Developing a generic fuzzy multi-attribute analysis model for EPC contractor selection

Purpose – This study introduces a novel fuzzy multi-attribute analysis (FMAA) model to enhance decision-making in engineering-procurement-construction (EPC) contractor selection by effectively addressing the complexities and uncertainties inherent in these processes. Design/methodology/approach – The FMAA model was developed through a comprehensive methodology comprising an extensive literature review to identify challenges and criteria in contractor selection, expert consultations to refine the model framework, and validation via in-depth interviews with experienced EPC project managers. Key steps include defining selection criteria, determining appropriate weights, and employing fuzzy set theory to manage uncertainties. Findings – Compared to traditional methods, the FMAA model offers a structured and scalable approach to contractor selection, effectively reducing uncertainty and enhancing decision-making accuracy. Validation through expert interviews confirmed its practical relevance and adaptability across diverse EPC project contexts. Research limitations/implications – While the model provides valuable insights, further research utilizing quantitative validation methods and case studies is essential to assess its applicability across various construction sectors and geographical regions. Practical implications – By adopting the FMAA model, project managers can systematically evaluate contractors, ensuring the selection of candidates best suited to achieve long-term project success and sustainability. Social implications – Structured decision-making frameworks like the FMAA model promote improved project outcomes and sustainable practices, contributing to enhanced performance within the construction industry. Originality/value – This study advances contractor selection methodologies by integrating contemporary decision-making approaches with empirical validation, addressing critical gaps in managing the complexity and uncertainty inherent in EPC projects.