Multi-criteria decision-making model for EPC contractor prequalification: a hybrid approach
International Journal of Building Pathology and Adaptation
ISSN: 2398-4708
Article publication date: 20 October 2021
Issue publication date: 13 May 2024
Abstract
Purpose
Nowadays, engineering, procurement and construction (EPC) contracts are being widely used to perform industrial and infrastructure projects because of several reasons like high speed of implementation. However, these contracts are always accompanied by high risks and uncertainties. Thus, selection of the right EPC contractor has significant importance. This paper aims to present a fuzzy multi-criteria decision-making (MCDM) model for EPC contractor prequalification.
Design/methodology/approach
First, the EPC contractor prequalification criteria are defined by using literature review and interviewing experts. Second, the weights of criteria are determined by interviewing experts. Then, each EPC contractor is evaluated in each criterion. Finally, fuzzy weighted average (FWA) approach is employed to select the right contractor among potential EPC contractors.
Findings
The proposed model is prepared as an applicable model for clients to select the right EPC contractors among contractors who want to conduct the project.
Originality/value
As a lack of applicable model does exist to assign the prequalification of EPC contractors, this study is one of the first research studies which proposed a fuzzy MCDM model for evaluation of EPC contractors. To cope with the uncertainty of the prequalification problem, fuzzy logic has been used. Using fuzzy sets leads to reaching more reliable results. Also, a real case study is provided to explain the proposed model.
Keywords
Citation
Amiri, O., Rahimi, M., Ayazi, A. and Khazaeni, G. (2024), "Multi-criteria decision-making model for EPC contractor prequalification: a hybrid approach", International Journal of Building Pathology and Adaptation, Vol. 42 No. 3, pp. 369-385. https://doi.org/10.1108/IJBPA-06-2021-0082
Publisher
:Emerald Publishing Limited
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