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Performance evaluation of hybrid-CLP vs GA: Non permutation flowshop with constrained resequencing buffers

Farber, Gerrit, Salhi, Said, Coves, Anna M. (2010) Performance evaluation of hybrid-CLP vs GA: Non permutation flowshop with constrained resequencing buffers. International Journal of Manufacturing & Management, 20 (1/4). pp. 242-258. ISSN 1368-2148. (doi:10.1504/IJMTM.2010.032900) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:25938)

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The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1504/IJMTM.2010.032900

Abstract

This paper is located in the area of mixed model non-permutation flowshop production lines where jobs of more than one model are being processed on the same production line in an arbitrary sequence. Nevertheless, the majority of publications in this area are limited to solutions which determine the job sequence before the jobs enters the line and maintains it without interchanging jobs until the end of the production line, which is known as permutation flowshop. The present work considers a non-permutation flowshop. Resequencing is permitted where stations have access to intermediate or centralised resequencing buffers. The access to the buffers is restricted by the number of available buffer places and the physical size of the products. The primary objective is the minimisation of the make span, but also setup-cost and setup-time is contemplated. A hybrid approach, using constraint logic programming (CLP), is presented and compared to a genetic algorithm (GA). These solution methods are conceptually different and recommendations for their applicability are presented.

Item Type: Article
DOI/Identification number: 10.1504/IJMTM.2010.032900
Subjects: Q Science > Operations Research - Theory
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Said Salhi
Date Deposited: 26 Oct 2010 15:24 UTC
Last Modified: 05 Nov 2024 10:06 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/25938 (The current URI for this page, for reference purposes)

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