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Article: A case-based procurement advisory system for construction

TitleA case-based procurement advisory system for construction
Authors
KeywordsCase-based reasoning
Construction procurement
Fuzzy similarity retrieval
Procurement selection
Issue Date2003
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/advengsoft
Citation
Advances In Engineering Software, 2003, v. 34 n. 7, p. 429-438 How to Cite?
AbstractThe selection and use of an appropriate procurement system are fundamental to the success of a construction project. However, the procurement selection process involves the analysis of complex and dynamic criteria such as cost certainty, time certainty, speed, flexibility, etc. Procurement selection is, therefore, plagued with uncertainty and vagueness that is difficult to be represented by a generalized set of rules. In reality, decisions in procurement selection are usually derived from intuition and past experience. Case-based reasoning (CBR) appears to be an appropriate approach to meet the requirements of the procurement selection process because of the value of experiential knowledge. This paper reviews the practicality and suitability of a CBR approach for procurement selection through the development of a prototype case-based procurement advisory system. In this prototype system, procurement selection cases are represented by a set of attributes elicited from experienced procurement experts. The system is powered by a fuzzy similarity retrieval mechanism, which gives a greater accuracy than the normal similarity retrieval process. The results indicate that the CBR approach can suitably model the characteristics of construction procurement selection, and provide an indication of potential outcomes to any apparently suitable procurement methods. © 2003 Elsevier Science Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/70961
ISSN
2015 Impact Factor: 1.673
2015 SCImago Journal Rankings: 0.812
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLuu, DTen_HK
dc.contributor.authorThomas Ng, Sen_HK
dc.contributor.authorChen, SEen_HK
dc.date.accessioned2010-09-06T06:27:39Z-
dc.date.available2010-09-06T06:27:39Z-
dc.date.issued2003en_HK
dc.identifier.citationAdvances In Engineering Software, 2003, v. 34 n. 7, p. 429-438en_HK
dc.identifier.issn0965-9978en_HK
dc.identifier.urihttp://hdl.handle.net/10722/70961-
dc.description.abstractThe selection and use of an appropriate procurement system are fundamental to the success of a construction project. However, the procurement selection process involves the analysis of complex and dynamic criteria such as cost certainty, time certainty, speed, flexibility, etc. Procurement selection is, therefore, plagued with uncertainty and vagueness that is difficult to be represented by a generalized set of rules. In reality, decisions in procurement selection are usually derived from intuition and past experience. Case-based reasoning (CBR) appears to be an appropriate approach to meet the requirements of the procurement selection process because of the value of experiential knowledge. This paper reviews the practicality and suitability of a CBR approach for procurement selection through the development of a prototype case-based procurement advisory system. In this prototype system, procurement selection cases are represented by a set of attributes elicited from experienced procurement experts. The system is powered by a fuzzy similarity retrieval mechanism, which gives a greater accuracy than the normal similarity retrieval process. The results indicate that the CBR approach can suitably model the characteristics of construction procurement selection, and provide an indication of potential outcomes to any apparently suitable procurement methods. © 2003 Elsevier Science Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/advengsoften_HK
dc.relation.ispartofAdvances in Engineering Softwareen_HK
dc.subjectCase-based reasoningen_HK
dc.subjectConstruction procurementen_HK
dc.subjectFuzzy similarity retrievalen_HK
dc.subjectProcurement selectionen_HK
dc.titleA case-based procurement advisory system for constructionen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0965-9978&volume=34&issue=7&spage=429&epage=438&date=2003&atitle=A+case-based+procurement+advisory+system+for+constructionen_HK
dc.identifier.emailThomas Ng, S:tstng@hkucc.hku.hken_HK
dc.identifier.authorityThomas Ng, S=rp00158en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/S0965-9978(03)00043-7en_HK
dc.identifier.scopuseid_2-s2.0-0038823873en_HK
dc.identifier.hkuros80994en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0038823873&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume34en_HK
dc.identifier.issue7en_HK
dc.identifier.spage429en_HK
dc.identifier.epage438en_HK
dc.identifier.isiWOS:000183248600004-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridLuu, DT=6701536744en_HK
dc.identifier.scopusauthoridThomas Ng, S=7403358853en_HK
dc.identifier.scopusauthoridChen, SE=7410252773en_HK

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