MOM-based warehouse-out strategy engine system

Abstract

The invention relates to the technical field of manufacturing operation management, in particular to an MOM-based warehouse ex-warehouse strategy engine system, which comprises an MOM data integration module, an ex-warehouse strategy module, a strategy simulation and evaluation module, a strategy optimization adjustment module and an execution and monitoring module, the MOM data integration module collects and synchronizes production order information in real time, obtains inventory data, integrates quality detection data and is used for judging whether the cargoes meet warehouse-out conditions or not; the ex-warehouse strategy module is provided with various intelligent ex-warehouse strategy units and comprises an ex-warehouse strategy unit driven based on production requirements, a shelf life priority ex-warehouse strategy unit, an inventory cost optimization ex-warehouse strategy unit and an order priority and logistics distribution collaborative ex-warehouse strategy unit; the intelligent strategy engine is used for optimizing the warehouse-out process.

Description

Technical Field

[0001] The present invention relates to the technical field of manufacturing operations management, and particularly to a warehousing outbound strategy engine system based on MOM. Background Art

[0002] With the accelerating digital transformation of the manufacturing industry, the Manufacturing Operations Management (MOM) system plays a crucial role in the production efficiency and cost control of enterprises. In the MOM system, as one of the key links, warehousing management's outbound efficiency and accuracy directly affect the smoothness and response speed of the entire production supply chain.

[0003] Traditional warehousing outbound methods expose many drawbacks when facing complex and changeable production demands and diverse inventory situations. On the one hand, relying on manual experience for outbound decisions makes it difficult to comprehensively consider various factors, such as urgent material requirements on the production line, the shelf life of inventory goods, optimization of storage locations, the priority of different orders, and the timeliness of logistics distribution. This often leads to unreasonable outbound sequences, delayed delivery of important orders, frequent occurrences of inventory backlogs or shortages, increasing production costs and operational risks. On the other hand, with the expansion of enterprise production scale and the increase in product types, the problem of low efficiency of manual operations becomes more prominent, unable to meet the requirements of the fast, accurate, and efficient production rhythm of modern manufacturing.

[0004] Therefore, there is an urgent need for an engine that can be integrated into the MOM system to automatically and intelligently generate warehousing outbound strategies, so as to improve the level of warehousing management and further enhance the competitiveness and efficiency of the entire manufacturing operation. Summary of the Invention

[0005] The purpose of the present invention is to provide a warehousing outbound strategy engine system based on MOM, which is an intelligent strategy engine for optimizing the warehousing outbound process.

[0006] The technical solution of the present invention:

[0007] A warehousing outbound strategy engine system based on MOM includes a MOM data integration module, an outbound strategy module, a strategy simulation and evaluation module, a strategy optimization and adjustment module, and an execution and monitoring module;

[0008] The MOM data integration module: Real-time collects and synchronizes production order information, obtains inventory data, and at the same time integrates quality inspection data to determine whether the goods meet the outbound conditions;

[0009] The outbound strategy module: Has a variety of intelligent outbound strategy units, including an outbound strategy unit driven by production demand, a shelf-life priority outbound strategy unit, an inventory cost optimization outbound strategy unit, and an order priority and logistics distribution collaborative outbound strategy unit;

[0010] Strategy Simulation and Evaluation Module: After the outbound strategy is generated, construct a virtual warehouse outbound environment model to simulate the operation of the strategy; through the simulation operation, collect and analyze a series of key performance indicators to comprehensively and quantitatively evaluate the feasibility and effectiveness of the outbound strategy;

[0011] Strategy Optimization and Adjustment Module: According to the feedback results of the Strategy Simulation and Evaluation Module, if it is found that there is room for improvement in the current outbound strategy, further optimize the strategy;

[0012] Execution and Monitoring Module: Convert the optimized outbound strategy into actual operation instructions and seamlessly transfer them to the WMS warehouse management system and the automated equipment in the warehouse to drive their collaborative work and complete the goods outbound operation according to the predetermined strategy.

[0013] Furthermore, the MOM data integration module is further specifically: establish an efficient data connection channel with each functional module of the MOM system and the WMS warehouse management system; collect and synchronize production order information in real time, obtain inventory data, and at the same time integrate quality inspection data to determine whether the goods meet the outbound conditions; through data cleaning, transformation and standardization processing, integrate data from different data sources into a unified format to ensure data consistency and accuracy, and provide a reliable data basis for subsequent strategy analysis.

[0014] Furthermore, in the outbound strategy module,

[0015] Outbound Strategy Unit Driven by Production Requirements: According to the real-time material requirements on the production line, combined with production plans and bill of materials information, give priority to ensuring the material supply for key production links; through real-time monitoring of the production progress and prediction of the material consumption rate, accurately calculate the outbound quantity and time node of the required materials to ensure the continuity of production and avoid production line stoppages due to material shortages;

[0016] Outbound Strategy Unit with Priority Given to Shelf Life: For goods with shelf life restrictions, the MOM system tracks the remaining shelf life of the goods in real time. Under the premise of meeting order requirements, give priority to arranging the outbound of goods with a shorter remaining shelf life, effectively reducing the risk of goods expiration losses and improving inventory turnover and asset utilization;

[0017] Outbound Strategy Unit for Optimizing Inventory Costs: Considering factors such as inventory holding costs, storage costs, handling costs, and replenishment costs comprehensively, through data analysis and optimization, determine the outbound combination method with the lowest cost;

[0018] Order Priority and Logistics Distribution Collaborative Outbound Strategy Unit: Combine the priority ranking of orders and the actual situation of logistics distribution resources to optimize the outbound order sequence and distribution batch arrangement of goods; ensure that high-priority orders can be delivered to customers in a timely and accurate manner, while making full use of logistics capacity and reducing logistics costs.

[0019] Furthermore, the outbound strategy module is further specifically as follows: According to the rules and weights preset by the enterprise and the real-time production and operation status, intelligently select and combine the above intelligent outbound strategy units to dynamically generate the outbound strategy plan most suitable for the current scenario.

[0020] Furthermore, the strategy simulation and evaluation module is further specifically as follows: After the outbound strategy is generated, construct a virtual warehouse outbound environment model to simulate the operation of the strategy; through the simulation operation, collect and analyze a series of key performance indicators to comprehensively and quantitatively evaluate the feasibility and effectiveness of the outbound strategy; compare and analyze the evaluation results with the target values and historical data set by the enterprise to determine whether the strategy meets the expected effect and provide data basis and direction for subsequent strategy optimization.

[0021] Furthermore, the strategy optimization and adjustment module is further specifically as follows: According to the feedback results of the strategy simulation and evaluation module, if it is found that there is room for improvement in the current outbound strategy, further optimize the strategy; through iterative adjustment and optimization search of strategy parameters, continuously try different scheme combinations to find the optimal outbound strategy that makes various KPI indicators reach the best balance state.

[0022] Furthermore, the execution and monitoring module is further specifically as follows: During the outbound process, real-time monitor the outbound progress of goods, the operation status of equipment, and the real-time location information of logistics distribution, and maintain a close communication connection with various equipment and systems on the warehouse site; promptly handle possible abnormal situations and dynamically adjust the outbound strategy according to the actual situation to ensure the smooth completion of the outbound task and the stable operation of the entire production supply chain.

[0023] Furthermore, the execution and monitoring module is further specifically as follows: Real-time feedback the actual execution data during the outbound process to the data integration interface module of the MOM system for subsequent data analysis and strategy optimization, forming a closed-loop continuous improvement mechanism.

[0024] Advantages of the present invention:

[0025] (1) By deeply integrating various data resources in the MOM system and applying advanced algorithms and intelligent decision-making logics, the present invention realizes the automatic generation and optimization of warehouse outbound strategies, improves the efficiency, accuracy, and flexibility of warehouse outbound, and provides strong support for the production and operation of manufacturing enterprises.

[0026] (2) The present invention can be deeply integrated with the manufacturing operation management system of enterprises, realizing the intelligence, automation and optimization of warehousing outbound decision-making, effectively solving the problems faced by traditional warehousing outbound methods, improving the production efficiency of enterprises, reducing costs, enhancing market competitiveness, and providing solid technical support for the sustainable development of manufacturing enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is the system principle block diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0028] The present invention will be further described below with reference to the accompanying drawings.

[0029] As Figure 1 shown, the present invention provides a warehousing outbound strategy engine system based on MOM, including an MOM data integration module, an outbound strategy module, a strategy simulation and evaluation module, a strategy optimization and adjustment module, and an execution and monitoring module;

[0030] MOM data integration module: Real-time collects and synchronizes production order information, obtains inventory data, and at the same time integrates quality inspection data to judge whether the goods meet the outbound conditions;

[0031] Outbound strategy module: Has a variety of intelligent outbound strategy units, including an outbound strategy unit driven by production demand, a shelf-life priority outbound strategy unit, an inventory cost optimization outbound strategy unit, and an order priority and logistics distribution collaborative outbound strategy unit;

[0032] Strategy simulation and evaluation module: After the outbound strategy is generated, constructs a virtual warehousing outbound environment model and simulates the operation of the strategy; Through the simulation operation, collects and analyzes a series of key performance indicators, and comprehensively and quantitatively evaluates the feasibility and effectiveness of the outbound strategy;

[0033] Strategy optimization and adjustment module: According to the feedback results of the strategy simulation and evaluation module, if it is found that there is room for improvement in the current outbound strategy, the strategy is further optimized;

[0034] Execution and monitoring module: Converts the optimized outbound strategy into actual operation instructions, seamlessly transmits them to the WMS warehousing management system and the automated equipment in the warehouse, drives them to work together, and completes the goods outbound operation according to the predetermined strategy.

[0035] The MOM data integration module is further specifically as follows: establish an efficient data connection channel with each functional module of the MOM system and the WMS warehouse management system; collect and synchronize production order information in real time, obtain inventory data, and at the same time integrate quality inspection data to determine whether the goods meet the outbound conditions; through data cleaning, transformation and standardization processing, integrate data from different data sources into a unified format to ensure data consistency and accuracy, and provide a reliable data basis for subsequent strategy analysis.

[0036] In the outbound strategy module,

[0037] Outbound strategy unit driven by production demand: According to the real-time material requirements on the production line, combined with production plans and bill of materials information, prioritize the supply of materials for key production links; through real-time monitoring of production progress and prediction of material consumption rates, accurately calculate the outbound quantity and time nodes of the required materials to ensure production continuity and avoid production line stoppages due to material shortages.

[0038] Outbound strategy unit with priority given to shelf life: For goods with shelf life restrictions, the MOM system tracks the remaining shelf life of the goods in real time. Under the premise of meeting order requirements, prioritize the outbound of goods with a shorter remaining shelf life to effectively reduce the risk of goods expiration losses and improve inventory turnover and asset utilization.

[0039] Outbound strategy unit for optimizing inventory costs: Considering factors such as inventory holding costs, storage costs, handling costs, and replenishment costs comprehensively, determine the outbound combination method with the lowest cost through data analysis and optimization.

[0040] Outbound strategy unit for coordinating order priority and logistics distribution: Combine the priority ranking of orders and the actual situation of logistics distribution resources to optimize the outbound order and distribution batch arrangements of goods; ensure that high-priority orders can be delivered to customers in a timely and accurate manner, and at the same time make full use of logistics capacity to reduce logistics costs.

[0041] In the outbound strategy module, according to the rules and weights preset by the enterprise and the real-time production and operation status, intelligently select and combine the above intelligent outbound strategy units to dynamically generate the most suitable outbound strategy plan for the current scenario.

[0042] The strategy simulation and evaluation module is further specifically as follows: After the outbound strategy is generated, construct a virtual warehouse outbound environment model and simulate the operation of the strategy; through the simulation operation, collect and analyze a series of key performance indicators to comprehensively and quantitatively evaluate the feasibility and effectiveness of the outbound strategy; compare and analyze the evaluation results with the target values and historical data set by the enterprise to determine whether the strategy meets the expected effect and provide data basis and direction for subsequent strategy optimization.

[0043] Specifically, the policy optimization and adjustment module further optimizes the policy according to the feedback results of the policy simulation and evaluation module if it is found that there is room for improvement in the current outbound policy; through iterative adjustment and optimization search of policy parameters, different solution combinations are continuously tried to find the optimal outbound policy that balances various KPI indicators to the best state.

[0044] Specifically, the execution and monitoring module further monitors the outbound progress of goods, the operating status of equipment, and the real-time location information of logistics distribution in real time during the outbound process, and maintains a close communication connection with various equipment and systems on the warehouse site; it promptly processes possible abnormal situations and dynamically adjusts the outbound policy according to the actual situation to ensure the smooth completion of the outbound task and the stable operation of the entire production supply chain.

[0045] Specifically, the execution and monitoring module further feeds back the actual execution data during the outbound process to the data integration interface module of the MOM system for subsequent data analysis and policy optimization, forming a closed-loop continuous improvement mechanism.

[0046] The present invention will be further described below in conjunction with a specific embodiment:

[0047] A warehousing outbound policy engine system based on MOM

[0048] 1. MOM data integration module:

[0049] Establish an efficient data connection channel with each functional module of the MOM system (such as production planning module, material requirements planning module, quality management module, etc.) and the warehousing management system (WMS).

[0050] Real-time collect and synchronize production order information, including order priority, quantity, delivery time requirements, as well as associated product production process routes and bill of materials (BOM) information; obtain inventory data, such as detailed information on the types, quantities, storage locations, receipt times, shelf lives, etc. of goods; at the same time, integrate quality inspection data to determine whether the goods meet the outbound conditions

[0051] Through data cleaning, transformation, and standardization processing, integrate data from different data sources into a unified format to ensure data consistency and accuracy, providing a reliable data basis for subsequent policy analysis.

[0052] 2. Outbound policy module:

[0053] Built-in multiple intelligent outbound policy units, covering:

[0054] Outbound strategy unit driven by production demand: According to the real-time material requirements on the production line, combined with the production plan and BOM information, it gives priority to ensuring the material supply for key production links. By monitoring the production progress in real time and predicting the material consumption rate, it accurately calculates the outbound quantity and time node of the required materials to ensure the continuity of production and avoid production line stoppages due to material shortages.

[0055] Shelf-life priority outbound strategy unit: For goods with shelf-life restrictions, the system tracks the remaining shelf-life of the goods in real time. On the premise of meeting order requirements, it gives priority to arranging the outbound of goods with a shorter remaining shelf-life, effectively reducing the risk of goods expiration losses and improving inventory turnover and asset utilization.

[0056] Inventory cost optimization outbound strategy unit: Considering factors such as inventory holding cost, storage cost, handling cost, and replenishment cost, through data analysis and algorithm optimization, it determines the outbound combination method with the lowest cost. For example, for goods with a large volume, occupying more storage space and a low inventory turnover rate, without affecting production and order delivery, it gives priority to arranging outbound to release warehouse space and reduce inventory cost expenditures.

[0057] Order priority and logistics distribution collaborative outbound strategy unit: Combining the priority ranking of orders (such as giving priority to urgent orders and large customer orders) and the actual situation of logistics distribution resources, it optimizes the outbound order and distribution batch arrangement of goods. Ensure that high-priority orders can be delivered to customers in a timely and accurate manner, while making full use of logistics capacity, reducing logistics costs, and improving customer satisfaction and corporate reputation.

[0058] It can intelligently select and combine the above strategy algorithms according to the rules and weights preset by the enterprise and the real-time production and operation status, and dynamically generate the most suitable outbound strategy plan for the current scenario. For example, during the peak production season, when production demand is tight and logistics capacity is relatively sufficient, it emphasizes the outbound strategy driven by production demand and the outbound strategy based on order priority; while in the off-season of sales, when inventory pressure is high, it focuses on the comprehensive application of the shelf-life priority outbound strategy and the inventory cost optimization outbound strategy to maximize the warehousing operation benefits.

[0059] 3. Strategy simulation and evaluation module:

[0060] After the outbound strategy is generated, a virtual warehousing outbound environment model is constructed to simulate the operation of the strategy. The simulation process covers all links from the extraction, handling, sorting, packaging to loading of goods in the warehouse, and at the same time considers the influence of actual factors such as the operating efficiency of warehouse equipment, the operation ability of personnel, the time and route of logistics transportation.

[0061] Through simulation runs, a series of key performance indicators (KPIs) are collected and analyzed, such as outbound time, inventory turnover rate, on-time order delivery rate, logistics cost, equipment utilization rate, goods loss rate, etc., to comprehensively and quantitatively evaluate the feasibility and effectiveness of the outbound strategy. The evaluation results are compared and analyzed with the target values set by the enterprise and historical data to determine whether the strategy achieves the expected effect, providing data basis and direction for subsequent strategy optimization.

[0062] 4. Strategy Optimization and Adjustment Module:

[0063] According to the feedback results of the strategy simulation and evaluation module, if it is found that there is room for improvement in the current outbound strategy, advanced optimization algorithms (such as genetic algorithm, simulated annealing algorithm, particle swarm optimization algorithm, etc.) are used to further optimize the strategy.

[0064] Through iterative adjustment and optimization search of strategy parameters (such as weight allocation of each strategy algorithm, adjustment of the batch and quantity of goods outbound, re-planning of logistics distribution routes, etc.), different solution combinations are continuously tried to find the optimal outbound strategy that makes each KPI indicator reach the best balance state. For example, on the premise of meeting certain requirements for on-time order delivery, by optimizing indicators such as inventory cost and equipment utilization rate, the overall operating cost of the enterprise is reduced and the efficiency is improved.

[0065] 5. Execution and Monitoring Module:

[0066] The optimized outbound strategy is transformed into actual operation instructions and seamlessly transmitted to the warehouse management system (WMS) and automated equipment in the warehouse (such as stacker equipment, AGV equipment, forklift equipment, etc.), driving them to work together to complete the goods outbound operation according to the predetermined strategy.

[0067] During the outbound process, the outbound progress of goods, the operating status of equipment, and the real-time location information of logistics distribution are monitored in real time, maintaining a close communication connection with various equipment and systems at the warehouse site. Abnormal situations that may occur, such as out-of-stock goods, equipment failures, logistics delays, etc., are promptly handled, and the outbound strategy is dynamically adjusted according to the actual situation to ensure the smooth completion of the outbound task and the stable operation of the entire production supply chain.

[0068] The actual execution data during the outbound process (such as actual outbound time, actual handling path of goods, actual operating parameters of equipment, actual logistics distribution time, etc.) is fed back to the MOM data integration interface module in real time for subsequent data analysis and strategy optimization, forming a closed-loop continuous improvement mechanism.

[0069] Through the close cooperation and collaborative work of the above-mentioned modules, the warehousing outbound strategy engine based on MOM in the present invention can be deeply integrated with the enterprise's manufacturing operation management system, realizing the intelligence, automation, and optimization of warehousing outbound decision-making, effectively solving the problems faced by traditional warehousing outbound methods, improving the production efficiency of enterprises, reducing costs, enhancing market competitiveness, and providing solid technical support for the sustainable development of manufacturing enterprises.

[0070] In another embodiment of the present invention,

[0071] 1. Deep integration of MOM system data

[0072] Establish tight data integration interfaces with key modules of the MOM system (production planning, material requirements planning, quality management, etc.) and the warehousing management system (WMS), enabling real-time and comprehensive acquisition of multi-source heterogeneous data, such as detailed information of production orders (including priority, quantity, delivery time, and associated product process routes and BOM), precise status of in-stock goods (type, quantity, location, receipt time, shelf life, etc.), and quality inspection results. Through the deep integration and analysis of this data, rich and accurate decision-making bases are provided for the formulation of outbound strategies, breaking the limitations of isolated and one-sided data in traditional warehousing outbound systems and achieving intelligent decision-making from the overall perspective of manufacturing operations.

[0073] 2. Integration of multiple intelligent outbound strategy algorithms

[0074] Innovatively integrate various advanced and practical outbound strategy algorithms based on production demand drive, shelf life priority, inventory cost optimization, order priority and logistics distribution coordination, etc. in one system. These algorithms are not simply piled up, but through a carefully designed rule and weight system, can be intelligently selected and combined according to the real-time production operation status, business characteristics, and management objectives of the enterprise. For example, during the peak production season, when production tasks are intense and logistics distribution is relatively smooth, the system automatically strengthens the strategies based on production demand drive and order priority to ensure the timely supply of materials in key production links and the priority shipment of high-priority orders; while in the off-season when inventory pressure is relatively high, it focuses on the strategies of shelf life priority and inventory cost optimization to effectively reduce the risk of goods expiration and inventory costs. This flexible algorithm combination method is one of the core innovations of the present invention, greatly improving the adaptability and accuracy of outbound strategies.

[0075] 3. Virtual simulation and optimization closed-loop mechanism

[0076] A simulation and evaluation module and a strategy optimization and adjustment module based on the virtual warehousing outbound environment model are constructed, forming a complete strategy optimization closed-loop. After generating the preliminary outbound strategy, by simulating the actual outbound process, considering complex actual factors such as the operating efficiency of warehouse equipment, personnel operation ability, logistics transportation time and routes, etc., key performance indicators (KPIs) such as outbound time, inventory turnover rate, order delivery timeliness rate, logistics cost, equipment utilization rate, and goods loss rate are collected and quantitatively analyzed. Based on the simulation evaluation results, advanced optimization algorithms such as genetic algorithm, simulated annealing algorithm, and particle swarm optimization algorithm are used to dynamically adjust and iteratively optimize the outbound strategy, continuously searching for the optimal strategy that makes each KPI index reach the best balance state. This virtual simulation and optimization closed-loop mechanism can fully verify and optimize the outbound strategy before actual execution, avoiding the problems of cost increase and low efficiency caused by blindly executing unreasonable strategies, and significantly improving the scientific and intelligent level of warehousing outbound management.

[0077] 4. Real-time Execution Monitoring and Feedback Adjustment

[0078] The execution and monitoring module is not only responsible for converting the optimized outbound strategy into actual operation instructions to drive the collaborative work of the warehousing management system and automated equipment, but also has powerful real-time monitoring capabilities. During the outbound process, it can real-time track the outbound progress of goods, the operating status of equipment, and the real-time location information of logistics distribution, and maintain a close communication connection with various equipment and systems on the warehouse site. Once abnormal situations such as out-of-stock of goods, equipment failures, and logistics delays occur, corresponding countermeasures can be immediately taken, such as dynamically adjusting the outbound strategy, reallocating resources, starting emergency replenishment, or changing the logistics route, etc., and the actual execution data is real-time fed back to the data integration interface module for subsequent data analysis and strategy optimization to ensure the smooth completion of the outbound task and the stable operation of the entire production supply chain. This real-time execution monitoring and feedback adjustment mechanism enables the system to quickly respond to various emergencies, ensuring the high efficiency and reliability of warehousing outbound operations, which is one of the important invention points that distinguish it from traditional static outbound management methods.

[0079] The advantages of the present invention are as follows:

[0080] 1. Significantly Improve Production Efficiency

[0081] Through the outbound strategy driven by production requirements, it accurately ensures the timely supply of materials required by the production line, avoids the phenomenon of production line shutdown due to material shortage, reduces production interruption time, improves equipment utilization rate and production continuity, thereby effectively improving the overall production efficiency. For example, in an automobile manufacturing enterprise, ensuring the on-time supply of key components on the production line can reduce the number of production line shutdowns by [X]% and increase the production capacity by more than [X]%.

[0082] 2. Reduce inventory costs

[0083] The inventory cost optimization outbound strategy can comprehensively consider multiple cost factors, such as inventory holding cost, storage cost, handling cost, and replenishment cost, and reasonably arrange the order and quantity of goods outbound, accelerate inventory turnover, and reduce inventory backlogs. Goods that occupy large space and are high in cost are given priority for outbound delivery, freeing up warehouse space and reducing inventory capital occupation. Practical application verification has proven that it can reduce the inventory cost of enterprises by about [X]%, increase inventory turnover by more than [X]%, and significantly improve the capital flow of enterprises.

[0084] 3. Enhance customer satisfaction

[0085] The order priority and logistics distribution coordinated delivery strategy ensures that high-priority orders can be delivered to customers quickly and accurately, while optimizing the use of logistics distribution resources, reducing the risk of logistics delays and cargo damage, and improving the timeliness and accuracy of order delivery. Customers can receive high-quality products on time, thereby enhancing their trust and satisfaction in the company, helping the company establish a good brand image, enhance market competitiveness, and promote the sustainable growth of the company's business.

[0086] 4. Reduce losses caused by expired goods

[0087] In industries that are sensitive to shelf life, such as food, medicine, and chemicals, the shelf life priority delivery strategy can monitor the remaining shelf life of goods in real time, prioritize the delivery of goods that are about to expire, effectively reduce the risk of expired goods, and improve the effective utilization of inventory goods. For example, by implementing this strategy, food companies have reduced the loss rate of expired goods by more than [X]%, reducing the company's economic losses while ensuring product quality and consumer rights.

[0088] 5. Improve the level of intelligent warehouse management

[0089] The entire warehouse delivery strategy engine system realizes the full process intelligence of warehouse delivery management through automated data collection, intelligent algorithm decision-making, virtual simulation optimization, and real-time execution monitoring and feedback adjustment. It reduces the subjectivity and error rate caused by manual intervention, improves the scientificity and accuracy of decision-making, enables warehouse management to better adapt to the rapid and changing production and operation needs of modern manufacturing, and provides strong support for the digital transformation and intelligent manufacturing development of enterprises.

[0090] 6. Optimize resource allocation

[0091] Through comprehensive consideration and optimized scheduling of warehouse equipment, human resources, logistics resources, etc., the utilization rate and synergy of resources are improved. For example, according to the equipment operation efficiency and the goods outbound plan, the work tasks and maintenance time of the equipment are reasonably arranged to avoid equipment idleness or overloaded operation; according to the logistics distribution capacity and order demand, the distribution route and vehicle loading plan are optimized to improve the utilization efficiency of logistics resources, reduce logistics costs while ensuring the timely delivery of goods, and achieve the optimized allocation of enterprise resources and the maximization of overall benefits.

[0092] The above are only the preferred embodiments of the present invention and should not be construed as limitations to this application. Any equivalent changes and modifications made in accordance with the scope of the patent application of the present invention shall fall within the scope of the present invention.

Claims

1. A MOM-based warehouse delivery strategy engine system, characterized in that: It includes MOM data integration module, outbound strategy module, strategy simulation and evaluation module, strategy optimization and adjustment module, and execution and monitoring module; MOM data integration module: real-time collection and synchronization of production order information, acquisition of inventory data, and integration of quality inspection data to determine whether the goods meet the conditions for shipment; Outbound strategy module: It has a variety of intelligent outbound strategy units, including outbound strategy units driven by production demand, outbound strategy units with priority on shelf life, outbound strategy units with optimized inventory cost, and outbound strategy units with coordinated order priority and logistics distribution. Strategy simulation and evaluation module: After the outbound delivery strategy is generated, a virtual warehouse outbound delivery environment model is constructed to simulate the strategy. Through the simulation operation, a series of key performance indicators are collected and analyzed to conduct a comprehensive and quantitative evaluation of the feasibility and effectiveness of the outbound delivery strategy. Strategy optimization and adjustment module: Based on the feedback from the strategy simulation and evaluation module, if it is found that there is room for improvement in the current outbound strategy, the strategy will be further optimized; Execution and monitoring module: converts the optimized outbound delivery strategy into actual operation instructions, seamlessly transmits them to the WMS warehouse management system and the automated equipment in the warehouse, drives them to work together, and completes the goods outbound operation according to the predetermined strategy.

2. According to the MOM-based warehousing and outbound strategy engine system according to claim 1, it is characterized in that: The MOM data integration module is further specified as follows: establishing an efficient data connection channel with each functional module of the MOM system and the WMS warehouse management system; collecting and synchronizing production order information in real time, obtaining inventory data, and integrating quality inspection data to determine whether the goods meet the conditions for shipment; through data cleaning, conversion and standardization, integrating data from different data sources into a unified format to ensure data consistency and accuracy, and providing a reliable data basis for subsequent strategy analysis.

3. A MOM-based warehouse outbound strategy engine system according to claim 1, characterized in that: In the outbound strategy module, Production demand-driven outbound strategy unit: Based on the real-time material demand on the production line, combined with the production plan and bill of materials information, prioritize the material supply of key production links; through real-time monitoring of production progress and prediction of material consumption rate, accurately calculate the outbound quantity and time node of the required materials, ensure production continuity, and avoid production line shutdowns due to material shortages; Shelf life priority delivery strategy unit: For goods with shelf life restrictions, the MOM system tracks the remaining shelf life of the goods in real time. On the premise of meeting order requirements, it prioritizes the delivery of goods with a shorter remaining shelf life, effectively reducing the risk of loss due to expiration of goods and improving inventory turnover and asset utilization; Inventory cost optimization outbound strategy unit: comprehensively considers inventory holding cost, storage cost, handling cost and replenishment cost factors, and determines the lowest cost outbound combination through data analysis and optimization; Order priority and logistics distribution collaborative outbound strategy unit: Combine order priority sorting with the actual situation of logistics distribution resources to optimize the outbound order and delivery batch arrangement of goods; ensure that high-priority orders can be delivered to customers in a timely and accurate manner, while making full use of logistics capacity and reducing logistics costs.

4. A MOM-based warehouse outbound strategy engine system according to claim 3, characterized in that: The outbound delivery strategy module is further specified as intelligently selecting and combining the above-mentioned intelligent outbound delivery strategy units according to the rules and weights pre-set by the enterprise and the real-time production and operation status, and dynamically generating the outbound delivery strategy solution that best suits the current scenario.

5. A MOM-based warehouse delivery strategy engine system according to claim 1, characterized in that: The strategy simulation and evaluation module is further specified as follows: after the outbound delivery strategy is generated, a virtual warehouse outbound delivery environment model is constructed to simulate the strategy; through the simulation operation, a series of key performance indicators are collected and analyzed to conduct a comprehensive and quantitative evaluation of the feasibility and effectiveness of the outbound delivery strategy; the evaluation results are compared and analyzed with the target values ​​and historical data set by the enterprise to determine whether the strategy has achieved the expected results, providing data basis and direction for subsequent strategy optimization.

6. A MOM-based warehouse delivery strategy engine system according to claim 1, characterized in that: The strategy optimization and adjustment module is further specified as follows: based on the feedback results of the strategy simulation and evaluation module, if it is found that there is room for improvement in the current delivery strategy, the strategy is further optimized; through iterative adjustment and optimization search of strategy parameters, different scheme combinations are continuously tried to find the optimal delivery strategy that makes various KPI indicators reach the best balance state.

7. A MOM-based warehouse outbound strategy engine system according to claim 1, characterized in that: The execution and monitoring module is further specified as follows: during the outbound delivery process, real-time monitoring of the outbound delivery progress of goods, the operating status of equipment, and the real-time location information of logistics distribution is performed, and close communication connections are maintained with various equipment and systems at the warehouse site; abnormal situations that may arise are handled in a timely manner, and the outbound delivery strategy is dynamically adjusted according to actual conditions to ensure the smooth completion of the outbound delivery task and the stable operation of the entire production supply chain.

8. A MOM-based warehouse delivery strategy engine system according to claim 7, characterized in that: The execution and monitoring module is further specified as feeding back the actual execution data in the outbound delivery process to the data integration interface module of the MOM system in real time for subsequent data analysis and strategy optimization, thereby forming a closed-loop continuous improvement mechanism.

Images