A fuzzy multi-criteria decision-making model for contractor prequalification for corporate fitout projects in Hong Kong

一個基於模糊多準則決策的香港企業室內裝修承建商資格預審模型

Student thesis: Doctoral Thesis

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Author(s)

  • Man Chung Julian LI

Detail(s)

Awarding Institution
Supervisors/Advisors
Award date2 Oct 2013

Abstract

The office rental market has always been one of the major economic activities in Hong Kong; the demand for prime office space is constantly increasing due to the limited supply. There are corporate fitout projects in both economic growth and concession because of its unique characteristics. In this respect, corporate fitout projects have become one of the most important sectors in the construction industry in Hong Kong nowadays. According to reported research studies and government publications, there is widespread public concern about the quality and performance of renovation contractors and decorators. Indeed, there is a lack of monitoring and control by the government towards this specific sector. Since there is increasing demand for fitout construction works in the industry, it is important to establish an effective system or procedure to ensure that interior fitout contractors have sufficient knowledge and experience prior to carrying out construction works. Contractor prequalification is a critical part of procuring a corporate fitout project in order to find the best contractor with the most suitable experience and capabilities for the respective project environment; however, there is a lack of attention given to contractor prequalification in this specific field. The aim of this research is to enhance the contractor prequalification assessment for the corporate fitout projects in Hong Kong's construction industry, by developing a corporate fitout contractor prequalification (CFCP) model based on the analytic hierarchy process (AHP), fuzzy set theory and the technique for order preference by similarity to ideal solution (TOPSIS), to handle the complex decision-making in this specific sector under a fuzzy environment. AHP is applied to analyse the structure of the ranking problem and to determine weights of the contractor prequalification criteria. The Fuzzy TOPSIS method is used to generate the final ranking of the contractors. This research establishes a specific set of contractor prequalification criteria for corporate fitout projects in Hong Kong through a questionnaire survey. The 16 criteria include current workload, ability, experience of staff, project planning, financial stability, past experience, type of project, time performance, contract failure, success of completed projects, project manager performance, cooperativeness, client satisfaction, human resources, quality control and health and safety records, and the weighting of these specific criteria are also obtained from the industry professionals through interviews with experts. Furthermore, a computing program based on the AHP - Fuzzy TOPSIS method was developed to assist industry professionals to use this model efficiently. The finding of this research shows that the proposed CFCP model is effective and efficient in assisting decision makers to evaluate the contractor during the prequalification process in relation to corporate fitout projects, and the results also prove its validity and applicability. This research provides in-depth understanding of the contractor prequalification evaluation for corporate fitout projects in Hong Kong, and also provides an alternative method for industry professionals to achieve excellent project performance by adopting different techniques.

    Research areas

  • Selection and appointment, Contractors, Multiple criteria decision making