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Article: Optimization of order fulfillment in distribution network problems

TitleOptimization of order fulfillment in distribution network problems
Authors
KeywordsAnalytic hierarchy process
Distribution network
Genetic algorithms
Multi-criterion decision making
Production scheduling
Uncertainties
Issue Date2006
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0956-5515
Citation
Journal Of Intelligent Manufacturing, 2006, v. 17 n. 3, p. 307-319 How to Cite?
AbstractThis paper focuses on optimization of order due date fulfillment reliability in multi-echelon distribution network problems with uncertainties present in the production lead time, transportation lead time, and due date of orders. Reliability regarding order due date fulfillment is critical in customer service, and customer retention. However, this reliability can be seriously influenced by supply chain uncertainties, which may induce tardiness in various stages throughout the supply chain. Supply chain uncertainty is inevitable, since most input values are predicted from historical data, and unexpected events may happen. Hence, a multi-criterion genetic integrative optimization methodology is developed for solving this problem. The proposed algorithm integrates genetic algorithms with analytic hierarchy process to enable multi-criterion optimization, and probabilistic analysis to capture uncertainties. The optimization involves determination of demand allocations in the network, transportation modes between facilities, and production scheduling in manufacturing plants. A hypothetical three-echelon distribution network is studied, and the computation results demonstrated the reliability of the proposed algorithms. © Springer Science+Business Media, LLC 2006.
Persistent Identifierhttp://hdl.handle.net/10722/74514
ISSN
2015 Impact Factor: 1.995
2015 SCImago Journal Rankings: 1.397
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChan, FTSen_HK
dc.contributor.authorChung, SHen_HK
dc.contributor.authorChoy, KLen_HK
dc.date.accessioned2010-09-06T07:02:04Z-
dc.date.available2010-09-06T07:02:04Z-
dc.date.issued2006en_HK
dc.identifier.citationJournal Of Intelligent Manufacturing, 2006, v. 17 n. 3, p. 307-319en_HK
dc.identifier.issn0956-5515en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74514-
dc.description.abstractThis paper focuses on optimization of order due date fulfillment reliability in multi-echelon distribution network problems with uncertainties present in the production lead time, transportation lead time, and due date of orders. Reliability regarding order due date fulfillment is critical in customer service, and customer retention. However, this reliability can be seriously influenced by supply chain uncertainties, which may induce tardiness in various stages throughout the supply chain. Supply chain uncertainty is inevitable, since most input values are predicted from historical data, and unexpected events may happen. Hence, a multi-criterion genetic integrative optimization methodology is developed for solving this problem. The proposed algorithm integrates genetic algorithms with analytic hierarchy process to enable multi-criterion optimization, and probabilistic analysis to capture uncertainties. The optimization involves determination of demand allocations in the network, transportation modes between facilities, and production scheduling in manufacturing plants. A hypothetical three-echelon distribution network is studied, and the computation results demonstrated the reliability of the proposed algorithms. © Springer Science+Business Media, LLC 2006.en_HK
dc.languageengen_HK
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0956-5515en_HK
dc.relation.ispartofJournal of Intelligent Manufacturingen_HK
dc.subjectAnalytic hierarchy processen_HK
dc.subjectDistribution networken_HK
dc.subjectGenetic algorithmsen_HK
dc.subjectMulti-criterion decision makingen_HK
dc.subjectProduction schedulingen_HK
dc.subjectUncertaintiesen_HK
dc.titleOptimization of order fulfillment in distribution network problemsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0956-5515&volume=17&spage=307&epage=319&date=2006&atitle=Optimization+of+order+fulfillment+in+distribution+network+problemsen_HK
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hken_HK
dc.identifier.authorityChan, FTS=rp00090en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s10845-005-0003-zen_HK
dc.identifier.scopuseid_2-s2.0-33646426393en_HK
dc.identifier.hkuros119212en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33646426393&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume17en_HK
dc.identifier.issue3en_HK
dc.identifier.spage307en_HK
dc.identifier.epage319en_HK
dc.identifier.isiWOS:000237025900004-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChan, FTS=7202586517en_HK
dc.identifier.scopusauthoridChung, SH=36023203100en_HK
dc.identifier.scopusauthoridChoy, KL=7005477047en_HK
dc.identifier.citeulike601171-

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