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Design And Implementation Of Production Scheduling System In Flexible Job

Posted on:2018-10-25Degree:MasterType:Thesis
Country:ChinaCandidate:Q DingFull Text:PDF
GTID:2322330518974768Subject:Systems analysis and integration
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With the continuous development of the industrial internet technology,traditional workshop production mode of flexible manufacturing enterprises is facing a great challenge.In order to be a winner in the market competition,flexible manufacturing enterprises must improve the production efficiency with limited production resources.The production scheduling is a key technology of the flexible workshop,and a reasonable scheme of the production scheduling can improve the production efficiency,save resources,and further enhance the market competitiveness of the enterprises.In China,there are some achievements of production scheduling in the flexible workshop have been made.However,some deficiencies still exist,including the informatization management of production scheduling,the flexibility of production equipment and technology,and the optimal production performance.Therefore,the research of production scheduling and the implemention of corresponding system are of great importance for theoretical significance and engineering practice.The research status and development trend of production scheduling problem in flexible workshop are analyzed.A model that satisfies the process constraints is constructed according to the production scheduling problem,and a dynamic multi-strategy based differential evolutionary algorithm is designed for solving the model.The function requirements and process characteristics of the teaching equipment production line in the flexible workshop are analyzed.Further,with the framework of AngularJS,SSH and PostgreSQL used,a production scheduling system in the flexible job is designed and implemented under the standard of J2 EE.Main works and achievements of this dissertation are listed as follows:(1)The background and significance of the flexible manufacturing and the flexible workshop scheduling problem are summarized.The research status of the flexible manufacturing system,the manufacturing execution system of information integration platform,and the production scheduling problem of the flexible workshop are descriped.The concept of the production scheduling problem and its optimization objectives are analyzed.(2)The production scheduling model which satisfies the process constraints is constructed.The minimized maximum completion time of the total product processing in the flexible workshop production line is defined as the objective function,where the maximum completion time of the total product processing is the last process of the last processed product on the last machine.The production scheduling is optimized by arranging the processing sequence of each product.(3)A dynamic multi-strategy based differential evolutionary algorithm is proposed in this paper.Firstly,the process of the product is coded for transforming the discrete process of the production scheduling problem to a continuous one.Then,the mutation strategy is dynamically selected according to the distance between individuals in the population for guiding the searching process of the algorithm.Finally,the process order of the product can be determined by decoding the obtained optimal solution.The optimal processing steps of production scheduling can be selected according to the minimized maximum completion time.(4)The system function and information requirement are analyzed,and the function modules of the production scheduling system are designed in detail.The hierarchical structure is designed as the system architecture,which includes data access layer,business logic layer,and presentation layer.The corresponding function modules of the production scheduling system for teaching and training equipment in the flexible workshop are designed on the basis of AngularJS,SSH,and PostgreSQL framework.Finally,test cases and the practical application show the practicability of the designed system.
Keywords/Search Tags:production scheduling, combinatorial optimization, differential evolutionary, flexible manufacturing
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