Article: Hybrid flowshop scheduling with family setup time and inconsistent family formation

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TitleHybrid flowshop scheduling with family setup time and inconsistent family formation
AuthorsLuo, H1
Huang, GQ1
Shi, Y2
Qu, T1
Zhang, YF1 3
KeywordsFlow shop problems
Hybrid flow shop scheduling
Machine settings
Makespan
Metaheuristic
Issue Date2012
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.asp
CitationInternational Journal of Production Research, 2012, v. 50 n. 6, p. 1457-1475 [How to Cite?]
DOI: http://dx.doi.org/10.1080/00207543.2011.560620
AbstractThis research considers a hybrid flowshop scheduling problem where jobs are organised in families according to their machine settings and tools. The family setup time arises when a machine shifts from processing one job family to another. The problem is compounded by the challenges that the formation of job families is different in different stages and only a limited number of jobs can be processed within one setup. This type of problem is common in the production process of standard metal components. This paper aims to propose two approaches to solve this problem. One is a metaheuristic in the form of a genetic algorithm and the other is a heuristic. The proposed approaches are compared and contrasted against the two relevant metaheuristic and heuristic adapted from solving a generalised sequence-dependent setup flowshop problem. Comparative results indicate that the proposed genetic algorithm has better performance on minimising makespan and the heuristic is more effective on reducing family setup time. © 2012 Copyright Taylor and Francis Group, LLC.
ISSN0020-7543
2011 Impact Factor: 1.115
2011 SCImago Journal Rankings: 0.046
DOIhttp://dx.doi.org/10.1080/00207543.2011.560620
ISI Accession Number IDWOS:000304342500001
Funding AgencyGrant Number
HKSAR ITFGHP/042/07LP
HKSAR RGC GRF
HKU Research Committee
Guangdong Modern Information Service06120940B0260124
Guangdong Department of Science and Technology2010B050100023
National Natural Science Foundation of China61074146
Guangdong High Education Institutiongjhz1005
Fundamental Research Funds for the Central Universities2011ZM0079
Funding Information:

We are most grateful to various companies who provided technical and financial support. The authors would like to acknowledge the financial support of HKSAR ITF (GHP/042/07LP), HKSAR RGC GRF, HKU Research Committee Projects, Guangdong Modern Information Service Fund 2009 (06120940B0260124), 2010 Guangdong Department of Science and Technology Funding (2010B050100023), National Natural Science Foundation of China (61074146), International Collaborative Project of Guangdong High Education Institution (gjhz1005) and The Fundamental Research Funds for the Central Universities (No. 2011ZM0079).

ReferencesReferences in Scopus
GrantsRFID-Enabled Real-Time Manufacturing Shop-floor Information Infrastructure for PRD Processing Trade Enterprises
DC Field
Value
dc.contributor.authorLuo, H
dc.contributor.authorHuang, GQ
dc.contributor.authorShi, Y
dc.contributor.authorQu, T
dc.contributor.authorZhang, YF
dc.date.accessioned2012-08-08T08:38:38Z
dc.date.available2012-08-08T08:38:38Z
dc.date.issued2012
dc.description.abstractThis research considers a hybrid flowshop scheduling problem where jobs are organised in families according to their machine settings and tools. The family setup time arises when a machine shifts from processing one job family to another. The problem is compounded by the challenges that the formation of job families is different in different stages and only a limited number of jobs can be processed within one setup. This type of problem is common in the production process of standard metal components. This paper aims to propose two approaches to solve this problem. One is a metaheuristic in the form of a genetic algorithm and the other is a heuristic. The proposed approaches are compared and contrasted against the two relevant metaheuristic and heuristic adapted from solving a generalised sequence-dependent setup flowshop problem. Comparative results indicate that the proposed genetic algorithm has better performance on minimising makespan and the heuristic is more effective on reducing family setup time. © 2012 Copyright Taylor and Francis Group, LLC.
dc.description.grantRFID-Enabled Real-Time Manufacturing Shop-floor Information Infrastructure for PRD Processing Trade Enterprises
dc.description.grantcode102655
dc.description.natureLink_to_subscribed_fulltext
dc.identifier.citationInternational Journal of Production Research, 2012, v. 50 n. 6, p. 1457-1475 [How to Cite?]
DOI: http://dx.doi.org/10.1080/00207543.2011.560620
dc.identifier.doihttp://dx.doi.org/10.1080/00207543.2011.560620
dc.identifier.epage1475
dc.identifier.hkuros203271
dc.identifier.isiWOS:000304342500001
Funding AgencyGrant Number
HKSAR ITFGHP/042/07LP
HKSAR RGC GRF
HKU Research Committee
Guangdong Modern Information Service06120940B0260124
Guangdong Department of Science and Technology2010B050100023
National Natural Science Foundation of China61074146
Guangdong High Education Institutiongjhz1005
Fundamental Research Funds for the Central Universities2011ZM0079
Funding Information:

We are most grateful to various companies who provided technical and financial support. The authors would like to acknowledge the financial support of HKSAR ITF (GHP/042/07LP), HKSAR RGC GRF, HKU Research Committee Projects, Guangdong Modern Information Service Fund 2009 (06120940B0260124), 2010 Guangdong Department of Science and Technology Funding (2010B050100023), National Natural Science Foundation of China (61074146), International Collaborative Project of Guangdong High Education Institution (gjhz1005) and The Fundamental Research Funds for the Central Universities (No. 2011ZM0079).

dc.identifier.issn0020-7543
2011 Impact Factor: 1.115
2011 SCImago Journal Rankings: 0.046
dc.identifier.issue6
dc.identifier.scopuseid_2-s2.0-84861407526
dc.identifier.spage1457
dc.identifier.urihttp://hdl.handle.net/10722/155963
dc.identifier.volume50
dc.languageeng
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.asp
dc.publisher.placeUnited Kingdom
dc.relation.ispartofInternational Journal of Production Research
dc.relation.referencesReferences in Scopus
dc.subjectFlow shop problems
dc.subjectHybrid flow shop scheduling
dc.subjectMachine settings
dc.subjectMakespan
dc.subjectMetaheuristic
dc.titleHybrid flowshop scheduling with family setup time and inconsistent family formation
dc.typeArticle
Author Affiliations
  1. The University of Hong Kong
  2. South China University of Technology
  3. Xi'an Jiaotong University