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:: Volume 10, Issue 2 (9-2019) ::
IJOR 2019, 10(2): 18-39 Back to browse issues page
A Bi-objective Model for Cellular Manufacturing System Considering Worker Skills, Part Priorities,and Equipment Levels
Mahdi Saadat Mr. , Iraj Mahdavi Dr. , Mohammad Mahdi Paydar Dr. , Sara Firouzian Mrs.
Babol Noshirvani University of Technology, , Paydar@nit.ac.ir
Abstract:   (274 Views)
Here, a new mathematical model for cellular manufacturing systems considering three important features of part priority, levels of machine’s technology, and the operator’s skill is developed. Simultaneous consideration of these features provides a more realistic analysis of the problems in cellular manufacturing systems. A model with multiple design features including cell formation, human resources flexibility with different skills, machines flexibility, operational sequence, processing time, and the capacity of machine and manpower is proposed in this article. Ourfocus is on the design of cells to implementtwo dissimilar goals. The first goal is the reduction of inter-cellular movements of parts and workers. The second goal is the creation of efficient cellsby making cells quality level identical for produced products so that the production of all the different parts have good quality. Two approaches of augmented ε-constraint and non-dominated sorting genetic algorithm II (NSGA-II) are used to solve this model. By comparison of these two approaches, we realizethat the multi-objective evolutionary optimization algorithm creates a Pareto-optimal front in a reasonable amount of time forlarge-scale problems
Keywords: Cellular manufacturing system, Worker skills, Equipment levels, Part priorities, Augmented ε-constraint, NSGA-II
Full-Text [PDF 1010 kb]   (215 Downloads)    
Type of Study: Original | Subject: Mathematical Modeling and Applications of OR
Received: 2019/08/4 | Accepted: 2019/10/8 | Published: 2019/12/1
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Volume 10, Issue 2 (9-2019) Back to browse issues page
مجله انجمن ایرانی تحقیق در عملیات Iranian Journal of Operations Research
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