File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Configuring an Optimal Supply Chain of New Products Using Analytical Target Cascading

TitleConfiguring an Optimal Supply Chain of New Products Using Analytical Target Cascading
Authors
KeywordsAnalytical target cascading
Supply chain configuration
Autonomy
Hierarchical modelling
Issue Date2007
PublisherSpringer
Citation
The 35th International MATADOR Conference, Taipei, Taiwan, 18-20 July 2007. In Hinduja, S and Fan KC (Eds.). Proceedings of the 35th International MATADOR Conference, p. 173-176. London, UK: Springer, 2007 How to Cite?
AbstractThis paper presents how to apply Analytical Target Cascading (ATC), a multi-level hierarchical optimization method, in solving Supply Chain Configuration (SCC) problems. Through partitioning the supply chain by stages, the original complex problem of configuring the whole supply chain is converted into several simpler sub-problems of configuring stages. These sub-problems are solved in a concurrent and consistent manner and the ATC coordinating mechanism is responsible for assembling their results into the final optimal supply chain configuration. This kind of decentralized optimization is especially important if autonomous decision rights of the participating enterprises are required in the SCC problem. The general procedure for applying ATC is illustrated with a notebook computer SCC problem and the satisfactory optimization results are obtained.
Persistent Identifierhttp://hdl.handle.net/10722/100083
ISBN

 

DC FieldValueLanguage
dc.contributor.authorQu, Ten_HK
dc.contributor.authorHuang, GQen_HK
dc.contributor.authorBin, S-
dc.contributor.authorChen, HP-
dc.date.accessioned2010-09-25T18:56:07Z-
dc.date.available2010-09-25T18:56:07Z-
dc.date.issued2007en_HK
dc.identifier.citationThe 35th International MATADOR Conference, Taipei, Taiwan, 18-20 July 2007. In Hinduja, S and Fan KC (Eds.). Proceedings of the 35th International MATADOR Conference, p. 173-176. London, UK: Springer, 2007-
dc.identifier.isbn978-1-84628-987-3-
dc.identifier.urihttp://hdl.handle.net/10722/100083-
dc.description.abstractThis paper presents how to apply Analytical Target Cascading (ATC), a multi-level hierarchical optimization method, in solving Supply Chain Configuration (SCC) problems. Through partitioning the supply chain by stages, the original complex problem of configuring the whole supply chain is converted into several simpler sub-problems of configuring stages. These sub-problems are solved in a concurrent and consistent manner and the ATC coordinating mechanism is responsible for assembling their results into the final optimal supply chain configuration. This kind of decentralized optimization is especially important if autonomous decision rights of the participating enterprises are required in the SCC problem. The general procedure for applying ATC is illustrated with a notebook computer SCC problem and the satisfactory optimization results are obtained.-
dc.languageengen_HK
dc.publisherSpringer-
dc.relation.ispartofProceedings of the 35th International MATADOR Conferenceen_HK
dc.subjectAnalytical target cascading-
dc.subjectSupply chain configuration-
dc.subjectAutonomy-
dc.subjectHierarchical modelling-
dc.titleConfiguring an Optimal Supply Chain of New Products Using Analytical Target Cascadingen_HK
dc.typeConference_Paperen_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.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-1-84628-988-0_38-
dc.identifier.hkuros149639en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats