A new meta-heuristics for optimum design of loop layout in flexible manufacturing system with integrated scheduling

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• 作者：K. Mallikarjuna ; V. Veeranna…
• 刊名：The International Journal of Advanced Manufacturing Technology
• 出版年：2016
• 出版时间：June 2016
• 年：2016
• 卷：84
• 期：9-12
• 页码：1841-1860
• 全文大小：1,287 KB
• 刊物类别：Engineering
• 刊物主题：Industrial and Production Engineering
  Production and Logistics
  Mechanical Engineering
  Computer-Aided Engineering and Design
  
• 出版者：Springer London
• ISSN：1433-3015
• 卷排序：84

文摘

Flexible manufacturing system is the inception of an innovative manufacturing revolution that will credibly lead the manufacturing trade to levels of automation which is to be taken granted currently in the process-related industries. This paper speaks about multi-objective optimization related to flexible manufacturing systems (FMS) scheduling which act as a constraint in configuring the loop layout in optimum manner by various algorithms, i.e., meta-heuristics like genetic algorithm (GA), simulated annealing (SA), etc. The various loop layout problems are tested for enactment of objective function with respect to computational time and number of iterations involved in GA and SA. A simulation code is generated using programming language and executed using integrated development environment (IDE) tool. A comparative analysis of simulation results of different meta-heuristics with literature results has been done. The performance of this GA is proved to be the best among all the algorithms considered for this work.KeywordFlexible manufacturing systemsLoop layoutGenetic algorithmSimulated annealingIDE tool