Title: Designing a new integrated model for dynamic cellular manufacturing systems with production planning and intra-cell layout

Authors: Mohammad Mahdi Paydar; Mohammad Saidi-Mehrabad; Reza Kia

Addresses: School of Industrial Engineering, Iran University of Science and Technology, P.O. Box 163-16765, Narmak, Tehran, Iran ' School of Industrial Engineering, Iran University of Science and Technology, P.O. Box 163-16765, Narmak, Tehran, Iran ' Department of Industrial Engineering, Firoozkooh Branch, Islamic Azad University, P.O. Box 148, Firoozkooh, Tehran, Iran

Abstract: This paper investigates the problem of designing cellular manufacturing systems incorporating several design features including multi-period production planning, sequence of operations, alternate process routings, intra-cell layout, dynamic system reconfiguration, duplicate machines, machine capacity, lot splitting, and material flow between machines in a dynamic environment. The problem is formulated through a comprehensive integer linear programming model. The objective is to minimise the total costs of inter-cell material handling, forward and backward intra-cell material handling, machine operating, machine maintenance and overhead, cell reconfiguration, outsourcing and inventory holding. The main constraints are demand satisfaction, cell size, machine availability, machine time-capacity, material flow conservation and machine location. Computational results are presented by solving some numerical examples to verify the model performance and illustrate its advantageous aspects.

Keywords: dynamic CMS; cellular manufacturing systems; DCMS; integer linear programming; production planning; intra-cell layout; alternative process routings; lot splitting; integrated modelling; manufacturing cells; CMS design; sequencing; system reconfiguration; duplicate machines; machine capacity; material flow; materials handling; machine maintenance; overheads; cell reconfiguration; outsourcing; inventory holding; demand satisfaction; cell size; machine availability; machine location.

DOI: 10.1504/IJADS.2013.053276

International Journal of Applied Decision Sciences, 2013 Vol.6 No.2, pp.117 - 143

Received: 15 Aug 2012
Accepted: 17 Dec 2012
Published online: 28 Nov 2013 *

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