File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Impacts of sharing information of demand patterns on supply chain performance

TitleImpacts of sharing information of demand patterns on supply chain performance
Authors
Issue Date2008
PublisherInderscience Publishers. The Journal's web site is located at http://www.inderscience.com/ijenm
Citation
International Journal of Enterprise Network Management, 2008, v. 2 n. 1, 47 - 71 How to Cite?
AbstractThis paper discusses impacts of sharing information about market demand patterns on supply chain performance through a simulation approach. A 3-echelon distribution supply chain consisting of retailers, distributors and a capacitated manufacturer is modelled as a multiagent system. Three demand patterns are studied, including stable, volatile and seasonal demands. Experimental results show that values of information sharing strategies is highly dependent on end-market demand patterns, supply chain echelons and performance indicators. Information sharing generally leads to reduction in inventories, but increases the risk of backlogs. This may ultimately increase the total operating costs, depending on which rate dominates: unit holding cost or unit out-of-stock cost. The result also shows that sharing information may not necessarily improve supply chain performance in a turbulent market manifested in the seasonal demand pattern. This observation is largely due to the fact that the timing parameters and variables have not been considered in our simulation study.
Persistent Identifierhttp://hdl.handle.net/10722/74560
ISSN
2015 SCImago Journal Rankings: 0.118

 

DC FieldValueLanguage
dc.contributor.authorHuang, GQen_HK
dc.contributor.authorLau, SKen_HK
dc.contributor.authorWang, YZ-
dc.contributor.authorHumphreys, PK-
dc.date.accessioned2010-09-06T07:02:32Z-
dc.date.available2010-09-06T07:02:32Z-
dc.date.issued2008en_HK
dc.identifier.citationInternational Journal of Enterprise Network Management, 2008, v. 2 n. 1, 47 - 71en_HK
dc.identifier.issn1748-1252en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74560-
dc.description.abstractThis paper discusses impacts of sharing information about market demand patterns on supply chain performance through a simulation approach. A 3-echelon distribution supply chain consisting of retailers, distributors and a capacitated manufacturer is modelled as a multiagent system. Three demand patterns are studied, including stable, volatile and seasonal demands. Experimental results show that values of information sharing strategies is highly dependent on end-market demand patterns, supply chain echelons and performance indicators. Information sharing generally leads to reduction in inventories, but increases the risk of backlogs. This may ultimately increase the total operating costs, depending on which rate dominates: unit holding cost or unit out-of-stock cost. The result also shows that sharing information may not necessarily improve supply chain performance in a turbulent market manifested in the seasonal demand pattern. This observation is largely due to the fact that the timing parameters and variables have not been considered in our simulation study.-
dc.languageengen_HK
dc.publisherInderscience Publishers. The Journal's web site is located at http://www.inderscience.com/ijenmen_HK
dc.relation.ispartofInternational Journal of Enterprise Network Managementen_HK
dc.rightsInternational Journal of Enterprise Network Management. Copyright © Inderscience Publishers.en_HK
dc.titleImpacts of sharing information of demand patterns on supply chain performanceen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1748-1252&volume=&spage=&epage=&date=2007&atitle=Impacts+of+sharing+information+of+demand+patterns+on+supply+chain+performanceen_HK
dc.identifier.emailHuang, GQ: gqhuang@hkucc.hku.hken_HK
dc.identifier.emailLau, SK: fractals@graduate.hku.hken_HK
dc.identifier.authorityHuang, GQ=rp00118en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1504/IJENM.2008.015978-
dc.identifier.hkuros126894en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats