A SIMULATED ANNEALING FOR INTRA-CELL LAYOUT DESIGN OF DYNAMIC CELLULAR MANUFACTURING SYSTEMS WITH ROUTE SELECTION, PURCHASING MACHINES AND CELL RECONFIGURATION

Reza Kia (), Nikbakhsh Javadian (), Mohammad Mahdi Paydar () and Mohammad Saidi-Mehrabad ()
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Reza Kia: Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
Nikbakhsh Javadian: Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
Mohammad Mahdi Paydar: School of Industrial Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran, P.O. Box: 163-16765, Iran
Mohammad Saidi-Mehrabad: School of Industrial Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran, P.O. Box: 163-16765, Iran

Asia-Pacific Journal of Operational Research (APJOR), 2013, vol. 30, issue 04, 1-41

Abstract: This paper develops a novel mixed integer nonlinear programming model for the intra-cell layout design of dynamic cellular manufacturing systems. In dynamic environment, the product mix and part demand are varying during a multi-period planning horizon. As a result, the cell configuration for one period may not be efficient for successive periods and thus necessitates reconfigurations. The proposed model incorporates several design features including intra-cell layout, operation sequence, operation time, alternative process routings, duplicate machines, purchase machine, machine capacity, route selection, production volume of parts, part movements in batch and cell reconfiguration. By considering intra-cell layout and operation sequence, the material handling volume and related cost is calculated more exactly. The objective is to minimize the total costs of inter-cell material handling, forward and backward intra-cell material handling, setting up route, machine relocation, purchasing new machines, machine overhead and machine processing. The main constraints are route selection among flexible routings, machine availability, cell size, machine time-capacity and machine location. The proposed model cannot be solved for large-sized problems optimally within a reasonable amount of computational time. Therefore, an efficient simulated annealing algorithm is developed to overcome NP-hardness of the proposed model.

Keywords: Dynamic cellular manufacturing; intra-cell layout; route selection; simulated annealing; mathematical model (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0217595913500048

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