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Article: Formulating procurement selection criteria through case-based reasoning approach

TitleFormulating procurement selection criteria through case-based reasoning approach
Authors
KeywordsConstruction industry
Decision support systems
Project management
Selection
Issue Date2005
PublisherAmerican Society of Civil Engineers.
Citation
Journal Of Computing In Civil Engineering, 2005, v. 19 n. 3, p. 269-276 How to Cite?
AbstractAn appropriate procurement system is a catalyst to the success of a construction project. In practice, the solutions and outcomes of previous procurement selection decisions could be extremely useful in supporting decision making. As a technique that captures and reuses experiential knowledge, case-based reasoning (CBR) has a high potential for modeling the procurement selection decision within a complex dynamic environment. This paper examines the suitability of CBR approaches for procurement selection. The process involved in procurement selection is examined first. A conceptual framework for case-based procurement selection is proposed. The structure of a prototype model on procurement selection criteria (PSC) formulation is presented in this paper. The model applies the CBR approach to procurement criteria selection irrespective of the variability in the characteristics of the client, project, and external environment. © ASCE.
Persistent Identifierhttp://hdl.handle.net/10722/71720
ISSN
2023 Impact Factor: 4.7
2023 SCImago Journal Rankings: 1.137
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLuu, DTen_HK
dc.contributor.authorNg, STen_HK
dc.contributor.authorChen, SEen_HK
dc.date.accessioned2010-09-06T06:34:33Z-
dc.date.available2010-09-06T06:34:33Z-
dc.date.issued2005en_HK
dc.identifier.citationJournal Of Computing In Civil Engineering, 2005, v. 19 n. 3, p. 269-276en_HK
dc.identifier.issn0887-3801en_HK
dc.identifier.urihttp://hdl.handle.net/10722/71720-
dc.description.abstractAn appropriate procurement system is a catalyst to the success of a construction project. In practice, the solutions and outcomes of previous procurement selection decisions could be extremely useful in supporting decision making. As a technique that captures and reuses experiential knowledge, case-based reasoning (CBR) has a high potential for modeling the procurement selection decision within a complex dynamic environment. This paper examines the suitability of CBR approaches for procurement selection. The process involved in procurement selection is examined first. A conceptual framework for case-based procurement selection is proposed. The structure of a prototype model on procurement selection criteria (PSC) formulation is presented in this paper. The model applies the CBR approach to procurement criteria selection irrespective of the variability in the characteristics of the client, project, and external environment. © ASCE.en_HK
dc.languageengen_HK
dc.publisherAmerican Society of Civil Engineers.en_HK
dc.relation.ispartofJournal of Computing in Civil Engineeringen_HK
dc.rightsJournal of Computing in Civil Engineering, ASCE. Copyright © American Society of Civil Engineers.en_HK
dc.subjectConstruction industryen_HK
dc.subjectDecision support systemsen_HK
dc.subjectProject managementen_HK
dc.subjectSelectionen_HK
dc.titleFormulating procurement selection criteria through case-based reasoning approachen_HK
dc.typeArticleen_HK
dc.identifier.emailNg, ST:tstng@hkucc.hku.hken_HK
dc.identifier.authorityNg, ST=rp00158en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1061/(ASCE)0887-3801(2005)19:3(269)en_HK
dc.identifier.scopuseid_2-s2.0-23244439235en_HK
dc.identifier.hkuros102472en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-23244439235&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume19en_HK
dc.identifier.issue3en_HK
dc.identifier.spage269en_HK
dc.identifier.epage276en_HK
dc.identifier.isiWOS:000230189800005-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLuu, DT=6701536744en_HK
dc.identifier.scopusauthoridNg, ST=7403358853en_HK
dc.identifier.scopusauthoridChen, SE=7410252773en_HK
dc.identifier.issnl0887-3801-

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