Enhancing Subcontractor Selection in Construction Projects Using the Analytic Hierarchy Process (AHP)

Abstract

The increasing complexity of construction projects and the growing demand for specialized contractors have made subcontractors essential stakeholders in the successful delivery of construction activities. However, selecting a professional, highly qualified, and efficient subcontractor remains one of the most critical challenges in the construction industry. Traditionally, subcontractor selection has relied primarily on the lowest bid price, a subjective approach that often fails to ensure the best choice. In reality, subcontractor selection is a complex, multi-criteria decision-making (MCDM) problem. This research aims to develop a systematic and structured model to enhance the subcontractor selection process. The model is based on the Analytic Hierarchy Process (AHP), a widely recognized MCDM technique. The proposed model was validated through a case study, demonstrating its simplicity, practicality, and effectiveness in supporting informed decision-making and identifying the most suitable subcontractor.