Fuzzy procurement selection model for construction projects

Chan, Caroline T. W.

doi:10.1080/01446190701209933

Cited by 50 publications

(34 citation statements)

References 12 publications

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“…(8) and(9)) reserves the effects of all the risk factors and risk 633 categories, and an upper limit of 1 is required as the weightings of 634 the risk factors and risk categories are normalized(Hsiao, 1998). In 635 addition, it is widely used in a fuzzy multi-criteria decision environ-636 ment(Chan, 2007;Lo, 1999;Yeung et al, 2010).637 The weighted mean method ðMð; ÈÞÞ, ''È'' denotes that 1 is the upper limit when the weight-643 ings are normalized Hsiao (1998). explained that 'the characteristic 644 of this operation is that when the weighting functions are normal-645 ized, P m i¼1 w in ¼ 1, the operator ''È'' will regress to the addition will then form the fuzzy matrix,652 R, for evaluating overall risk level (probability or severity)…”

mentioning

confidence: 99%

Evaluation and ranking of risk factors in public–private partnership water supply projects in developing countries using fuzzy synthetic evaluation approach

Ameyaw

Chan

2015

Expert Systems with Applications

194

138

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mentioning

confidence: 99%

Evaluation and ranking of risk factors in public–private partnership water supply projects in developing countries using fuzzy synthetic evaluation approach

Ameyaw

Chan

2015

Expert Systems with Applications

194

138

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“…After the establishment of fuzzy membership functions for each selection criterion, the performance matrix, R and is widely used in the decision-making environment (Chan, 2007).…”

Section: Fuzzy Multi-criteria Decision-making Model and Selection Rulementioning

confidence: 99%

Developing a Fuzzy Multicriteria Decision-Making Model for Selecting Design-Build Operational Variations

Xia

Chan

Yeung

2011

J. Constr. Eng. Manage.

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Many academic researchers have conducted studies on the selection of design-build (DB) delivery method; however, there are few studies on the selection of DB operational variations, which poses challenges to many clients. The selection of DB operational variation is a multi-criteria decision making process that requires clients to objectively evaluate the performance of each DB operational variation with reference to the selection criteria. This evaluation process is often characterized by subjectivity and uncertainty. In order to resolve this deficiency, the current investigation aimed to establish a fuzzy multicriteria decision-making (FMCDM) model for selecting the most suitable DB operational variation. A three-round Delphi questionnaire survey was conducted to identify the selection criteria and their relative importance. A fuzzy set theory approach, namely the modified horizontal approach with the bisector error method, was applied to establish the fuzzy membership functions, which enables clients to perform quantitative calculations on the performance of each DB operational variation. The FMCDM was developed using the weighted mean method to aggregate the overall performance of DB operational variations with regard to the selection criteria. The proposed FMCDM model enables clients to perform quantitative calculations in a fuzzy decision-making environment and provides a useful tool to cope with different project attributes.

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“…Other factors, such as complexity of work to be executed, responsibility (which is the knowledge of the degree of client's involvement), price competition (which covers the aspects of value for money), risk allocation, familiarity with the procurement system by the client/his (her) professionals and government policies, have been deemed as important in the selection of a procurement system (Chan 2007;Edmond et al 2008;El-Agha 2013;Hibberd and Djebarni 1996;Love et al 1998;Luu et al 2005;Maizon et al 2006;Ratnasabapathy et al 2006;Ng et al 2002). All these factors formed the basis for the assessment of the factors influencing the selection of procurement method in the delivery of public projects in this study.…”

Section: Reserach Methodologymentioning

confidence: 99%

Cost and time performance of traditional-, direct labour- and management-procured public projects in Ondo State, Nigeria

Aghimien

Osanyinro²,

Adegbembo

2017

Organization, Technology and Management in Construction: An International Journal

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Procurement method over time has proven to have significant influence on the successful delivery of construction projects. Making the right decision in the selection of a procurement option to adopt is therefore crucial if a project is to succeed. This study therefore assessed the cost and time performance of selected public building projects procured using traditional, direct labour and management procurement options in Ondo State, Nigeria. A pro forma was used to gather cost and time data from government procuring entities in the state. In addition, a structured questionnaire was used to obtain information from construction professionals in these procuring entities, in order to ascertain the factors influencing the choice of procurement options adopted. The cost and time data gathered were analyzed using percentages and the paired-samples t-test, while those gathered on the factors influencing the choice of procurement options were analyzed using mean item scores and analysis of variance (ANOVA). The results revealed that although there is no significant difference between the initial and final costs of the assessed projects, some measure of cost overrun still exists. In addition, a considerable amount of time overrun was experienced on projects executed using the three different procurement options. The most significant factors influencing the choice of a procurement option are price competition, speed, time certainty and complexity of the project. It is believed that the findings of this study will provide public procuring entities with insight on the cost and time capability of these procurement methods and aid them in selecting the procurement option that will help in delivering public building projects within the budget and on schedule.

show abstract

Fuzzy procurement selection model for construction projects

Cited by 50 publications

References 12 publications

Evaluation and ranking of risk factors in public–private partnership water supply projects in developing countries using fuzzy synthetic evaluation approach

Evaluation and ranking of risk factors in public–private partnership water supply projects in developing countries using fuzzy synthetic evaluation approach

Developing a Fuzzy Multicriteria Decision-Making Model for Selecting Design-Build Operational Variations

Cost and time performance of traditional-, direct labour- and management-procured public projects in Ondo State, Nigeria

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