Intelligent Manufacturing - Manufacturing Execution MES System


The Manufacturing Execution System (MES, Manufacturing Execution System) is the foundation, core, and soul of intelligent manufacturing. It covers the entire production process of intelligent manufacturing and is closely connected with all business activities of manufacturing enterprises. It can provide enterprises with management modules including manufacturing data management, scheduling management, production dispatch management, inventory management, quality management, human resource management, work center/equipment management, tooling management, procurement management, cost management, project dashboard management, production process control, bottom-layer data integration and analysis, and top-layer data integration and decomposition. This creates a solid, reliable, comprehensive, and feasible manufacturing collaborative management platform for the enterprise.

Scenario One: Company A is a medium to small traditional manufacturer of automotive parts, planning to implement an MES (Manufacturing Execution System) information management system. Firstly, to address issues such as inaccurate delivery cycle calculations, long delivery cycles, inadequate tracking of production orders, and difficulty in controlling production plans due to the lack of a production information management system. Secondly, in accordance with government document requirements, to achieve integration with the dual-carbon management big data platform in City Q. This project adopts the mainstream front-end and back-end separation architecture, utilizing the technical system of Vue+SpringBoot+MySQL for modular collaborative development. Through practical training on this project, not only has the comprehensive project development capability been enhanced, but also experience in project development business processes and team collaborative development has been accumulated. It has not only consolidated the methods of using mainstream technologies to solve actual project problems but also accumulated business development experience in the manufacturing industry.

Technology Stack: Vue, Vue-Router, Vuex, Axios, ElementUI, SASS, Spring, MyBatis, SpringBoot, MySQL.

Course Products: Basic UI Design, HTML5 and CSS3 Programming, JavaScript Programming, Vue Application Development, MySQL Database, Java EE Enterprise Application Development (SSM).

Project Products: Manufacturing Execution MES System, Supply Chain Management System, Intelligent Warehouse Management System (WMS), Dual Carbon Bidding Website, Dual Carbon System Data Visualization, Applied Software System Development Course Practical Training Project, JavaEE-based MES Manufacturing Execution System Combat Training, MySQL-based MES Manufacturing Execution System Database Design Combat Training.

Product Advantages:

1.Practical Operation: Students can operate and manage the production process through the use of MES system products, thereby enhancing their understanding and application ability of actual industrial environment business.

2.Cross-Business Integration: The MES system product involves multiple business scenarios such as production planning, supply chain management, and quality management, which can help students integrate knowledge from different business scenarios and truly understand the comprehensiveness of the production system.

3.Real-time Monitoring and Data Analysis: Students can monitor the production process in real time and conduct data analysis through the MES system product, thereby improving their problem-solving and decision-making abilities.

4.Innovative Teaching Methods: By designing a systematic approach, integrating software and hardware, multi-form interaction, and multi-level application, a practical course training system that is close to the industry and integrated into life is constructed. This helps students recognize career development paths, set phased goals, enhance the sense of learning acquisition, and stimulate internal motivation for learning.

5.Case Study in Real Situations: By using real production cases and data, students can better understand the challenges and opportunities in enterprise production, thereby improving their problem-solving abilities.

相关阅读