Solving a new bi-objective model for a cell formation problem considering labor allocation by multi-objective particle swarm optimization
محل انتشار: ماهنامه بین المللی مهندسی، دوره: 24، شماره: 7
سال انتشار: 1390
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 119
فایل این مقاله در 10 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJE-24-7_004
تاریخ نمایه سازی: 17 بهمن 1400
چکیده مقاله:
Mathematical programming and artificial intelligence (AI) methods are known as the most effective and applicable procedures to form manufacturing cells in designing a cellular manufacturing system (CMS). In this paper, a bi-objective programming model is presented to consider the cell formation problem that is solved by a proposed multi-objective particle swarm optimization (MOPSO). The model contains two conflicting objectives, namely optimal labor allocation and maximization of cell utilization. The related results of the proposed MOPSO are compared with the results obtained by a well-known evolutionary procedure, called NSGA-II, in order to verify its effectiveness.
کلیدواژه ها:
cellular manufacturing system ، Cell formation ، Labor allocation ، multi ، objective particle swarm optimization
نویسندگان
Mohammad Khazaei
Department of Industrial Engineering, University of Pyam Noor
A. Makui
Department of Industrial Engineering, Iran University of Science and Technology (IUST)
Reza Tavakkoli-Moghaddam
Industrial Engineering, University of Tehran
Ali Ghodratnama
Industrial Engineering, Kharazmi University