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, 42(3), pp. 369-385. ISSN 23984708
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | engineering, procurement and construction contractor prequalification; fuzzy sets theory; multi-criteria decision-making problem; uncertainty; weighted average |
| Index terms: | literature review, multi-criteria decision-making, construction contractor, methodology, fuzzy set, case study, fuzzy logic, implementation, infrastructure project |
| Subjects: | data science, contractual arrangements, data analysis and analytics, practitioner, data collection methods, decision-making and optimization, infrastructure and transport systems, decision analysis, research methods |
| Topics: | Roles and Professions, Risk Management, Procurement, Engineering Principles, Research Practice, Digital Applications |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here