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- Publisher Website: 10.1109/IEEM.2010.5674342
- Scopus: eid_2-s2.0-78751683230
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Conference Paper: A hierarchical assessment method using bayesian network for material risk detection on green supply chain
Title | A hierarchical assessment method using bayesian network for material risk detection on green supply chain |
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Authors | |
Keywords | Decision method Green supply chain Material risk |
Issue Date | 2010 |
Publisher | IEEE. |
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? |
Abstract | Today'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 Identifier | http://hdl.handle.net/10722/129973 |
ISBN | |
References |
DC Field | Value | Language |
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dc.contributor.author | Yen, BPC | en_HK |
dc.contributor.author | Zeng, B | en_HK |
dc.date.accessioned | 2010-12-23T08:44:58Z | - |
dc.date.available | 2010-12-23T08:44:58Z | - |
dc.date.issued | 2010 | en_HK |
dc.identifier.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 | en_US |
dc.identifier.isbn | 978-1-4244-8501-7 | - |
dc.identifier.uri | http://hdl.handle.net/10722/129973 | - |
dc.description.abstract | Today'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.language | eng | en_US |
dc.publisher | IEEE. | en_US |
dc.relation.ispartof | IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management | en_HK |
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.subject | Decision method | en_HK |
dc.subject | Green supply chain | en_HK |
dc.subject | Material risk | en_HK |
dc.title | A hierarchical assessment method using bayesian network for material risk detection on green supply chain | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.openurl | http://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.email | Yen, BPC: benyen@hkucc.hku.hk | en_HK |
dc.identifier.authority | Yen, BPC=rp01121 | en_HK |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1109/IEEM.2010.5674342 | en_HK |
dc.identifier.scopus | eid_2-s2.0-78751683230 | en_HK |
dc.identifier.hkuros | 177795 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-78751683230&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.spage | 1184 | en_HK |
dc.identifier.epage | 1188 | en_HK |
dc.description.other | 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 | - |
dc.identifier.scopusauthorid | Yen, BPC=7102564239 | en_HK |
dc.identifier.scopusauthorid | Zeng, B=36835959800 | en_HK |