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Location Selection and Scheduling Optimization of Material Storage in Manufacturing Workshop
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作者 ZENG Guoqiang LIU Li +1 位作者 SHENG Lei BAI Nan 《International Journal of Plant Engineering and Management》 2019年第4期206-218,共13页
Based on improved immune algorithm, the location of material storage in manufacturing workshop is studied. Intelligent optimization algorithms include particle swarm optimization algorithm, genetic selection algorithm... Based on improved immune algorithm, the location of material storage in manufacturing workshop is studied. Intelligent optimization algorithms include particle swarm optimization algorithm, genetic selection algorithm, simulated annealing algorithm, tabu search algorithm and so on. According to the non-linear constraints, the objective function is established to solve the minimum energy consumption of material distribution. The improved immune algorithm can solve the complex problem of manufacturing workshop, and the material storage location and scheduling scheme can be obtained by combining simulation software. Scheduling optimization involves material warehousing, sorting, loading and unloading, handling and so on. Using the one-to-one accurate distribution principle and MATLAB software to simulate and analyze, the location of material warehousing in manufacturing workshop is determined, and the material distribution and scheduling are studied. 展开更多
关键词 immune algorithm manufacturing workshop material storage location MATLAB scheduling optimization
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