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Conference Paper: A hierarchical assessment method using bayesian network for material risk detection on green supply chain

TitleA hierarchical assessment method using bayesian network for material risk detection on green supply chain
Authors
KeywordsDecision method
Green supply chain
Material risk
Issue Date2010
PublisherIEEE.
Citation
The IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2010), Macao, China, 7-10 December 2010. In Proceedings of IEEM, 2010, p. 1184-1188 How to Cite?
AbstractToday's social awareness of environmental protection presents the electronic companies with an irreversible trend towards green manufacturing. It raises harsh requirement for the sourcing process and imposes unprecedented pressure to the QA system, majorly due to the risk of hazardous material. As QA procedures are becoming more complicated for coping with increasing material risk and meanwhile the time and resource available are tightly constrained, the development of an effective mechanism for material testing turns up to be a critical issue. In this study, a hierarchical material risk assessment approach is proposed based on FMEA framework. Taking into account the risk occurrence, the difficulty in detection and the severity the risk causes, it enables companies to estimate their material risks dynamically using Bayesian network. With its help, companies can assess and prioritize the material risk in a systematic and efficient manner which will drive QA towards a more high-performance process. ©2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/129973
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorYen, BPCen_HK
dc.contributor.authorZeng, Ben_HK
dc.date.accessioned2010-12-23T08:44:58Z-
dc.date.available2010-12-23T08:44:58Z-
dc.date.issued2010en_HK
dc.identifier.citationThe IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2010), Macao, China, 7-10 December 2010. In Proceedings of IEEM, 2010, p. 1184-1188en_US
dc.identifier.isbn978-1-4244-8501-7-
dc.identifier.urihttp://hdl.handle.net/10722/129973-
dc.description.abstractToday's social awareness of environmental protection presents the electronic companies with an irreversible trend towards green manufacturing. It raises harsh requirement for the sourcing process and imposes unprecedented pressure to the QA system, majorly due to the risk of hazardous material. As QA procedures are becoming more complicated for coping with increasing material risk and meanwhile the time and resource available are tightly constrained, the development of an effective mechanism for material testing turns up to be a critical issue. In this study, a hierarchical material risk assessment approach is proposed based on FMEA framework. Taking into account the risk occurrence, the difficulty in detection and the severity the risk causes, it enables companies to estimate their material risks dynamically using Bayesian network. With its help, companies can assess and prioritize the material risk in a systematic and efficient manner which will drive QA towards a more high-performance process. ©2010 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE.en_US
dc.relation.ispartofIEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Managementen_HK
dc.rightsIEEE International Conference on Industrial Engineering and Engineering Management. Copyright © IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectDecision methoden_HK
dc.subjectGreen supply chainen_HK
dc.subjectMaterial risken_HK
dc.titleA hierarchical assessment method using bayesian network for material risk detection on green supply chainen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=978-1-4244-8501-7&volume=&spage=1184&epage=1188 &date=2010&atitle=A+hierarchical+assessment+method+using+Bayesian+network+for+material+risk+detection+on+green+supply+chain-
dc.identifier.emailYen, BPC: benyen@hkucc.hku.hken_HK
dc.identifier.authorityYen, BPC=rp01121en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/IEEM.2010.5674342en_HK
dc.identifier.scopuseid_2-s2.0-78751683230en_HK
dc.identifier.hkuros177795en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78751683230&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage1184en_HK
dc.identifier.epage1188en_HK
dc.description.otherThe IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2010), Macao, China, 7-10 December 2010. In Proceedings of IEEM, 2010, p. 1184-1188-
dc.identifier.scopusauthoridYen, BPC=7102564239en_HK
dc.identifier.scopusauthoridZeng, B=36835959800en_HK

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