each warehousing center node. The multiple node warehouses are all communicatively connected to the dispatching center, and the dispatching center can obtain the warehousing situation of all the node warehouses in real time to achieve synchronous sharing of material information; Intelligent material allocation module: used for the dispatching center to uniformly allocate the materials of the multiple node warehouses, and can also receive the material requests from each node warehouse and perform allocation operations according to the requests; Accounting and physical synchronization module: responsible for summarizing the material inbound and outbound operation data of each node warehouse to the dispatching center. The dispatching center records the financial changes corresponding to the material inbound and outbound operations, and regularly sends inspection personnel to each node warehouse to check whether the actual material reserves are consistent with the material reserve data recorded by the dispatching center; Intelligent early warning and optimization decision - making module: uses AI tools to analyze the material inventory situation, automatically detects the information of materials approaching the warranty period, exceeding the warranty period, in short supply, or with long - term retention, gives intelligent early warnings to the duty personnel in a timely manner, and provides the optimal disposal plan.
[0012] The present disclosure also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the cross - regional linkage intensive material management method according to any embodiment of the present invention.
[0013] The beneficial effects of the present disclosure are as follows. Compared with the prior art, the present disclosure has the following advantages: 1. The dispatching center uniformly manages and intelligently allocates multiple node warehouses. The multiple node warehouses include at least one warehousing center node and at least one sub - node within a preset range from each warehousing center node. The multiple node warehouses are all communicatively connected to the dispatching center, and the dispatching center can obtain the warehousing situation of all the node warehouses in real time to achieve synchronous sharing of material information. This node setting method effectively solves the problem that the existing centralized management mode is prone to delay the rescue time in case of sudden failures, effectively reduces the rescue time, and ensures the rapid restoration of power.
[0014] 2. The dispatching center manages the accounts and materials of all nodes. The data of material inbound and outbound operations in each node's warehouse is finally summarized to the dispatching center. The dispatching center records the inbound and outbound data of materials and the corresponding financial change data, and regularly sends inspection personnel to each node's warehouse to check the actual material reserve situation. Each node's warehouse does not need to set up account and material management personnel, effectively solving the problem of out-of-sync material management information, resulting in inconsistent accounts and physical objects, greatly reducing labor costs. At the same time, when there are differences in the inspection data, it is convenient to trace and investigate in a timely manner.
[0015] 3. While completing the regular inspection tasks of each node, the inspection personnel synchronously execute the regular dynamic material allocation tasks to achieve dynamic material balance between the warehouses of each node. Executing the dynamic allocation tasks according to a cycle makes the scope of the allocation tasks across regions small and the quantity of material allocation small, further reducing the rescue time. And, synchronously executing the allocation tasks and the regular inspections by the same inspection personnel greatly reduces labor costs and transportation costs. At the same time, centralizing the material management and allocation work of all node warehouses to the dispatching center for unified execution can greatly reduce the possibility of errors. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] The accompanying drawings herein are incorporated into the specification and form a part of the specification, showing embodiments consistent with the present disclosure, and are used together with the specification to explain the principles of the present disclosure.
[0017] Figure 1 is a flowchart of a cross-regional linkage intensive material management method provided by an embodiment of the present disclosure; Figure 2 is a schematic diagram of a cross-regional linkage intensive material management network provided by an embodiment of the present disclosure; Figure 3 is a schematic diagram of a cross-regional linkage intensive material management system provided by an embodiment of the present disclosure.
[0018] Through the above accompanying drawings, the clear embodiments of the present disclosure have been shown, and there will be more detailed descriptions hereinafter. These drawings and textual descriptions are not intended to limit the scope of the concept of the present disclosure in any way, but to illustrate the concept of the present disclosure to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0019] The present disclosure will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present disclosure and should not be used to limit the protection scope of the present disclosure.
[0020] Figure 1 is a flowchart of a cross-regional linkage intensive material management method provided by an embodiment of the present disclosure.
[0021] AsFigure 1 As shown in the figure, an intensive material management method with cross-regional linkage includes the following steps: S1. Receive a material request sent by the first sub-node. The material request contains the name and quantity of the materials required by the first sub-node. Query whether the materials stored by the first sub-node meet the material request. If they meet, enter S4; if not, enter S2. S2. Query whether the materials stored by the first warehouse center node covering the first sub-node meet the material request. If they meet, allocate the materials corresponding to the material request to the first sub-node and enter S4; if not, enter S3. S3. Query whether the materials stored by the other warehouse center nodes except the first warehouse center node meet the material request. Sort the warehouse center nodes that meet the material request, select the second warehouse center node, allocate the materials corresponding to the material request to the first sub-node, and enter S4. S4. The first sub-node performs the material outbound operation corresponding to the material request. S5. Regularly send inspection personnel to each node. While the inspection personnel complete the tasks of regular inspections, they simultaneously execute regular dynamic material allocation tasks to achieve dynamic material balance among the node warehouses.
[0022] Specifically, as Figure 2 shown in the figure, a scheduling center, at least one warehouse center node, and at least one sub-node within a preset range of distance from each warehouse center node are set in the material allocation area. The warehouse center node is a node comprehensively selected from multiple regions according to factors such as geographical conditions, traffic conditions, site rent costs, and labor costs in each region within the material management scope. The sub-nodes are several nodes in the adjacent areas covered by the warehouse center node.
[0023] A central server is arranged at the scheduling center end. The warehouse center node and the sub-nodes are star-networked with the central server on the data link. Each node can directly communicate with the central server, and the nodes are independent of each other. All the multiple node warehouses are communicatively connected to the scheduling center. The scheduling center can obtain the warehousing conditions of all the node warehouses in real time to achieve synchronous sharing of material information.
[0024] It is easy to understand that for a communication network with star networking, each node only needs to be connected to the central node, and the line laying is simple. When a network failure occurs, it can be quickly located to the central node connected to the faulty node or the node itself, which is easy to install and maintain. At the same time, star networking has high data transmission efficiency, security, and good scalability.
[0025] In step S1, child nodes distributed in various regions send material requests to the dispatching center according to actual needs. The material requests include the names and quantities of materials required by the child nodes. The dispatching center queries whether the required materials are stocked in the material warehouse of the child node and whether the quantity is sufficient to determine whether the material request is satisfied. If the required materials are stocked in the material warehouse of the child node and the quantity of materials is sufficient, the materials stocked by the child node satisfy the material request, and step S4 can be entered to directly perform the corresponding material outbound operation. If the required materials are not stocked in the material warehouse of the child node or the quantity of materials does not meet the requirement, it is determined that the materials stocked by the child node do not satisfy the material request, and it is necessary to apply for allocation from other warehouses.
[0026] In step S2, when the materials stocked by the child node do not satisfy the material request, it is necessary to expand the query scope. First, query whether the required materials are stocked in the material warehouse of the warehousing center node covering the child node and whether the quantity is sufficient. If the required materials are stocked in the material warehouse of the warehousing center node and the quantity of materials is sufficient, the materials stocked by the warehousing center node satisfy the material request, and the dispatching center allocates the materials corresponding to the material request to the child node through material allocation operations. If the required materials are not stocked in the material warehouse of the warehousing center node or the quantity of materials does not meet the requirement, it is determined that the materials stocked by the warehousing center node do not satisfy the material request, and it is necessary to further apply for allocation from other warehouses.
[0027] In step S3, when the materials stocked by the warehousing center node do not satisfy the material request, it is necessary to further expand the query scope. Query whether the required materials are stocked in the warehouses of the remaining warehousing centers other than the warehousing center nodes that do not meet the material request and whether the quantity is sufficient. Sort the warehousing center nodes that satisfy the material request and select the optimal warehousing center node. The dispatching center allocates the materials corresponding to the material request to the child node through material allocation operations.
[0028] As an example, for sorting the warehousing center nodes that satisfy the material request and selecting the optimal warehousing center node, it can be sorted according to the distances between multiple warehousing centers that satisfy the material request and the child node that sends the allocation request to select the warehousing center node with the shortest distance, or sorted according to the transportation times from multiple warehousing centers that satisfy the material request to the child node that sends the allocation request to select the warehousing center node with the shortest transportation time, etc.
[0029] In step S4, if the child node has satisfied the material request, the corresponding material outbound operation is directly executed. If the material corresponding to the material request is allocated from other warehouses to the child node, the child node executes the material inbound operation and outbound operation corresponding to the material request.
[0030] Step S5 further includes: When the inspection personnel complete the task of regular inspection, they check whether the actual material reserve is consistent with the material reserve data after summarizing the material inbound and outbound operation data of each node.
[0031] Specifically, the dispatching center regularly sends inspection personnel to the warehouse of each node to check the actual material reserve situation, ensuring that the actual material reserve data of each node is consistent with the material reserve data recorded at the dispatching center end. And when there are differences in the inspection data, it is convenient to trace and investigate in a timely manner. The inspection cycle can be 7 - 10 days, and this application does not make specific limitations on this.
[0032] Optionally, step S5 further includes: S51: When the actual material reserve of the inspected node warehouse is consistent with the material reserve data after summarizing the material inbound and outbound operation data of each node, an inspection log is recorded; S52: When the actual material reserve of the inspected node warehouse is inconsistent with the material reserve data after summarizing the material inbound and outbound operation data of each node, it is modified according to the actual material reserve data, and the inbound and outbound data within this cycle is checked to trace the reason for the data difference.
[0033] Furthermore, in step S5: To further illustrate the beneficial effects of the present invention, the following combines an actual inspection and allocation operation scenario to detail the working process of the present invention: In this embodiment, a certain unit has deployed a cross - regional material management system based on a central server. The system adopts a "centralized control + node execution" structure design, that is, only full - time material management and dispatching personnel are configured at the central end, and no local material management personnel are set at all ordinary nodes and warehouse center nodes. Instead, as pure warehousing execution units, they are responsible for receiving instructions such as allocation, repair, and outbound.
[0034] Three nodes, namely A, B, and C, are selected in the system as regional - level warehouse center nodes, each covering a number of surrounding child nodes, forming three regional sub - networks. All nodes are connected to the data server deployed at the central end through a dedicated network to form a star - shaped network connection. The server has the ability to monitor the inventory situation of each node in real - time and can receive material dispatching requests from any node.
[0035] During the monthly periodic inspection process, the central server first automatically compares the current inventory status of each node with the preset inventory ratio model, and calculates the node combinations with material redundancy or shortage. Subsequently, based on factors such as the geographical distance, transportation convenience, and current inventory status between each node, a recommended dynamic allocation task list is generated and handed over to the inspection personnel to complete during the inspection process.
[0036] Taking Warehouse B and its 8 covered sub-nodes as an example, before the start of this round of inspection, the central server has generated the following task suggestions: transfer two sets of module power supplies from sub-node B3 to node B7; transfer four antenna cables from node B5 to supplement node B4; transfer a patch panel from node B2 to supplement the data gap found in node B8 during the previous round of inspection.
[0037] During the inspection execution process, the central personnel use a handheld terminal to physically check the materials of each sub-node and perform consistency verification with the server's book data. After verification, the inspection personnel complete the material allocation between each node on-site according to the system allocation suggestions, and synchronize the operation results to the central server in real time through the terminal device to ensure the synchronous update of the book and actual data.
[0038] In addition, during the inspection process, if it is found that the actual inventory of a certain node is abnormal, or there is a material change situation that has not been recorded, the inspection personnel can make a correction entry on-site, and the server will update the corresponding inventory record accordingly and recalculate the subsequent allocation strategy.
[0039] This embodiment fully demonstrates two core advantages of the present invention: one is that all material management tasks are centralized in the central server for execution, canceling the configuration of material administrators at each node, thus significantly saving human resource investment; the other is that during the execution of the periodic inspection tasks that must be carried out originally, dynamic material allocation is simultaneously completed, reducing the redundancy of operation and maintenance operations, realizing the integrated integration of work tasks, and improving the overall management efficiency and resource utilization rate.
[0040] Furthermore, the step S5 further includes: Intelligently analyze the reserve material information of each node, automatically generate allocation suggestions for the material reserves of each node based on the data information of each node, and perform dynamic ratio matching.
[0041] Specifically, the dispatching center can use AI tools to intelligently analyze the reserve material information of each node's warehouse, extract factors such as the historical material consumption data, inventory situation, and construction plans in each region of each node, automatically generate allocation suggestions for the material reserves of each node, and perform dynamic ratio matching.
[0042] For the sake of understanding, by way of example, such as Figure 2As shown in the figure, the system is set with three warehouse center nodes A, B, and C. Each area covered by a warehouse center node contains several sub-nodes. For example, the warehouse center node B covers sub-nodes B1, B2, B3, etc. Sub-nodes usually store commonly used materials or consumable materials. In addition to storing commonly used materials or consumable materials, the warehouse center nodes also store some precious materials and materials with low usage rates. If a hardware device X fails at sub-node B1 and needs to be replaced, a replacement request can be directly sent to the central server at the dispatching center through the network. The dispatching center management staff can view the material storage situation of all nodes in the system. If sub-node B1 does not store the hardware device X, it is dispatched through warehouse center B. If warehouse center B also does not store the hardware device X, the dispatching center generates a deployment task to dispatch the hardware device X from warehouse center A or C. In order to reduce the occurrence frequency of the above cross-regional material deployment situation and ensure that each warehouse center or sub-node can better meet the material reserve needs of the area it covers, a daily dynamic dispatch needs to be completed between each warehouse center node or each sub-node. Then, an AI tool can be used to intelligently analyze the reserve material information of each node, and based on factors such as the historical material consumption data, inventory situation, and construction plans in each region of each node, automatically generate deployment suggestions for the material reserves of each node, and perform dynamic ratio matching. In this way, the turnover efficiency of materials can be greatly improved, the rescue time can be shortened, and the rapid restoration of power operation can be ensured.
[0043] Furthermore, the method further includes: S6, summarizing the material inbound and outbound operation data of each node, and tracking the financial change data corresponding to the material inbound and outbound operations.
[0044] Specifically, accountants and material management staff can be set only at the dispatching center. Each node warehouse realizes the automated operation of material inbound and outbound through RFID and barcode scanning technologies according to the dispatch tasks issued by the dispatching center. The material inbound and outbound operation data of each node warehouse is finally summarized to the dispatching center. The dispatching center records the inbound and outbound data of materials and the corresponding financial change data, and there is no need to set accountants and material management staff at each node warehouse, avoiding the out-of-sync of financial and physical information caused by insufficient supervision of inbound and outbound operations at each node, and greatly reducing the labor cost.
[0045] Furthermore, the method further includes: S7, analyzing the material inventory situation, automatically detecting the information of materials approaching the warranty period, exceeding the warranty period, short of stock, and staying for a long time, giving intelligent warnings to the on-duty personnel in a timely manner, and providing the optimal disposal plan for visual display.
[0046] Specifically, obtain the material information of each node, use AI tools to automatically detect the material information of approaching warranty period, exceeding warranty period, short break situation, and long-term detention, generate corresponding warning signals, provide the optimal disposal plan, and display it to the managers of the dispatching center in a visual way for the convenience of managers to refer to and improve the processing efficiency.
[0047] As an example, for materials approaching the warranty period, exceeding the warranty period, and short break situation, they should be taken off the shelves in time and the inventory should be replenished. Materials with long-term detention can be considered redundant materials with low demand. According to the analysis of AI tools, obtain the demand rate and usage cycle of redundant materials, and calculate the optimal reserve quantity accordingly, so as to reduce the storage cost and free up storage space for materials with high demand rate for storage.
[0048] Optionally, the intelligent warning includes visual interface reminder, alarm sound, or push reminder to the manager's mobile phone, etc. The present application does not make specific limitations on this.
[0049] The present application also includes an intensive material management system with cross-regional linkage. As Figure 3 shown, the intensive material management system with cross-regional linkage includes: Cross-regional warehousing management module 301: used for the dispatching center to uniformly manage multiple node warehouses. The multiple node warehouses include at least one warehousing center node and at least one sub-node within a preset range from each warehousing center node. The multiple node warehouses are all communicatively connected to the dispatching center, and the dispatching center can obtain the warehousing situation of all the node warehouses in real time to achieve synchronous sharing of material information.
[0050] Specifically, the warehousing center node is comprehensively selected from multiple regions according to factors such as geographical conditions, traffic conditions, site rental costs, and labor costs in each region within the material management scope. The sub-nodes are several nodes in the adjacent areas covered by the warehousing center node.
[0051] As Figure 2 shown, arrange a central server at the dispatching center end. The warehousing center node and the sub-nodes are star-networked with the central server in the data link. Each node can directly communicate with the central server, and the nodes are independent of each other.
[0052] It is easy to understand that for a communication network with star networking, each node only needs to be connected to the central node, and the line laying is simple. When the network fails, it can quickly locate the central node connected to the faulty node or the node itself, which is easy to install and maintain. At the same time, star networking has efficient and secure data transmission and excellent scalability.
[0053] Intelligent Material Allocation Module 302: It is used for the dispatching center to uniformly allocate the materials in the multiple node warehouses. At the same time, it can receive the material requests from each node warehouse and perform allocation operations according to the requests.
[0054] Optionally, the intelligent material allocation module may include an inbound and outbound management unit and an inventory management unit. The inbound and outbound management unit is responsible for the processes of material receipt, shelving, outbound, and shipping in each node warehouse. The inventory management unit is responsible for recording the material reserve quantities and the quality guarantee periods of various materials in each node warehouse.
[0055] Furthermore, the dispatching center can use AI tools to intelligently analyze the reserve material information of each node warehouse, extract the historical data in the inbound and outbound unit and the inventory unit, and automatically generate allocation suggestions for the material reserves of each node warehouse based on factors such as the historical material consumption data, inventory status, and construction plans in each region, and perform dynamic ratioing.
[0056] Accounting and Physical Synchronization Module 303: It is responsible for summarizing the material inbound and outbound operation data of each node warehouse to the dispatching center. The dispatching center records the financial changes corresponding to the material inbound and outbound operations and regularly sends inspection personnel to each node warehouse to check whether the actual material reserves are consistent with the material reserve data recorded by the dispatching center.
[0057] Specifically, accountants and material management personnel can be set only in the dispatching center. Each node warehouse realizes the automated operation of material inbound and outbound through RFID and barcode scanning technologies according to the dispatch tasks issued by the dispatching center. The material inbound and outbound operation data of each node warehouse are finally summarized to the dispatching center. The dispatching center records the inbound and outbound data of the materials and the corresponding financial change data, and there is no need to set accountants and material management personnel in each node warehouse, avoiding the out-of-sync of financial and physical information caused by ineffective supervision of inbound and outbound operations at each node and greatly reducing the labor cost.
[0058] Furthermore, the dispatching center regularly sends inspection personnel to each node warehouse to check the actual material reserve situation to ensure that the actual material reserve data of each node is consistent with the material reserve data recorded at the dispatching center end. And when there are differences in the inspection data, it is convenient to trace and investigate in a timely manner. The inspection cycle can be 7 - 10 days, and this application does not make specific limitations on this.
[0059] Optionally, while completing the task of regular inspection, the inspection personnel execute the allocation tasks generated by the intelligent material allocation module to perform regular dynamic material adjustments, achieving dynamic material balance in each node warehouse. Since the allocation tasks are executed periodically, there will not be much change in each execution of dynamic material allocation, that is, the cross-regional scope is small and the quantity of material allocation is small. Moreover, synchronously executing the allocation tasks and regular inspections by the same inspection personnel greatly reduces the labor cost and transportation cost. At the same time, centralizing the material management and allocation work of all node warehouses to the dispatching center for unified execution can greatly reduce the possibility of errors.
[0060] Intelligent early warning and optimization decision-making module 304: Analyze the material inventory situation using AI tools, automatically detect information on materials approaching the warranty period, exceeding the warranty period, short supply, and long-term retention, and give intelligent early warnings to the on-duty personnel in a timely manner, and provide the optimal disposal plan.
[0061] Specifically, the AI tools can automatically detect information on materials approaching the warranty period, exceeding the warranty period, short supply, and long-term retention, generate corresponding warning signals, and provide the optimal disposal plan, which is convenient for management personnel to refer to and improve the processing efficiency.
[0062] As an example, materials approaching the warranty period, exceeding the warranty period, and in short supply are taken off the shelves and the inventory is replenished in a timely manner. Materials with long-term retention can be considered redundant materials with low demand. According to the analysis of the AI tools, the demand rate and usage cycle of the redundant materials are obtained, and the optimal reserve quantity is calculated accordingly, so as to reduce the storage cost and free up storage space for materials with high demand rate for storage.
[0063] Furthermore, the intelligent early warning includes visual interface reminders, alarm sounds, or pushing reminders to the mobile phones of management personnel, etc. The present application does not make specific limitations on this.
[0064] The present application also includes an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the cross-regional linkage intensive material management method as described in any embodiment of the present invention.
[0065] The system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative labor.
[0066] It should be understood that the above embodiments are only used to illustrate the technical solutions of the present disclosure, rather than limiting them; although the present disclosure has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure.
Claims
1. An intensive material management method with cross - regional linkage, characterized in that, The method includes: S1. Receive a material request sent by a first child node. The material request contains the name and quantity of materials required by the first child node. Query whether the materials stocked by the first child node meet the material request. If they meet, enter S4; if not, enter S2. S2. Query whether the materials stocked by a first warehouse center node covering the first child node meet the material request. If they meet, allocate the materials corresponding to the material request to the first child node and enter S4; if not, enter S3. S3. Query whether the materials stocked by the other warehouse center nodes except the first warehouse center node meet the material request. Sort the warehouse center nodes that meet the material request, select a second warehouse center node, allocate the materials corresponding to the material request to the first child node, and enter S4. S4. The first child node performs the material outbound operation corresponding to the material request. S5. Regularly dispatch inspection personnel to each node. While the inspection personnel complete the task of regular inspection, they simultaneously execute the regular dynamic material allocation task to achieve dynamic material balance among the warehouses of each node.
2. The intensive material management method with cross-regional linkage according to claim 1, wherein The sorting of the warehouse center nodes that meet the material request and selecting the second warehouse center node specifically includes: Sort according to the distance between the warehouse center nodes that meet the material request and the first child node, and select the warehouse center node with the shortest distance as the second warehouse center node. Or sort according to the transportation time from the warehouse center that meets the material request to the first child node, and select the warehouse center node with the shortest transportation time as the second warehouse center node.
3. The intensive material management method with cross-regional linkage according to claim 1, characterized in that The method further includes: S6. Summarize the material inbound and outbound operation data of each node, and track the financial change data corresponding to the material inbound and outbound operations.
4. The intensive material management method with cross-region linkage according to claim 1, characterized in that Step S5 further includes: While the inspection personnel complete the task of regular inspection, they check whether the actual material stock is consistent with the material stock data after summarizing the material inbound and outbound operation data of each node.
5. The intensive material management method with cross-region linkage according to claim 4, wherein, Step S5 further includes: When the actual material stock of the node warehouse being inspected is consistent with the material stock data after summarizing the material inbound and outbound operation data of each node, record the inspection log. When the actual material stock of the node warehouse being inspected is inconsistent with the material stock data after summarizing the material inbound and outbound operation data of each node, modify it according to the actual material stock data and check the inbound and outbound data to trace the reason for the data difference.
6. The intensive material management method with cross-region linkage according to claim 5, characterized in that Step S5 further includes: Generate dynamic allocation suggestions for the material stocks of each node according to the historical data information.
7. The intensive material management method with cross-region linkage according to claim 1, characterized in that The method further includes: S7. Analyze the material inventory situation, automatically detect information on materials approaching the warranty period, exceeding the warranty period, short supply, and long-term retention, give intelligent warnings to the duty personnel in a timely manner, and provide the optimal disposal plan for visual display.
8. The intensive material management method with cross-regional linkage according to claim 7, characterized in that, The intelligent warning includes at least one of visual interface reminder, alarm sound, or push reminder to the manager's mobile phone.
9. An intensive material management system with cross-region linkage, characterized in that, The system is used to execute the method according to any one of claims 1-8, and includes: Cross-regional warehousing management module (301): It is used for the scheduling center to uniformly manage multiple node warehouses. The multiple node warehouses include at least one warehousing center node and at least one sub-node within a preset range from each warehousing center node. All the multiple node warehouses are communicatively connected to the scheduling center, and the scheduling center can obtain the warehousing situation of all the node warehouses in real time to achieve synchronous sharing of material information; Intelligent material allocation module (302): It is used for the scheduling center to uniformly allocate the materials of the multiple node warehouses. At the same time, it can receive the material requests from each node warehouse and perform allocation operations according to the material requests; Accounting and physical synchronization module (303): It is responsible for summarizing the material inbound and outbound operation data of each node warehouse to the scheduling center. The scheduling center records the financial changes corresponding to the material inbound and outbound operations, and regularly sends inspection personnel to each node warehouse to check whether the actual material reserves are consistent with the material reserve data recorded by the scheduling center; Intelligent early warning and optimization decision-making module (304): It uses AI tools to analyze the material reserve situation, automatically detects the material information of approaching warranty period, expired warranty period, short supply, and long-term retention, gives intelligent early warnings to the duty personnel in a timely manner, and provides the optimal disposal plan.
10. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the method according to any one of claims 1 to 8.
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