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Title of Journal: J Intell Manuf

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Abbravation: Journal of Intelligent Manufacturing

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Springer US

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DOI

10.1002/prac.18671020109

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1572-8145

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Performance evaluation of proposed Differential Ev

Authors: G Vijay chakaravarthy S Marimuthu A Naveen Sait
Publish Date: 2011/07/07
Volume: 24, Issue: 1, Pages: 175-191
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Abstract

We consider njob mmachine lot streaming problem in a flow shop with equal size sub lots where the objective is to minimize the makespan and total flow time Lot streaming Lot sizing is a technique that splits a production lot consisting of identical items into sub lots to improve the performance of a multi stage production system by over lapping the sub lots on successive machines There is a scope for efficient algorithms for scheduling problems in mmachine flow shop with lot streaming In recent years much attention is given to heuristics and search techniques To solve this problem we propose a Differential Evolution Algorithm DEA and Particle Swarm Optimization PSO to evolve best sequence for makespan/total flow time criterion for mmachine flow shop involved with lot streaming and set up time In this research we propose the DEA and PSO algorithms for discrete lot streaming with equal sub lots The proposed methods are tested and the performances were evaluated The computational results show that the proposed algorithms are very competitive for the lot streaming flow shop scheduling problem

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