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   Multi-objective optimization of electronic product goods location assignment in stereoscopic warehouse based on adaptive genetic algorithm  
   
نویسنده Yan Bo ,Yan Chang ,Long Feng ,Tan Xing-Chao
منبع journal of intelligent manufacturing - 2018 - دوره : 29 - شماره : 6 - صفحه:1273 -1285
چکیده    Storage is an important part of commodity circulation. a certain amount of material must be stored to meet the needs of social production and consumption within a certain time to maintain the smooth process of social reproduction. this study focuses on warehousing optimization and goods location assignment when electronic products are stored in a stereoscopic storehouse. moreover, this study is based on a theoretical study on genetic algorithm. on the basis of the background of the current warehouse management and cargo distribution of lcm module products warehouse belonging to w company, this study uses the dynamic goods location assignment strategy of stochastic inventory, and builds a multi-objective goods location assignment model of a stereoscopic warehouse. to simplify the calculations and improve the efficiency, we conduct a matlab simulation on the basis of practical data by adopting a modified genetic operator and converting multi-objective optimization by the changing weight coefficient. the adaptive genetic algorithm can be used to make a multi-objective goods location assignment model that efficiently converges to the optimal solution.
کلیدواژه Stereoscopic warehouse ,Warehousing goods location assignment ,Goods location optimization ,Adaptive genetic algorithm
آدرس South China University of Technology, China, South China University of Technology, China, South China University of Technology, China, South China University of Technology, China
 
     
   
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