[논문]A Fuzzy AHP Model for Selection of Consultant Contractor in Bidding Phase in Vietnam

Ha, Tran Thanh; Hoai, Long Le; Lee, Young Dai

doi:10.6106/jcepm.2015.5.2.035

A Fuzzy AHP Model for Selection of Consultant Contractor in Bidding Phase in Vietnam 원문보기

Journal of construction engineering and project management, v.5 no.2, 2015년, pp.35 - 43

Ha, Tran Thanh (University of Technology, National University of Hochiminh City) , Hoai, Long Le (Faculty of Civil Engineering, University of Technology, National University of Hochiminh City) , Lee, Young Dai (Dept. of Civil and Construction Engineering, Pukyong National University)

Abstract ▼ AI-Helper

Project Management Consultant (PMC) plays a vital role in the overall performance of any project. Selecting right PMC for right project is the most crucial challenge for any construction owner. Thus, PMC selection is one of the main decisions made by owners at the early phase of construction project. It is not easy for the project owner to select a competent PMC due to the fuzziness, imprecision, vagueness, incomplete and qualitative criteria of the decision. This paper presents a model for selecting PMC contractor using the Fuzzy Analytical Hierarchy Process (FAHP). And a fuzzy number based framework is proposed to be a viable method for PMC contractor selection. A case study to illustrate the application of the model is also presented in this paper.

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문제 정의

The findings of this study provide some practical guidelines useful not only to Vietnamese practitioners but also to others who are concerned about PMC selection. Hence, this model is not only a theoretical model, but also a feasible and efficient framework to apply in practice for a practitioner.
Russell and Skibniewski (1988) also pointed out that contractor selection is a decision-making process that involves the development and consideration of a wide range of necessary and sufficient decision criteria as well as the participation of many decisionmaking parties. The research reported in this paper is a part of a study that aims at developing a state-of-the-art model using fuzzy analytical hierarchy process (FAHP) to improve the objectiveness of PMC selection.
Criteria for PMC’s selection may vary between projects since the characteristics of them are distinct although there are some common characteristics of process (Nieto-Morote and Ruz-Vila, 2012). The starting point of this research is to indentify criteria for PMC selection. At first, a list of criteria is established thanks to reviewing previous works.
The above-mentioned methods had both advantages and drawbacks though they focused on improving various aspects of bidder selection. This study presents a proposal of a fuzzy AHP approach. This approach has overcome some limitations of traditional AHP method.

제안 방법

PMC selection is a multi-criteria decision making process. This study proposed a FAHP-based process for PMC selection.

대상 데이터

The interview was conducted with the participation of eighteen experienced experts as aforementioned. The respondents were required to provide their judgment by comparing all criteria, sub-criteria with respect to upper level decision elements by using the fuzzy relative scale as shown in Table II.
At first, a list of criteria is established thanks to reviewing previous works. To test the appropriateness and popularity of the criteria in the list with Vietnamese context, then a semistructured interview is organized with the participation of eighteen experienced experts. They all have at least ten years of experience in project management and bidding field.

이론/모형

This step aims at converting fuzzy data into crisp data. This paper adopted the defuzzifaction method proposed by Deng (1999). This method has two remarkable advantages (Deng, 1999):
Uncertain and vague data in decision-making problems can be handed using the Fuzzy Set Theory introduced by Zadeh (1965). In a universal set of discourse X, a fuzzy subset A of X is defined by a membership function μ_A(x), which maps each element x in X to a real number in the interval [0,1].

성능/효과

The results depicted a little sensitivity of weights in both respondents’ attitudes and degree of confidence.

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A Fuzzy AHP Model for Selection of Consultant Contractor in Bidding Phase in Vietnam 원문보기

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A Fuzzy AHP Model for Selection of Consultant Contractor in Bidding Phase in Vietnam 원문보기

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