A genetic algorithm for a bi-objective mathematical model for dynamic virtual cell formation problem
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Nowadays, with the increasing pressure of the competitive business environment and demand for diverse products, manufacturers are force to seek for solutions that reduce production costs and rise product quality. Cellular manufacturing system (CMS), as a means to this end, has be
This paper deals with the cellular manufacturing system (CMS) that is based on group technology concepts. CMS is defined as identifying the similar parts that are processed on the same machines and then grouping them as a cell. The most proposed models for solving CMS are focused
I. Mahdavi, Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran M. M. Paydar, Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran M. Solimanpur, Faculty of Engineering, Urmia University, Urmi
This paper presents a novel, multi-objective mixed-integer nonlinear programming (MINLP) model for a cell formation problem (CFP) with alternative means. Due to existing contradiction among objectives, three are considered: 1) Minimizing the total cost consisting of; intercellula
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