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Article: Optimal configuration of assembly supply chains using analytical target cascading

TitleOptimal configuration of assembly supply chains using analytical target cascading
Authors
Keywordsanalytical target cascading
autonomous decision systems
distributed problem solving
supply chain configuration
Issue Date2010
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, 2010, v. 48 n. 23, p. 6883-6907 How to Cite?
AbstractThis paper proposes to apply analytical target cascading (ATC) for configuring assembly supply chains with convergent structures. Individual enterprises in a supply chain are represented as separate elements in an ATC hierarchy. They are able to maintain autonomous and heterogeneous decision systems for optimising their private decision variables and objectives. They collaborate vertically and laterally along the ATC hierarchy through their common decisions to achieve the overall consistency and optimality. ATC offers a competitive balance between computational efficiency and effectiveness while providing an opportunity for parallel computation to further improve the efficiency. This paper also investigates the feasibility for individual enterprises to set local targets while participating in the supply chain configuration (SCC). SCC usually involves discrete decision variables, causing significant difficulties for existing ATC techniques to achieve system consistency. Therefore, a new consistency scheme has to be proposed in this paper, including two techniques: importance weighting factor (IWF) and dynamic constraints (DC). A case study is used to demonstrate the application of the ATC method for solving typical SCC problems. A series of comparative analyses are conducted to identify the strengths of the ATC method and demonstrate the effectiveness of the proposed consistency scheme. © 2010 Taylor & Francis.
Persistent Identifierhttp://hdl.handle.net/10722/134648
ISSN
2015 Impact Factor: 1.693
2015 SCImago Journal Rankings: 1.445
ISI Accession Number ID
Funding AgencyGrant Number
HKU Research Committee
Hong Kong SAR RGC
ITFGHP/042/07LP
Funding Information:

The authors are grateful to HKU Research Committee, Hong Kong SAR RGC and ITF (GHP/042/07LP) for providing partial financial supports. Cluster de Recherche Gestion et organisation des systemes de production et del'innovation de la region Rhone-Alpes, GOSPI.

References
Grants

 

DC FieldValueLanguage
dc.contributor.authorQu, Ten_HK
dc.contributor.authorHuang, GQen_HK
dc.contributor.authorCung, VDen_HK
dc.contributor.authorMangione, Fen_HK
dc.date.accessioned2011-07-05T08:23:06Z-
dc.date.available2011-07-05T08:23:06Z-
dc.date.issued2010en_HK
dc.identifier.citationInternational Journal Of Production Research, 2010, v. 48 n. 23, p. 6883-6907en_HK
dc.identifier.issn0020-7543en_HK
dc.identifier.urihttp://hdl.handle.net/10722/134648-
dc.description.abstractThis paper proposes to apply analytical target cascading (ATC) for configuring assembly supply chains with convergent structures. Individual enterprises in a supply chain are represented as separate elements in an ATC hierarchy. They are able to maintain autonomous and heterogeneous decision systems for optimising their private decision variables and objectives. They collaborate vertically and laterally along the ATC hierarchy through their common decisions to achieve the overall consistency and optimality. ATC offers a competitive balance between computational efficiency and effectiveness while providing an opportunity for parallel computation to further improve the efficiency. This paper also investigates the feasibility for individual enterprises to set local targets while participating in the supply chain configuration (SCC). SCC usually involves discrete decision variables, causing significant difficulties for existing ATC techniques to achieve system consistency. Therefore, a new consistency scheme has to be proposed in this paper, including two techniques: importance weighting factor (IWF) and dynamic constraints (DC). A case study is used to demonstrate the application of the ATC method for solving typical SCC problems. A series of comparative analyses are conducted to identify the strengths of the ATC method and demonstrate the effectiveness of the proposed consistency scheme. © 2010 Taylor & Francis.en_HK
dc.languageengen_US
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.subjectanalytical target cascadingen_HK
dc.subjectautonomous decision systemsen_HK
dc.subjectdistributed problem solvingen_HK
dc.subjectsupply chain configurationen_HK
dc.titleOptimal configuration of assembly supply chains using analytical target cascadingen_HK
dc.typeArticleen_HK
dc.identifier.emailQu, T:quting@hku.hken_HK
dc.identifier.emailHuang, GQ:gqhuang@hkucc.hku.hken_HK
dc.identifier.authorityQu, T=rp01500en_HK
dc.identifier.authorityHuang, GQ=rp00118en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1080/00207540903307631en_HK
dc.identifier.scopuseid_2-s2.0-78349281203en_HK
dc.identifier.hkuros163912-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78349281203&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume48en_HK
dc.identifier.issue23en_HK
dc.identifier.spage6883en_HK
dc.identifier.epage6907en_HK
dc.identifier.eissn1366-588X-
dc.identifier.isiWOS:000283874500001-
dc.publisher.placeUnited Kingdomen_HK
dc.relation.projectRFID-Enabled Real-Time Manufacturing Shop-floor Information Infrastructure for PRD Processing Trade Enterprises-
dc.identifier.scopusauthoridQu, T=35590322600en_HK
dc.identifier.scopusauthoridHuang, GQ=7403425048en_HK
dc.identifier.scopusauthoridCung, VD=6506181336en_HK
dc.identifier.scopusauthoridMangione, F=35196657500en_HK

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