Cell Forming and Cell Balancing of Virtual Cellular Manufacturing Systems with Alternative Processing Routes Using Genetic Algorithm
Publish Year: 1395
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JOIE-9-20_005
تاریخ نمایه سازی: 22 آبان 1397
Abstract:
Cellular manufacturing (CM) is one of the most important subfields in the design of manufacturing systems. As a recently emerged field ofstudy and practice, virtual cellular manufacturing (VCM) is of enormous importance as one of the types of CM . One kind of VCM problems is VCM with alternative processing routes from which the route for processing each part should be selected. In this study, a biobjective mathematical programming model is designed in order to obtain optimal routing of parts, the layout of machines and the assignment of cells to locations while minimizing the production costs and balancing the cell loads. The proposed mathematical model is solved by multi-choice goal programming (MCGP). Since CM models are NP-Hard, a genetic algorithm (GA) is utilized to solve the model for large-sized problem instances and the results obtained from both methods are compared. Finally, a conclusion is reached and some suggestions for future works are offered.
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Authors
Adib Hosseini
MSc, Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
Mohammad Mahdi Mohammad Mahdi
Assistant Professor, Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran
Iraj Mahdavi
Professor, Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
Javid Jouzdani
PhD, Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran