An improvement of a cellular manufacturing system design using simulation analysis
AbstractCell Formation (CF) problem involves grouping the parts into part families and machines into manufacturing cells, so that parts with similar processing requirements are manufactured within the same cell. Many researches have suggested methods for CF. Few of these methods; have addressed the possible existence of exceptional elements (EE) in the solution and the effect of correspondent intercellular movement, which cause lack of segregation among the cells. This paper presents a simulation-based methodology, which takes into consideration the stochastic aspect in the cellular manufacturing (CM) system, to create better cell configurations. An initial solution is developed using any of the numerous CF procedures. The objective of the proposed method which provides performances ratings and cost-effective consist in determine how best to deal with the remaining EE. It considers and compares two strategies (1) permitting intercellular transfer and (2) exceptional machine duplication. The process is demonstrated with a numerical example
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 8922.
Date of creation: 15 Feb 2007
Date of revision: 22 Dec 2007
Publication status: Published in International journal of simulation modeling 4.6(2007): pp. 193-205
Cell Formation; Exceptional Elements; Simulation; Alternative costs; Improvement;
Find related papers by JEL classification:
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
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- Hachicha, Wafik & Masmoudi, Faouzi & Haddar, Mohamed, 2006. "Formation of machine groups and part families in cellular manufacturing systems using a correlation analysis approach," MPRA Paper 3975, University Library of Munich, Germany, revised 04 Jan 2007.
- Shambu, Girish & Suresh, Nallan C., 2000. "Performance of hybrid cellular manufacturing systems: A computer simulation investigation," European Journal of Operational Research, Elsevier, vol. 120(2), pages 436-458, January.
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