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- Publisher Website: 10.1243/095440502760272421
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Article: A fuzzy basis channel-spanning performance measurement method for supply chain management
Title | A fuzzy basis channel-spanning performance measurement method for supply chain management |
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Authors | |
Keywords | Fuzzy set theory Performance measurement Process-based model Supply chain management System perspective Weighted average aggregation method |
Issue Date | 2002 |
Publisher | Professional Engineering Publishing Ltd. The Journal's web site is located at http://journals.pepublishing.com/link.asp?id=119784 |
Citation | Proceedings Of The Institution Of Mechanical Engineers, Part B: Journal Of Engineering Manufacture, 2002, v. 216 n. 8, p. 1155-1167 How to Cite? |
Abstract | Nowadays supply chain management has gained a tremendous amount of attention from both academics and practitioners. It provides an innovative management technology in order to assist enterprises to survive in the ever-increasing business competition and to sustain competitive advantages. Although there is an ever-increasing amount of literature addressing theories and practices of supply chain management, the existing performance measurement methods fail to provide significant assistance in supply chain development and an effective method is lacking. The objective of this paper is to propose an innovative channel-spanning performance measurement method from a system perspective. Fuzzy set theory is introduced to address the real situation in the judgement and evaluation processes. A simple example is given. The whole framework of this method is outlined with some suggestions, which, if appropriately applied, aims to facilitate performance improvement of supply chains. |
Persistent Identifier | http://hdl.handle.net/10722/74299 |
ISSN | 2023 Impact Factor: 1.9 2023 SCImago Journal Rankings: 0.661 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Chan, FTS | en_HK |
dc.contributor.author | Qi, HJ | en_HK |
dc.date.accessioned | 2010-09-06T06:59:55Z | - |
dc.date.available | 2010-09-06T06:59:55Z | - |
dc.date.issued | 2002 | en_HK |
dc.identifier.citation | Proceedings Of The Institution Of Mechanical Engineers, Part B: Journal Of Engineering Manufacture, 2002, v. 216 n. 8, p. 1155-1167 | en_HK |
dc.identifier.issn | 0954-4054 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/74299 | - |
dc.description.abstract | Nowadays supply chain management has gained a tremendous amount of attention from both academics and practitioners. It provides an innovative management technology in order to assist enterprises to survive in the ever-increasing business competition and to sustain competitive advantages. Although there is an ever-increasing amount of literature addressing theories and practices of supply chain management, the existing performance measurement methods fail to provide significant assistance in supply chain development and an effective method is lacking. The objective of this paper is to propose an innovative channel-spanning performance measurement method from a system perspective. Fuzzy set theory is introduced to address the real situation in the judgement and evaluation processes. A simple example is given. The whole framework of this method is outlined with some suggestions, which, if appropriately applied, aims to facilitate performance improvement of supply chains. | en_HK |
dc.language | eng | en_HK |
dc.publisher | Professional Engineering Publishing Ltd. The Journal's web site is located at http://journals.pepublishing.com/link.asp?id=119784 | en_HK |
dc.relation.ispartof | Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture | en_HK |
dc.subject | Fuzzy set theory | en_HK |
dc.subject | Performance measurement | en_HK |
dc.subject | Process-based model | en_HK |
dc.subject | Supply chain management | en_HK |
dc.subject | System perspective | en_HK |
dc.subject | Weighted average aggregation method | en_HK |
dc.title | A fuzzy basis channel-spanning performance measurement method for supply chain management | en_HK |
dc.type | Article | en_HK |
dc.identifier.email | Chan, FTS: ftschan@hkucc.hku.hk | en_HK |
dc.identifier.authority | Chan, FTS=rp00090 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1243/095440502760272421 | en_HK |
dc.identifier.scopus | eid_2-s2.0-0036036661 | en_HK |
dc.identifier.hkuros | 76066 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0036036661&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 216 | en_HK |
dc.identifier.issue | 8 | en_HK |
dc.identifier.spage | 1155 | en_HK |
dc.identifier.epage | 1167 | en_HK |
dc.identifier.isi | WOS:000178328300007 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.identifier.scopusauthorid | Chan, FTS=7202586517 | en_HK |
dc.identifier.scopusauthorid | Qi, HJ=7202348299 | en_HK |
dc.identifier.issnl | 0954-4054 | - |