Production optimization scheduling engine system based on manufacturing operation management

Abstract

The invention relates to the technical field of manufacturing and industrial automation, in particular to a production optimization scheduling engine system based on manufacturing operation management, which comprises a data acquisition and data warehouse module, a data bus module, an algorithm scheduling module, a real-time monitoring and dynamic adjustment module and a visual display and interaction module. Various data in the production process are collected, analyzed and processed in real time, optimal scheduling of production tasks is achieved, the system can adapt to different production environments, and the production efficiency is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of manufacturing and industrial automation, and particularly relates to a production optimization scheduling engine system based on manufacturing operation management. Background Art

[0002] In today's manufacturing industry, production scheduling is a key link to ensure efficient and orderly production. Traditional production scheduling methods often rely on manual experience or simple rule algorithms, and it is difficult to cope with complex and changeable production environments. With the acceleration of the digital transformation of the manufacturing industry, factors such as order requirements, equipment status, material supply, and personnel allocation involved in the production process have become increasingly complex.

[0003] The limitations of traditional scheduling methods are becoming increasingly prominent, such as frequent problems of low production efficiency, serious resource waste, and difficulty in guaranteeing delivery dates.

[0004] Therefore, developing an engine that can real-time sense the production status and perform optimized scheduling according to various constraints is of great significance for improving the production efficiency and competitiveness of the manufacturing industry. Summary of the Invention

[0005] In order to solve the problems in the existing production scheduling system, which often rely on manual experience or simple rule algorithms, are difficult to cope with complex and changeable production environments, and have low production efficiency, the present invention provides a production optimization scheduling engine system based on manufacturing operation management. By collecting, analyzing, and processing various types of data in the production process in real time, it realizes the optimized scheduling of production tasks, can adapt to different production environments, and improves production efficiency.

[0006] The technical solution of the present invention is as follows:

[0007] A production optimization scheduling engine system based on manufacturing operation management, comprising a data collection and data warehouse module, a data bus module, an algorithm scheduling module, a real-time monitoring and dynamic adjustment module, and a visualization display and interaction module;

[0008] The data collection and data warehouse module is used to connect with the existing production system of the enterprise and collect the data of the existing production system of the enterprise, and clean, transform, and sort out the collected data;

[0009] The data bus module is mainly responsible for data interaction and communication with the existing production system of the enterprise;

[0010] The algorithm scheduling module is connected to the data collection and data warehouse module. The algorithm scheduling module quickly calculates the optimal or approximately optimal production scheduling plan according to the data of the data collection and data warehouse module;

[0011] The real-time monitoring and dynamic adjustment module is connected to the data bus module. It continuously monitors the actual execution situation at the production site and can transmit the production scheduling plan through the data bus module. The real-time monitoring and dynamic adjustment module is also connected to the algorithm scheduling module and can call the algorithm scheduling module to obtain the production scheduling plan and the received production scheduling plan.

[0012] The visualization display and interaction module is connected to the data bus module and the data collection and data warehouse module, and is used to visually display the data collected by the data bus module and the data collection and data warehouse module.

[0013] Furthermore, the data collection and data warehouse module uses ETL technology to clean, transform, and sort the heterogeneous data collected, and stores it in the data warehouse.

[0014] Furthermore, the data bus module can send the data adjusted by the real-time monitoring and dynamic adjustment module to the existing production system of the enterprise, and synchronously return the results executed by the production system.

[0015] Furthermore, in the algorithm scheduling module, a heuristic algorithm and an operations research model are combined with the actual production constraints to construct a scheduling calculation rule engine; the production scheduling plan includes the allocation of production tasks, the arrangement of production sequences, the usage plan of equipment, and the scheduling arrangement of personnel.

[0016] Furthermore, once the real-time monitoring and dynamic adjustment module discovers that the actual production is inconsistent with the scheduling plan, the system automatically triggers the dynamic adjustment mechanism, calls the algorithm of the algorithm scheduling module to re-optimize the scheduling plan, and sends the adjusted plan to the production site.

[0017] Furthermore, the forms of visual display in the visualization display and interaction module include data display in the form of Gantt charts, reports, and graphs, and operators and managers can perform human-computer interaction through this visualization display and interaction module.

[0018] Furthermore, the visualization display and interaction module includes a mobile application, and managers and operators can view production scheduling information, receive warning notifications, and perform scheduling operations through the mobile application.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] (1) A production optimization scheduling engine system designed by the present invention, through real-time collection, analysis, and processing of various types of data in the production process, realizes the optimal scheduling of production tasks, improves production efficiency, reduces production costs, and ensures the on-time delivery of orders.

[0021] (2) Multi-source data fusion and in-depth analysis: Innovatively integrate multi-source data in the enterprise production process, not only realizing centralized data management, but also mining potential production optimization opportunities through in-depth data analysis to provide comprehensive and accurate data support for scheduling.

[0022] Hybrid algorithm optimization: Combine the advantages of various heuristic algorithms and operations research models, dynamically adjust algorithm parameters and model structures according to different production scenarios and requirements to achieve rapid optimization of production scheduling plans.

[0023] (3) Real-time dynamic scheduling and adaptive adjustment: Monitor changes in the production site in real time, with the ability of rapid response and adaptive adjustment. When production anomalies occur, it can quickly generate new scheduling plans to effectively reduce production interruption time and losses.

[0024] (4) Visual interaction and collaborative management: Through visual display and interactive interfaces, break information barriers, realize collaborative work among personnel in all production links, and improve the efficiency and transparency of production management.

[0025] (5) Improve production efficiency: Through optimized scheduling, reasonably arrange production tasks and resources, reduce equipment idle time and production waiting time, and improve production efficiency.

[0026] (6) Reduce production costs: Optimize material and personnel allocation, avoid resource waste, and reduce inventory costs and labor costs.

[0027] (7) Ensure order delivery: Improve the accuracy and flexibility of production plans, effectively respond to order changes and production anomalies, and improve the on-time delivery rate of orders. Description of the Drawings

[0028] Figure 1 It is a schematic diagram of the present invention; Detailed Embodiment

[0029] The present invention will be described in detail below with reference to the drawings and specific embodiments.

[0030] See Figure 1 , a production optimization scheduling engine system based on manufacturing operation management, including a data collection and data warehouse module, a data bus module, an algorithm scheduling module, a real-time monitoring and dynamic adjustment module, and a visual display and interaction module;

[0031] The data collection and data warehouse module is used to connect with the existing enterprise production system, collect data from the existing enterprise production system, and clean, transform and sort the collected data;

[0032] The data bus module is mainly responsible for data interaction and communication with the existing enterprise production system;

[0033] The algorithm scheduling module is connected to the data collection and data warehouse module. The algorithm scheduling module quickly calculates an optimal or approximately optimal production scheduling plan based on the data of the data collection and data warehouse module.

[0034] The real-time monitoring and dynamic adjustment module is connected to the data bus module. It continuously monitors the actual execution situation at the production site and can transmit the production scheduling plan through the data bus module. The real-time monitoring and dynamic adjustment module is also connected to the algorithm scheduling module and can call the algorithm scheduling module to obtain the production scheduling plan and the received production scheduling plan.

[0035] The visualization display and interaction module is connected to the data bus module and the data collection and data warehouse module, and is used to visually display the data collected by the data bus module and the data collection and data warehouse module.

[0036] The present invention will be further described below:

[0037] Data collection and data warehouse module: By docking with the enterprise's existing production systems (such as ERP, MES, WMS, SCM, EMS, QMS, etc.), it real-time collects order information, equipment operation data, material inventory data, personnel working hours data, etc. Using ETL (Extract, Transform, Load) technology, the collected heterogeneous data is cleaned, transformed, and sorted, and stored in the data warehouse for subsequent analysis and processing.

[0038] The heterogeneous data of the present invention can be stored in the database in the data format defined by us through preprocessing, which is convenient for subsequent calculations; heterogeneous data refers to multi-structured data, such as pictures, texts, etc.

[0039] Data bus module: The data bus is mainly responsible for data interaction and communication with the enterprise's existing production systems (such as ERP, MES, WMS, SCM, EMS, QMS, etc.). When data adjustment is required, it is sent to the enterprise's existing production systems through the bus, and the results of the production system execution are synchronously returned.

[0040] Algorithm scheduling module: Adopting advanced heuristic algorithms (such as genetic algorithms, simulated annealing algorithms, tabu search algorithms, etc.) and operations research models (such as linear programming, integer programming, etc.), combined with the actual production constraints (such as equipment production capacity, material supply time, personnel skills and scheduling, etc.), a scheduling calculation rule engine is constructed. This model can quickly calculate an optimal or approximately optimal production scheduling plan based on the input production data, including the allocation of production tasks, the arrangement of production sequences, the usage plan of equipment, and the scheduling arrangement of personnel.

[0041] Real-time Monitoring and Dynamic Adjustment Module: Utilize real-time data collection technology to continuously monitor the actual execution status at the production site. Once a deviation is detected between the actual production and the scheduling plan (such as equipment failures, material delays, order changes, etc.), the system automatically triggers the dynamic adjustment mechanism, re-optimizes the scheduling plan, and promptly issues the adjusted plan to the production site to ensure the continuity and stability of the production process.

[0042] Visualization Display and Interaction Module: Develop an intuitive visualization interface to display information such as production scheduling plans, real-time production progress, equipment status, and material consumption in the form of Gantt charts, reports, and graphs. Operators and managers can conduct human-machine interaction through this interface, such as manually adjusting the scheduling plan, querying production data, and receiving system warning information, to improve the convenience and flexibility of production management.

[0043] The above are only embodiments of the present invention, and thus do not limit the patent scope of the present invention. Any equivalent structural or equivalent process transformations made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, are similarly included in the patent protection scope of the present invention.

Claims

1. A production optimization scheduling engine system based on manufacturing operations management, characterized in that It includes a data collection and data warehouse module, a data bus module, an algorithm scheduling module, a real-time monitoring and dynamic adjustment module, and a visualization display and interaction module; The data collection and data warehouse module is used to connect with the enterprise's existing production system, collect the data of the enterprise's existing production system, and clean, transform, and sort the collected data; The data bus module is mainly responsible for data interaction and communication with the enterprise's existing production system; The algorithm scheduling module is connected to the data collection and data warehouse module. The algorithm scheduling module quickly calculates the optimal or near-optimal production scheduling plan based on the data of the data collection and data warehouse module; The real-time monitoring and dynamic adjustment module is connected to the data bus module. It continuously monitors the actual execution situation at the production site and can transmit the production scheduling plan through the data bus module. The real-time monitoring and dynamic adjustment module is also connected to the algorithm scheduling module and can call the algorithm scheduling module to obtain the production scheduling plan and the received production scheduling plan; The visualization display and interaction module is connected to the data bus module and the data collection and data warehouse module, and is used to visually display the data collected by the data bus module and the data collection and data warehouse module.

2. The production optimization scheduling engine system based on manufacturing operation management according to claim 1, characterized in that, The data collection and data warehouse module cleans, transforms, and sorts the collected heterogeneous data through ETL technology and stores it in the data warehouse.

3. The production optimization scheduling engine system based on manufacturing operation management according to claim 1, characterized in that The data bus module can send the data adjusted by the real-time monitoring and dynamic adjustment module to the enterprise's existing production system and synchronously return the execution results of the production system.

4. The production optimization scheduling engine system based on manufacturing operation management according to claim 1, wherein In the algorithm scheduling module, a heuristic algorithm and an operations research model are combined with the actual production constraints to construct a scheduling calculation rule engine; the production scheduling plan includes the allocation of production tasks, the arrangement of production sequences, the usage plan of equipment, and the scheduling arrangement of personnel.

5. A production optimization scheduling engine system based on manufacturing operation management according to claim 1, characterized in that Once the real-time monitoring and dynamic adjustment module finds that the actual production is inconsistent with the scheduling plan, the system automatically triggers the dynamic adjustment mechanism, calls the algorithm of the algorithm scheduling module to re-optimize the scheduling plan, and sends the adjusted plan to the production site.

6. The production optimization scheduling engine system based on manufacturing operation management according to claim 1, characterized in that, In the visualization display and interaction module, the forms of visual display include data display in Gantt charts, reports, and charts. Operators and managers can conduct human-computer interaction through this visualization display and interaction module.

7. A production optimization scheduling engine system based on manufacturing operation management according to claim 1 or 6, characterized in that The visualization display and interaction module includes a mobile application. Managers and operators can view production scheduling information, receive warning notifications, and perform scheduling operations through the mobile application.

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