Platform-based intelligent MES

Abstract

The invention provides a platform-based intelligent MES (Manufacturing Execution System). The system includes a business domain model base and an integrated collaborative manufacturing subsystem. The business domain model base is used for storing a business model, a domain model and a database model. The business model includes the corresponding requirements and associations of personnel, technology, materials, equipment, tooling and test. The domain model includes the work dependence and decomposition relations, the association between work and material and production units, and a field problem component. The database model stores relevant data and data associations in the business model and in the domain model. The integrated collaborative manufacturing subsystem makes an operation plan based on the data and data association in the business domain model base, and manages and schedules the whole operation process. Through a business domain model, all kinds of basic models can be specified, and the association relation can be established. The integrated collaborative manufacturing subsystem executes production planning and management scheduling.

Description

technical field [0001] The invention relates to the technical field of industrial production scheduling, in particular to a platform-based intelligent manufacturing MES system. Background technique [0002] MES (Manufacturing Execution System, Manufacturing Execution System) mainly solves the problem of the execution layer between the planning layer and the equipment control layer of manufacturing enterprises, and builds a bridge between the planning layer and the underlying control layer. But there are still the following problems and shortcomings: [0003] 1) Large amount of industry customization development: There are many industries, including machining, large-scale assembly, electrical equipment, thermal engineering, casting, optics, etc. The management difficulties of each industry are different, and traditional MES software is difficult to adapt to the management characteristics of multiple industries. [0004] This is due to the lack of abstraction of industry know...

AI Technical Summary

Problems solved by technology

[0003] 1) Large amount of industry customization development: There are many industries, including machining, large-scale assembly, electrical equipment, thermal engineering, casting, optics, etc. The management difficulties of each industry are different, and traditional MES software is difficult to adapt to the management characteristics of multiple industries

[0004] This is due to the lack of abstraction of industry knowledge and imperfect software model design, resulting in software architecture that cannot adapt to the management characteristics of multiple industries, and the lack of a software platform based on industry models, resulting in poor industry applicability and secondary development workload. Big

[0005] 2) The plan cannot go ahead: it is impossible to achieve multi-objective scheduling based on limited capacity, the planning is laborious and unscientific, the load is unbalanced, and the predictability is poor, and the dynamic resource scheduling based on workshop materials, equipment, and tools cannot be realized. Dynamic capacity balancing, which affects plan implementability

[0006] This is because there is no excellent APS production scheduling tool, and it is impossible to achieve fast and scientific production scheduling with limited capabilities and multiple objectives, resulting in poor plan execution

After the plan is dispatched to the on-site operation team, it cannot be implemented smoothly due to resource constraints such as materials, tools, and equipment

[0007] 3) The information cannot be uploaded: the traditional MES cannot realize the monitoring and automatic collection of the equipment control layer, which affects the real-time and accuracy of information feedback

[0008] This is due to the lack of a monitoring and collection system for the equipment control layer, resulting in that the bottom layer information cannot be automatically fed back to the MES system, and the information is fed back manually, the accuracy of the information cannot be guaranteed, and the timeliness is not high

[0009] 4) Poor production coordination: unable to achieve the coordinated operation of various functional departments in the workshop, and unable to ensure the smooth implementation of the plan

[0010] This is due to the fact that the workshop planning operation depends on the collaboration of its various functional departments. For example, due to the limitations of factors such as materials, tools, fixtures, and equipment availability in plan preparation, there is no information system to provide multi-department collaborative production management, and information cannot be achieved. Communicate to all functional departments in a timely manner

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