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Reconfigurable Dynamic Cellular Manufacturing System: A NewBi-Objective Mathematical Model

Published online by Cambridge University Press:  10 January 2014

Masoud Rabbani ,
Mehran Samavati ,
Mohammad Sadegh Ziaee  and
Hamed Rafiei
Masoud Rabbani
Affiliation:
School of Industrial & Systems Engineering, College of Engineering, University of Tehran, North Kargar St., P.O. Box: 11155-4563, Tehran, Iran.. mrabani@ut.ac.ir; mehransamavati@ut.ac.ir; hrafiei@ut.ac.ir
Mehran Samavati
Affiliation:
School of Industrial & Systems Engineering, College of Engineering, University of Tehran, North Kargar St., P.O. Box: 11155-4563, Tehran, Iran.. mrabani@ut.ac.ir; mehransamavati@ut.ac.ir; hrafiei@ut.ac.ir
Mohammad Sadegh Ziaee
Affiliation:
Faculty of Management, University of Tehran, Tehran, Iran.; ziaee@ut.ac.ir
Hamed Rafiei
Affiliation:
School of Industrial & Systems Engineering, College of Engineering, University of Tehran, North Kargar St., P.O. Box: 11155-4563, Tehran, Iran.. mrabani@ut.ac.ir; mehransamavati@ut.ac.ir; hrafiei@ut.ac.ir
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Abstract

Dynamic Cell Formation Problem (DCFP) seeks to cope with variation in part mix anddemands using machine relocation, replication, and removing; whilst from practical pointof view it is too hard to move machines between cells or invest on machine replication. Tocope with this deficiency, this paper addresses Reconfigurable Dynamic Cell FormationProblem (RDCFP) in which machine modification is conducted instead of their relocation orreplication in order to enhance machine capabilities to process wider range of productiontasks. In this regard, a mixed integer nonlinear mathematical model is proposed, which isNP-hard. To cope with the proposed model’s intractability, an Imperialist CompetitiveAlgorithm (ICA) is developed, whose obtained results are compared with those of GeneticAlgorithm’s (GA’s), showing superiority and outperformance of the developed ICA.

Keywords

Dynamic cell formation problemgenetic algorithmimperialist competitive algorithmmachine modificationreconfigurable cellular manufacturing system
Type
Research Article
Information
RAIRO - Operations Research , Volume 48 , Issue 1 , January 2014 , pp. 75 - 102
Copyright
© EDP Sciences, ROADEF, SMAI, 2014

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