scholarly journals A Prototype AHP System for Contractor Selection Decision

Author(s):  
Emmanuel O. Oyatoye ◽  
Adedotun A. Odulana
2017 ◽  
Vol 24 (1) ◽  
pp. 61-77 ◽  
Author(s):  
Nabil Semaan ◽  
Michael Salem

Purpose The construction industry today is one of the biggest industries in the world. As projects continue to grow in complexity, project management continues to evolve. Contractor selection is a difficult task that owners and project managers face. Although previously researchers have worked on the subject of contractor selection, a comprehensive decision support system for contractor selection has not yet been developed. Recent reports of major delays and cost overruns in mega projects highlight the need for a model that is able to be flexible and comprehensive becomes evident. The paper aims to discuss these issues. Design/methodology/approach The research focuses on obtaining insights from field experts using both quantitative and qualitative methods. Then, a model was developed in the light of the data collected. Accordingly, the model was tested on a case study. Findings This paper presents a model for contractor selection that is wholesome in its take on the topic. The model incorporates both managerial and technical aspects of the problem. The model was tested on a case study and it was proven to be feasible in real world applications. The contractor selection decision support system serves the needs of both academics and industry managers, as an integral part of project management. Originality/value The model presented in this paper is innovative in its take on the problems. MCDA tools have been uniquely modified in this paper to cater to the needs of the selection problem while accounting for the criteria hierarchy that incorporates aspects that are instrumental for proper evaluation of a contractor’s likelihood of success.


Author(s):  
Hsien-Kuan Chang ◽  
Wen-Der Yu ◽  
Yuan-Yu Hsu ◽  
Shao-Tsai Cheng ◽  
Kwo-Wuu Wang

2021 ◽  
Vol 13 (12) ◽  
pp. 6933
Author(s):  
Aziz Naghizadeh Vardin ◽  
Ramin Ansari ◽  
Mohammad Khalilzadeh ◽  
Jurgita Antucheviciene ◽  
Romualdas Bausys

Sustainable development of any country to some extent depends on successful accomplishment of construction projects, particularly infrastructures. Contractors have a key role in the success of these projects. Hence, the selection of a competent contractor as a complicated and hard decision process has a vital importance in the destiny of any construction project. Contractor selection is in essence a multicriteria decision-making that ought to encompass so many aspects of the project and the client’s requirements on one hand and the capabilities and past records of the contractors on the other hand. Failure in selecting a competent contractor may cause time and cost overruns; quality shortcomings; increasing in claims, disputes and change orders; and even failure of the project. In spite of deficiencies of selecting a contractor by the rule of “the lowest bid price”, it still prevails in many countries including Iran. In this paper, a new contractor selection model based on the best-worst method (BWM) and well-known Fuzzy-VIKOR techniques is proposed as a solution to overcome the deficiencies of the traditional “lowest bid price” rule. An illustrative example of a water channel construction project verified the applicability of the proposed model in practice.


2015 ◽  
Vol 31 (5) ◽  
pp. 04014070 ◽  
Author(s):  
Bo Xia ◽  
Qing Chen ◽  
Yelin Xu ◽  
Mei Li ◽  
Xiaohua Jin

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