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Conference Paper: Modeling and analysis of supply chain risk system under the influence of partners' collaboration

TitleModeling and analysis of supply chain risk system under the influence of partners' collaboration
Authors
Issue Date2011
PublisherIEEE, Computer Society. The Journal's web site is located at http://csdl2.computer.org/persagen/DLPublication.jsp?pubtype=p&acronym=HICSS
Citation
The 44th Hawaii International Conference on System Science (HICSS 2011), Kauai, HI., 4-7 January 2011. In Proceedings of the Hawaii International Conference on System Sciences, 2011, p. 1-10 How to Cite?
AbstractConfining the focus to individual enterprise, traditional risk management literature seems to echo inadequately in the context of collaborative supply chain, partially due to its exclusion of correlation of risks across companies. In this study, we refine the notion of risk in supply chain and propose a model of supply chain risk system (SCRS) that consciously takes into account the correlation among risks resulting from partners' collaboration. Through analytical inference we found that the level of collaboration contributes to the resilience of supply chain. It implies that collaboration can positively affect the topology of SCRS, thus benefiting supply chain operations in terms of risk management. A simulation program has been developed with aim to demonstrate the practical feasibility of the proposed model. Implemented in simulation, two sets of experiments have been conducted for testing the model in actual business scenarios. The experimental results provide supporting evidence to consolidate the analytical findings. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/129965
ISSN
2019 SCImago Journal Rankings: 0.316
References

 

DC FieldValueLanguage
dc.contributor.authorYen, BPCen_HK
dc.contributor.authorZeng, Ben_HK
dc.date.accessioned2010-12-23T08:44:56Z-
dc.date.available2010-12-23T08:44:56Z-
dc.date.issued2011en_HK
dc.identifier.citationThe 44th Hawaii International Conference on System Science (HICSS 2011), Kauai, HI., 4-7 January 2011. In Proceedings of the Hawaii International Conference on System Sciences, 2011, p. 1-10en_US
dc.identifier.issn1530-1605en_HK
dc.identifier.urihttp://hdl.handle.net/10722/129965-
dc.description.abstractConfining the focus to individual enterprise, traditional risk management literature seems to echo inadequately in the context of collaborative supply chain, partially due to its exclusion of correlation of risks across companies. In this study, we refine the notion of risk in supply chain and propose a model of supply chain risk system (SCRS) that consciously takes into account the correlation among risks resulting from partners' collaboration. Through analytical inference we found that the level of collaboration contributes to the resilience of supply chain. It implies that collaboration can positively affect the topology of SCRS, thus benefiting supply chain operations in terms of risk management. A simulation program has been developed with aim to demonstrate the practical feasibility of the proposed model. Implemented in simulation, two sets of experiments have been conducted for testing the model in actual business scenarios. The experimental results provide supporting evidence to consolidate the analytical findings. © 2011 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE, Computer Society. The Journal's web site is located at http://csdl2.computer.org/persagen/DLPublication.jsp?pubtype=p&acronym=HICSSen_US
dc.relation.ispartofProceedings of the Annual Hawaii International Conference on System Sciencesen_HK
dc.titleModeling and analysis of supply chain risk system under the influence of partners' collaborationen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1060-3425&volume=&spage=1&epage=10&date=2011&atitle=Modeling+and+analysis+of+supply+chain+risk+system+under+the+influence+of+partners%27+collaboration-
dc.identifier.emailYen, BPC: benyen@hkucc.hku.hken_HK
dc.identifier.authorityYen, BPC=rp01121en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/HICSS.2011.311en_HK
dc.identifier.scopuseid_2-s2.0-79952966832en_HK
dc.identifier.hkuros177794en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79952966832&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage1-
dc.identifier.epage10-
dc.description.otherThe 44th Hawaii International Conference on System Science (HICSS 2011), Kauai, HI., 4-7 January 2011. In Proceedings of the Hawaii International Conference on System Sciences, 2011, p. 1-10-
dc.identifier.scopusauthoridYen, BPC=7102564239en_HK
dc.identifier.scopusauthoridZeng, B=36835959800en_HK
dc.identifier.issnl1530-1605-

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