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Article: Towards integrated optimal configuration of platform products, manufacturing processes, and supply chains

TitleTowards integrated optimal configuration of platform products, manufacturing processes, and supply chains
Authors
KeywordsCommonality
Genetic Algorithm
Modularity
Platform product development
Supply chain configuration
Issue Date2005
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/jom
Citation
Journal Of Operations Management, 2005, v. 23 n. 3-4, p. 267-290 How to Cite?
AbstractThis paper seeks to address the challenge of designing effective supply chain systems that integrate platform product decisions, manufacturing process decisions, and supply sourcing decisions. Specifically, this paper considers the specific scenario of optimizing the configuration of the supply chain system given commonality among platform products. The paper uses and extends the concept of Generic Bills of Materials (GBOM) of a product family as a unified framework for qualitatively capturing and representing the structure of its supply chain. This qualitative model is then enhanced by a mathematical model developed to quantify the relationships among various design decisions. Endeavoring to solve the mathematical model more efficiently, we propose an effective heuristic method using Genetic Algorithm (GA). Although GA generally does not guarantee the optimal solution, the best heuristic solutions obtained in this study are consistent with the optimal solutions obtained using Dynamic Programming. The resulting mathematical model and solution algorithm are then used to investigate the mutual impact between the design decisions of platform products and of processes in the supply chain through sensitivity analyses. Several useful managerial insights are generated and discussed. © 2004 Elsevier B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/74295
ISSN
2015 Impact Factor: 4.0
2015 SCImago Journal Rankings: 5.052
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorHuang, GQen_HK
dc.contributor.authorZhang, XYen_HK
dc.contributor.authorLiang, Len_HK
dc.date.accessioned2010-09-06T06:59:52Z-
dc.date.available2010-09-06T06:59:52Z-
dc.date.issued2005en_HK
dc.identifier.citationJournal Of Operations Management, 2005, v. 23 n. 3-4, p. 267-290en_HK
dc.identifier.issn0272-6963en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74295-
dc.description.abstractThis paper seeks to address the challenge of designing effective supply chain systems that integrate platform product decisions, manufacturing process decisions, and supply sourcing decisions. Specifically, this paper considers the specific scenario of optimizing the configuration of the supply chain system given commonality among platform products. The paper uses and extends the concept of Generic Bills of Materials (GBOM) of a product family as a unified framework for qualitatively capturing and representing the structure of its supply chain. This qualitative model is then enhanced by a mathematical model developed to quantify the relationships among various design decisions. Endeavoring to solve the mathematical model more efficiently, we propose an effective heuristic method using Genetic Algorithm (GA). Although GA generally does not guarantee the optimal solution, the best heuristic solutions obtained in this study are consistent with the optimal solutions obtained using Dynamic Programming. The resulting mathematical model and solution algorithm are then used to investigate the mutual impact between the design decisions of platform products and of processes in the supply chain through sensitivity analyses. Several useful managerial insights are generated and discussed. © 2004 Elsevier B.V. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/jomen_HK
dc.relation.ispartofJournal of Operations Managementen_HK
dc.rightsJournal of Operations Management. Copyright © Elsevier BV.en_HK
dc.subjectCommonalityen_HK
dc.subjectGenetic Algorithmen_HK
dc.subjectModularityen_HK
dc.subjectPlatform product developmenten_HK
dc.subjectSupply chain configurationen_HK
dc.titleTowards integrated optimal configuration of platform products, manufacturing processes, and supply chainsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0272-6963&volume=23&issue=3-4&spage=267&epage=290&date=2005&atitle=Towards+integrated+optimal+configuration+of+platform+products,+manufacturing+processes,+and+supply+chainsen_HK
dc.identifier.emailHuang, GQ:gqhuang@hkucc.hku.hken_HK
dc.identifier.authorityHuang, GQ=rp00118en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jom.2004.10.014en_HK
dc.identifier.scopuseid_2-s2.0-14844338607en_HK
dc.identifier.hkuros117074en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-14844338607&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume23en_HK
dc.identifier.issue3-4en_HK
dc.identifier.spage267en_HK
dc.identifier.epage290en_HK
dc.identifier.isiWOS:000228223000002-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridHuang, GQ=7403425048en_HK
dc.identifier.scopusauthoridZhang, XY=7410275338en_HK
dc.identifier.scopusauthoridLiang, L=25632675700en_HK
dc.identifier.citeulike10697006-

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