Computational model for measuring project complexity in construction

Abstract

As construction projects are increasingly complex, a systematic approach for assessing their complexity is imperative. The Fuzzy Analytic Hierarchy Process (Fuzzy AHP) method was employed to determine the local and global weights of the criteria and sub-criteria in project complexity. The overall project complexity is quantified by a proposed measure, named complexity level (CL). A computational model was developed in MATLAB to facilitate calculations in Fuzzy AHP, conduct sensitivity analysis, and visualize results. The application of the model was illustrated in a case study of three transportation projects performed by a heavy construction company. The proposed complexity level enables engineers and managers to better anticipate potential difficulties in their complex construction projects. Scarce resources will be therefore allocated efficiently in various construction projects in a company's portfolio.