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Title of Journal: Int J Adv Manuf Technol

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Abbravation: The International Journal of Advanced Manufacturing Technology

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Springer-Verlag

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DOI

10.1007/s11676-013-0332-2

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1433-3015

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Parallel machine scheduling with earlinesstardine

Authors: Suk Jae Jeong Kyung Sup Kim
Publish Date: 2007/05/16
Volume: 37, Issue: 7-8, Pages: 793-802
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Abstract

In order to maximize an availability of machine and utilization of space the parallel machines scheduling problem with space limit is frequently discussed in the industrial field In this paper we consider the parallel machine scheduling problem in which n jobs having different release times due dates and space limits are to be scheduled on m parallel machines The objective function is to minimize the weighted sum of earliness and tardiness To solve this problem a heuristic is developed which is divided into three modules hierarchically job selection machine selection and job sequencing and solution improvement To illustrate its effectiveness a proposed heuristic is compared with genetic algorithm GA hybrid genetic algorithm HGA and tabu search TS which are wellknown metaheuristics in a large number of randomly generated test problems based on the field situation Also we determine the job selection rule that is suitable to the problem situation considered in this paper and show the effectiveness of our heuristic method

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