Semi Dynamic Demand in a Non-Permutation Flowshop with Constrained Resequencing Buffers

Salhi, Said and Farber, Gerrit and Coves, Anna M. (2008) Semi Dynamic Demand in a Non-Permutation Flowshop with Constrained Resequencing Buffers. In: Lirkov, I. and Margenov, S. and Wasniewski, Jerzy, eds. Large-scale Scientific Computing. Lecture Notes in Computer Science. Lecture Notes in Computer Science, 4818 (8). Springer-Verlag, Berlin, pp. 536-544. ISBN 9783540788256. (The full text of this publication is not available from this repository)

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Abstract

This work presents the performance comparison of two conceptually different approaches for a mixed model non-permutation flowshop production line. The demand is a semi-dynamic demand with a fixed job sequence for the first station. Resequencing is permitted where stations have access to intermediate or centralized resequencing buffers. The access to the buffers is restricted by the number of available buffer places and the physical size of the products. An exact approach, using Constraint Logic Programming (CLP), and a heuristic approach, a Genetic Algorithm (GA), were applied.

Item Type: Book section
Uncontrolled keywords: semi-dynamic demand; constraint logic programming; genetic algorithm; non-permutation flowshop; mixed model assembly line
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Faculties > Social Sciences > Kent Business School > Management Science
Depositing User: Said Salhi
Date Deposited: 10 Mar 2009 18:40
Last Modified: 18 Jul 2014 14:08
Resource URI: http://kar.kent.ac.uk/id/eprint/5231 (The current URI for this page, for reference purposes)
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