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Article: A heuristic methodology for order distribution in a demand driven collaborative supply chain

TitleA heuristic methodology for order distribution in a demand driven collaborative supply chain
Authors
Issue Date2004
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.asp
Citation
International Journal Of Production Research, 2004, v. 42 n. 1, p. 1-19 How to Cite?
AbstractThis paper studies vertical and horizontal supply chain collaboration, and proposes a demand sharing methodology based on a set of predefined collaboration rules. Supply chain collaboration is prevalent, and has been recognized to be one of the important issues in improving competition strength. However, implementation of supply chain collaboration encounters many barriers, such as type, scope and security of information sharing, equity in benefits sharing, joint decision making, coordination tasks etc. For these reasons this paper proposes a framework of a central coordination system, which is equipped with a multi-criteria genetic optimization feature. The optimization methodology combines an analytic hierarchy process with genetic algorithms. It deploys an analytic hierarchy process to model the collaboration rules, govern the demand allocations, and evaluate the fitness values of chromosomes. The implementation of the proposed central coordination system is demonstrated by a hypothetical three-echelons supply chain network.
Persistent Identifierhttp://hdl.handle.net/10722/74580
ISSN
2015 Impact Factor: 1.693
2015 SCImago Journal Rankings: 1.445
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChan, FTSen_HK
dc.contributor.authorChung, SHen_HK
dc.contributor.authorWadhwa, Sen_HK
dc.date.accessioned2010-09-06T07:02:44Z-
dc.date.available2010-09-06T07:02:44Z-
dc.date.issued2004en_HK
dc.identifier.citationInternational Journal Of Production Research, 2004, v. 42 n. 1, p. 1-19en_HK
dc.identifier.issn0020-7543en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74580-
dc.description.abstractThis paper studies vertical and horizontal supply chain collaboration, and proposes a demand sharing methodology based on a set of predefined collaboration rules. Supply chain collaboration is prevalent, and has been recognized to be one of the important issues in improving competition strength. However, implementation of supply chain collaboration encounters many barriers, such as type, scope and security of information sharing, equity in benefits sharing, joint decision making, coordination tasks etc. For these reasons this paper proposes a framework of a central coordination system, which is equipped with a multi-criteria genetic optimization feature. The optimization methodology combines an analytic hierarchy process with genetic algorithms. It deploys an analytic hierarchy process to model the collaboration rules, govern the demand allocations, and evaluate the fitness values of chromosomes. The implementation of the proposed central coordination system is demonstrated by a hypothetical three-echelons supply chain network.en_HK
dc.languageengen_HK
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.aspen_HK
dc.relation.ispartofInternational Journal of Production Researchen_HK
dc.titleA heuristic methodology for order distribution in a demand driven collaborative supply chainen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0020-7543&volume=42&issue=1&spage=1&epage=19&date=2004&atitle=A+heuristic+methodology+for+order+distribution+in+a+demand+driven+collaborative+supply+chainen_HK
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hken_HK
dc.identifier.authorityChan, FTS=rp00090en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/0020754031000103293en_HK
dc.identifier.scopuseid_2-s2.0-1142280344en_HK
dc.identifier.hkuros90521en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-1142280344&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume42en_HK
dc.identifier.issue1en_HK
dc.identifier.spage1en_HK
dc.identifier.epage19en_HK
dc.identifier.isiWOS:000186683300001-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridChan, FTS=7202586517en_HK
dc.identifier.scopusauthoridChung, SH=36023203100en_HK
dc.identifier.scopusauthoridWadhwa, S=9279646800en_HK

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