Volume 35, Issue 2 (2-2017)                   JCME 2017, 35(2): 65-84 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Rabbani M, Taghiniam F, Farrokhi-Asl H, Rafiei H. Optimizing the Number of Cells in a Cellular Manufacturing System. JCME. 2017; 35 (2) :65-84
URL: http://jcme.iut.ac.ir/article-1-643-en.html
1- School of Industrial Engineering, College of Engineering, University of Tehran , mrabani@ut.ac.ir
2- School of Industrial Engineering, College of Engineering, University of Tehran
Abstract:   (2351 Views)

In this paper, the solution of a non-linear model of Cell Manufacturing (CM) in certain and dynamic conditions is
studied, considering intracellular and extracellular costs, cell constructing costs, the cost of restoration and the cost of equipment
transportation per distance travelled. Since the number of cells in each stage of production is important, by optimizing the
number of cells, additional costs can be minimized. Therefore, the main objective of this study is to investigate the optimal
number of cells located. Bio-geographical Based Optimization (BBO) algorithm is applied in the CM for the first time in the
literature and the obtained results from this algorithm are compared with the results of well-known genetic algorithm. The results
shows the good performance of genetic algorithm. Finally, the conclusion and future research are provided.

Full-Text [PDF 655 kb]   (557 Downloads)    
Type of Study: Research | Subject: General
Received: 2017/02/18 | Accepted: 2017/02/18 | Published: 2017/02/18

Add your comments about this article : Your username or Email:

Send email to the article author

© 2020 All Rights Reserved | Computational Methods in Engineering

Designed & Developed by : Yektaweb