UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 4
April-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRBB06131


Registration ID:
205616

Page Number

664-670

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Title

Solving Joint Job Shop Scheduling of Production System Using Meta-heuristic Algorithm

Abstract

This paper addressed the job-shop scheduling problem and formulated a model as mixed integer programming to minimize the processing time of job. Each job has fixed machining operations, which has to perform simultaneously with reducing the total make-span. The machining process consist various complexities and uncertainties during the machine processing time, which is the challenging task to capture in the model. Due to NP hard nature of job shop scheduling problem, we have proposed two meta-heuristic algorithms; Cuckoo Search Algorithm (CSA) and Chemical Reaction Optimization to solve the mathematical model. We have tested the model in three different problem instances and found that CRO performs better than CSA, but there is a trade-off in convergence, the CSA convergence rate is better than CRO.

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"Solving Joint Job Shop Scheduling of Production System Using Meta-heuristic Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.664-670, April-2019, Available :http://www.jetir.org/papers/JETIRBB06131.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Solving Joint Job Shop Scheduling of Production System Using Meta-heuristic Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp664-670, April-2019, Available at : http://www.jetir.org/papers/JETIRBB06131.pdf

Publication Details

Published Paper ID: JETIRBB06131
Registration ID: 205616
Published In: Volume 6 | Issue 4 | Year April-2019
DOI (Digital Object Identifier):
Page No: 664-670
Country: 11111111, aaa, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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