Title of article :
Solving a new bi-objective model for a cell formation problem considering labor allocation by multi-objective particle swarm optimization
Author/Authors :
Tavakkoli-Moghaddam, R. university of tehran - College of Engineering - Department of Industrial Engineering, تهران, ايران , Ghodratnama, A. university of tehran - College of Engineering - Department of Industrial Engineering, تهران, ايران , Makui, A. iran university of science and technology - Department of Industrial Engineering, تهران, ايران , Khazaei, M. payame noor university - Department of Industrial Engineering, تهران, ايران
Abstract :
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
Keywords :
Cellular manufacturing system , Cell formation , Labor allocation , Multi , objective particle swarm optimization
Journal title :
International Journal of Engineering
Journal title :
International Journal of Engineering
