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Article: Monitoring the supply of products in a supply chain environment: A fuzzy neural approach

TitleMonitoring the supply of products in a supply chain environment: A fuzzy neural approach
Authors
KeywordsComputational intelligence
Fuzzy logic
Machine intelligence
Neural networks
Supply chain network
Issue Date2002
PublisherElsevier Ltd.
Citation
Expert Systems, 2002, v. 19 n. 4, p. 235-243 How to Cite?
AbstractFuzzy logic principles and neural networks, both being computational intelligence technologies, can be combined to produce synergetic effects through the formation of a unified approach which takes advantage of the benefits and at the same time counterbalances the flaws of the two technologies. In this paper, a fuzzy neural approach, which is characterized by its ability to suggest the appropriate adjustment of product quantity from various suppliers with different quality standards in a supply chain network, is presented. This approach is particularly useful in situations where multiple supply chain partners are involved to achieve the common objective of producing products to the best satisfaction of customer demands at the lowest possible cost. To validate the feasibility of this approach, a test has been conducted based on the proposed fuzzy neural approach with the objective of suggesting the appropriate selection of suppliers and the optimal quantity allocated to them to meet the required quality standards. This paper describes the methodology for the deployment of this proposed hybrid approach to enhance the machine intelligence of a supply chain network with the description of a case study to exemplify its underlying principles.
Persistent Identifierhttp://hdl.handle.net/10722/74270
ISSN
2015 Impact Factor: 0.947
2015 SCImago Journal Rankings: 0.496
References

 

DC FieldValueLanguage
dc.contributor.authorLau, HCWen_HK
dc.contributor.authorHui, IKen_HK
dc.contributor.authorChan, FTSen_HK
dc.contributor.authorWong, CWYen_HK
dc.date.accessioned2010-09-06T06:59:38Z-
dc.date.available2010-09-06T06:59:38Z-
dc.date.issued2002en_HK
dc.identifier.citationExpert Systems, 2002, v. 19 n. 4, p. 235-243en_HK
dc.identifier.issn0266-4720en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74270-
dc.description.abstractFuzzy logic principles and neural networks, both being computational intelligence technologies, can be combined to produce synergetic effects through the formation of a unified approach which takes advantage of the benefits and at the same time counterbalances the flaws of the two technologies. In this paper, a fuzzy neural approach, which is characterized by its ability to suggest the appropriate adjustment of product quantity from various suppliers with different quality standards in a supply chain network, is presented. This approach is particularly useful in situations where multiple supply chain partners are involved to achieve the common objective of producing products to the best satisfaction of customer demands at the lowest possible cost. To validate the feasibility of this approach, a test has been conducted based on the proposed fuzzy neural approach with the objective of suggesting the appropriate selection of suppliers and the optimal quantity allocated to them to meet the required quality standards. This paper describes the methodology for the deployment of this proposed hybrid approach to enhance the machine intelligence of a supply chain network with the description of a case study to exemplify its underlying principles.en_HK
dc.languageengen_HK
dc.publisherElsevier Ltd.en_HK
dc.relation.ispartofExpert Systemsen_HK
dc.rightsInternational Journal of Expert Systems. Copyright © Elsevier Ltd.en_HK
dc.subjectComputational intelligenceen_HK
dc.subjectFuzzy logicen_HK
dc.subjectMachine intelligenceen_HK
dc.subjectNeural networksen_HK
dc.subjectSupply chain networken_HK
dc.titleMonitoring the supply of products in a supply chain environment: A fuzzy neural approachen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0894-9077&volume=19&issue=4&spage=235&epage=243&date=2002&atitle=Monitoring+the+supply+of+products+in+a+supply+chain+environment:+a+fuzzy+neural+approachen_HK
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hken_HK
dc.identifier.authorityChan, FTS=rp00090en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-0036744231en_HK
dc.identifier.hkuros80612en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0036744231&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume19en_HK
dc.identifier.issue4en_HK
dc.identifier.spage235en_HK
dc.identifier.epage243en_HK
dc.identifier.scopusauthoridLau, HCW=7201497785en_HK
dc.identifier.scopusauthoridHui, IK=7004838791en_HK
dc.identifier.scopusauthoridChan, FTS=7202586517en_HK
dc.identifier.scopusauthoridWong, CWY=7404954357en_HK

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