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Article: Distributed supply-chain project rescheduling: Part II - Distributed affected operations rescheduling algorithm

TitleDistributed supply-chain project rescheduling: Part II - Distributed affected operations rescheduling algorithm
Authors
KeywordsAffected operations rescheduling
Distributed scheduling
Dynamic scheduling
Information sharing
Supply-chain rescheduling
Issue Date2006
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, 2006, v. 44 n. 1, p. 1-25 How to Cite?
AbstractAffected Operations Rescheduling (AOR) is a process of rescheduling only the operations directly and indirectly affected by a disruption through the propagation of change caused by a disruption while preserving as much as possible the robustness of the initial schedule (preschedule). AOR is basically a centralized heuristic, and thus not readily suitable for project rescheduling in a supply chain where independent and autonomous enterprises do not completely share all the relevant information between each other. This paper is mainly concerned with substantially extending AOR into a distributed version, distAOR, for distributed rescheduling. The primary emphasis of the discussion is placed upon how to deal with the research issues of enterprise autonomy and heterogeneity from the aspects of supply-chain modelling, problem formulation, and solution algorithm. The convergence of the resulting distAOR is theoretically demonstrated. The computational study reported in the first part indicates that the superior efficiency of distAOR is largely due to the fact that only minimum information is shared between enterprises, but at the cost of its lost effectiveness also due to limited information sharing.
Persistent Identifierhttp://hdl.handle.net/10722/74395
ISSN
2015 Impact Factor: 1.693
2015 SCImago Journal Rankings: 1.445
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorHuang, GQen_HK
dc.contributor.authorLau, JSKen_HK
dc.contributor.authorMak, KLen_HK
dc.contributor.authorLiang, Len_HK
dc.date.accessioned2010-09-06T07:00:54Z-
dc.date.available2010-09-06T07:00:54Z-
dc.date.issued2006en_HK
dc.identifier.citationInternational Journal Of Production Research, 2006, v. 44 n. 1, p. 1-25en_HK
dc.identifier.issn0020-7543en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74395-
dc.description.abstractAffected Operations Rescheduling (AOR) is a process of rescheduling only the operations directly and indirectly affected by a disruption through the propagation of change caused by a disruption while preserving as much as possible the robustness of the initial schedule (preschedule). AOR is basically a centralized heuristic, and thus not readily suitable for project rescheduling in a supply chain where independent and autonomous enterprises do not completely share all the relevant information between each other. This paper is mainly concerned with substantially extending AOR into a distributed version, distAOR, for distributed rescheduling. The primary emphasis of the discussion is placed upon how to deal with the research issues of enterprise autonomy and heterogeneity from the aspects of supply-chain modelling, problem formulation, and solution algorithm. The convergence of the resulting distAOR is theoretically demonstrated. The computational study reported in the first part indicates that the superior efficiency of distAOR is largely due to the fact that only minimum information is shared between enterprises, but at the cost of its lost effectiveness also due to limited information sharing.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.subjectAffected operations reschedulingen_HK
dc.subjectDistributed schedulingen_HK
dc.subjectDynamic schedulingen_HK
dc.subjectInformation sharingen_HK
dc.subjectSupply-chain reschedulingen_HK
dc.titleDistributed supply-chain project rescheduling: Part II - Distributed affected operations rescheduling algorithmen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0020-7543&volume=44&issue=1&spage=1&epage=25&date=2006&atitle=Distributed+supply-chain+project+rescheduling:+part+II+-+distributed+affected+operations+rescheduling+algorithmen_HK
dc.identifier.emailHuang, GQ:gqhuang@hkucc.hku.hken_HK
dc.identifier.emailMak, KL:makkl@hkucc.hku.hken_HK
dc.identifier.authorityHuang, GQ=rp00118en_HK
dc.identifier.authorityMak, KL=rp00154en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/00207540500151507en_HK
dc.identifier.scopuseid_2-s2.0-29344449152en_HK
dc.identifier.hkuros117078en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-29344449152&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume44en_HK
dc.identifier.issue1en_HK
dc.identifier.spage1en_HK
dc.identifier.epage25en_HK
dc.identifier.isiWOS:000234583700001-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridHuang, GQ=7403425048en_HK
dc.identifier.scopusauthoridLau, JSK=8982533400en_HK
dc.identifier.scopusauthoridMak, KL=7102680226en_HK
dc.identifier.scopusauthoridLiang, L=25632675700en_HK

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