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作 者:Hai-Qing Chen Yu-De Dong Fei Hu Ming-Ming Liu Shi-Bao Zhang
机构地区:[1]School of Mechanical Engineering,Hefei University of Technology,Hefei 230009,China [2]China Railway Materials Group Resources Technology Co.,Ltd.,Hefei 230088,China
出 处:《Visual Computing for Industry,Biomedicine,and Art》2023年第1期88-96,共9页工医艺的可视计算(英文)
基 金:the Research on Key Technology of Dismantling Railway Scrap Freight Cars,No.W2021JSFW0236.
摘 要:Based on the existing plant layout and process flow,a simulation analysis was conducted using the Plant Simulation platform with the utilization efficiency of each station and production capacity of the dismantling system as indicators.A problem with long-term suspension in the disassembly process was determined.Based on the two optimization directions of increasing material transportation equipment and expanding the buffer capacity,a cost-oriented optimization model is established.A genetic algorithm and model simulation were used to solve the model.An optimization scheme that satisfies the production needs and has the lowest cost is proposed.The results show that the optimized dismantling system solves the suspended work problem at the dismantling station and a significant improvement in productivity and station utilization efficiency compared with the previous system.
关 键 词:Plant Simulation Production optimization Wagon dismantling Genetic algorithm
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