A heuristic algorithm for scheduling in a flow shop environment to minimize makespan

Scheduling ‘n’ jobs on ‘m’ machines in a flow shop is NP- hard problem and places itself at prominent place in the area of production scheduling. The essence of any scheduling algorithm is to minimize the makespan in a flowshop environment. In this paper an attempt has been made to develop a heurist...

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Main Authors: Arun Gupta, Sant Ram Chauhan
Format: Article
Language:English
Published: Growing Science 2015-04-01
Series:International Journal of Industrial Engineering Computations
Subjects:
Online Access:http://www.growingscience.com/ijiec/Vol6/IJIEC_2014_43.pdf
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author Arun Gupta
Sant Ram Chauhan
author_facet Arun Gupta
Sant Ram Chauhan
author_sort Arun Gupta
collection DOAJ
description Scheduling ‘n’ jobs on ‘m’ machines in a flow shop is NP- hard problem and places itself at prominent place in the area of production scheduling. The essence of any scheduling algorithm is to minimize the makespan in a flowshop environment. In this paper an attempt has been made to develop a heuristic algorithm, based on the reduced weightage of ma-chines at each stage to generate different combination of ‘m-1’ sequences. The proposed heuristic has been tested on several benchmark problems of Taillard (1993) [Taillard, E. (1993). Benchmarks for basic scheduling problems. European Journal of Operational Research, 64, 278-285.]. The performance of the proposed heuristic is compared with three well-known heuristics, namely Palmer’s heuristic, Campbell’s CDS heuristic, and Dannenbring’s rapid access heuristic. Results are evaluated with the best-known upper-bound solutions and found better than the above three.
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spelling doaj.art-b9daad5ced3b458b9d6667a7a81f165f2022-12-22T00:43:40ZengGrowing ScienceInternational Journal of Industrial Engineering Computations1923-29261923-29342015-04-016217318410.5267/j.ijiec.2014.12.002A heuristic algorithm for scheduling in a flow shop environment to minimize makespanArun Gupta Sant Ram Chauhan Scheduling ‘n’ jobs on ‘m’ machines in a flow shop is NP- hard problem and places itself at prominent place in the area of production scheduling. The essence of any scheduling algorithm is to minimize the makespan in a flowshop environment. In this paper an attempt has been made to develop a heuristic algorithm, based on the reduced weightage of ma-chines at each stage to generate different combination of ‘m-1’ sequences. The proposed heuristic has been tested on several benchmark problems of Taillard (1993) [Taillard, E. (1993). Benchmarks for basic scheduling problems. European Journal of Operational Research, 64, 278-285.]. The performance of the proposed heuristic is compared with three well-known heuristics, namely Palmer’s heuristic, Campbell’s CDS heuristic, and Dannenbring’s rapid access heuristic. Results are evaluated with the best-known upper-bound solutions and found better than the above three.http://www.growingscience.com/ijiec/Vol6/IJIEC_2014_43.pdfFlow-shopHeuristicsMakespanSchedulingBenchmark Problems
spellingShingle Arun Gupta
Sant Ram Chauhan
A heuristic algorithm for scheduling in a flow shop environment to minimize makespan
International Journal of Industrial Engineering Computations
Flow-shop
Heuristics
Makespan
Scheduling
Benchmark Problems
title A heuristic algorithm for scheduling in a flow shop environment to minimize makespan
title_full A heuristic algorithm for scheduling in a flow shop environment to minimize makespan
title_fullStr A heuristic algorithm for scheduling in a flow shop environment to minimize makespan
title_full_unstemmed A heuristic algorithm for scheduling in a flow shop environment to minimize makespan
title_short A heuristic algorithm for scheduling in a flow shop environment to minimize makespan
title_sort heuristic algorithm for scheduling in a flow shop environment to minimize makespan
topic Flow-shop
Heuristics
Makespan
Scheduling
Benchmark Problems
url http://www.growingscience.com/ijiec/Vol6/IJIEC_2014_43.pdf
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