File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Extending analytical target cascading for optimal supply chain network configuration of a product family

TitleExtending analytical target cascading for optimal supply chain network configuration of a product family
Authors
KeywordsAnalytical target cascading
Supply chain configuration
Product platform
Product family
Issue Date2009
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/0951192X.asp
Citation
International Journal of Computer Integrated Manufacturing, 2009, v. 22 n. 11, p. 1012-1023 How to Cite?
AbstractPlatforming is not only a powerful approach to new product development by sharing common and modular components and processes but also allows the supply chain to gain benefits from risk-pooling effect through shared resources. Analytical target cascading (ATC) is a decentralised method suitable for configuring a hierarchical supply chain of an assembled product while accommodating necessary degree of decision autonomy and information privacy of individual enterprises. Because product variants in a family share platform components, the supply chain structure becomes a weakly networked hierarchy where a small number of elements are laterally linked. In addition, multiple customers who share a common platform component may require the corresponding supplier to use different strategies such as just-in-time (JIT) and lowest price to supply the component. As a result, different decision variables may be involved in the interaction between a shared lower-level element and its different parental elements. This paper develops a new ATC method suitable for dealing with these two special characteristics in supply chain configuration (SCC) for a product family. Numerical results demonstrate that the new method produces better results than those obtained from using the ATC method that only allows a supplier to optimise the supply of the platform component to all its customers with the same strategy.
Persistent Identifierhttp://hdl.handle.net/10722/58870
ISSN
2015 Impact Factor: 1.319
2015 SCImago Journal Rankings: 0.673
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorQu, Ten_HK
dc.contributor.authorHuang, GQen_HK
dc.contributor.authorChen, Xen_HK
dc.contributor.authorChen, HPen_HK
dc.date.accessioned2010-05-31T03:38:30Z-
dc.date.available2010-05-31T03:38:30Z-
dc.date.issued2009en_HK
dc.identifier.citationInternational Journal of Computer Integrated Manufacturing, 2009, v. 22 n. 11, p. 1012-1023en_HK
dc.identifier.issn0951-192Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/58870-
dc.description.abstractPlatforming is not only a powerful approach to new product development by sharing common and modular components and processes but also allows the supply chain to gain benefits from risk-pooling effect through shared resources. Analytical target cascading (ATC) is a decentralised method suitable for configuring a hierarchical supply chain of an assembled product while accommodating necessary degree of decision autonomy and information privacy of individual enterprises. Because product variants in a family share platform components, the supply chain structure becomes a weakly networked hierarchy where a small number of elements are laterally linked. In addition, multiple customers who share a common platform component may require the corresponding supplier to use different strategies such as just-in-time (JIT) and lowest price to supply the component. As a result, different decision variables may be involved in the interaction between a shared lower-level element and its different parental elements. This paper develops a new ATC method suitable for dealing with these two special characteristics in supply chain configuration (SCC) for a product family. Numerical results demonstrate that the new method produces better results than those obtained from using the ATC method that only allows a supplier to optimise the supply of the platform component to all its customers with the same strategy.-
dc.languageengen_HK
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/0951192X.aspen_HK
dc.relation.ispartofInternational Journal of Computer Integrated Manufacturingen_HK
dc.subjectAnalytical target cascading-
dc.subjectSupply chain configuration-
dc.subjectProduct platform-
dc.subjectProduct family-
dc.titleExtending analytical target cascading for optimal supply chain network configuration of a product familyen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0951-192X&volume=&spage=1&epage=12&date=2009&atitle=Extending+analytical+target+cascading+for+optimal+supply+chain+network+configuration+of+a+product+familyen_HK
dc.identifier.emailQu, T: quting@hku.hken_HK
dc.identifier.emailHuang, GQ: gqhuang@hkucc.hku.hken_HK
dc.identifier.authorityHuang, GQ=rp00118en_HK
dc.identifier.doi10.1080/09511920802616807-
dc.identifier.hkuros154133en_HK
dc.identifier.isiWOS:000271035400003-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats