1
Assistant Professor, Islamic Azad University, Qazvin Branch.
2
MS Student, Islamic Azad University, Qazvin Branch.
3
Ph.D Student, Shahid Beheshti University.
Abstract
Cellular manufacturing systems (CMSs) are as one of the most important manufacturing methods.In this paper, is presented a multiple objective model to constitute a CMS under dynamic conditions subject to flexibility of operation processing, assigning machine to each operation and defining cost parameters as fuzzy numbers. In the proposed model, are considered objectives such as minimization of manufacturing system costs and fuzzy costs variance. Also in this paper, in order to attainment of effective solutions, is proposed a hybrid algorithm by NSGA-II and progressive Simulated Annealing (SA) and is applied experimental design of Taguchi for tuning the parameters of this algorithm. For surveying efficiency of the proposed algorithm, results obtained from solving several different sample problems, based on criteria of CPU time, generational distance, spacing and quality metric, are compared and analyzed with results of NSGA-II original algorithm.
Alinezhad, A., Sabet, S., & Ekhtiari, M. (2014). Solving Fuzzy Multiple Objective Dynamic Cellular Manufacturing System Problem using a Hybrid Algorithm of NSGA-II and Progressive Simulated Annealing. Journal of Industrial Management Perspective, 4(3), 131-156.
MLA
Alireza Alinezhad; Sajjad Sabet; Mostafa Ekhtiari. "Solving Fuzzy Multiple Objective Dynamic Cellular Manufacturing System Problem using a Hybrid Algorithm of NSGA-II and Progressive Simulated Annealing". Journal of Industrial Management Perspective, 4, 3, 2014, 131-156.
HARVARD
Alinezhad, A., Sabet, S., Ekhtiari, M. (2014). 'Solving Fuzzy Multiple Objective Dynamic Cellular Manufacturing System Problem using a Hybrid Algorithm of NSGA-II and Progressive Simulated Annealing', Journal of Industrial Management Perspective, 4(3), pp. 131-156.
VANCOUVER
Alinezhad, A., Sabet, S., Ekhtiari, M. Solving Fuzzy Multiple Objective Dynamic Cellular Manufacturing System Problem using a Hybrid Algorithm of NSGA-II and Progressive Simulated Annealing. Journal of Industrial Management Perspective, 2014; 4(3): 131-156.
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