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Aiming at the problem that students lack business practice participation in different industries in production management experimental teaching, we put forward a production management experimental teaching platform which integrates multiple industry data sources. The platform separats the system database from multiple business database and constructs a multi-level platform service technology architecture. The platform is constructed by using SaaS (Software as a Service) model. Using the workflow technology to complete templated business process modeling, it implements the whole process simulation of enterprise production management, and involves multiple industries and roles. Finally, we verify the feasibility and applicability of production management experimental teaching platform by taking motor manufacturing industry as an example. [ABSTRACT FROM AUTHOR]

To deal with the problem that many products in discrete manufacturing factories had flexible process design which had increased the complexity of scheduling, this paper proposed the FPJSP as an extension of JSP, and built the mathematical model for the new scheduling problem to shorten the production cycle. It proposed the hybrid genetic algorithm (HGA) to solve the model. According to the characteristics of FPJSP, it designed the genetic algorithm (GA) with improved chromosome encoding schema and genetic operators. In combination with the variable neighborhood search algorithm (VNS), it designed four neighborhood structures to enable dynamic neighborhood search and improve the neighborhood search performance of GA. The experiment shows the effectiveness and optimize performance of the proposed HGA for solving FPJSP. [ABSTRACT FROM AUTHOR]