Enhancing project performance by developing multiple regression analysis and risk analysis models for interface

Abstract

Interface management (IM) is a main factor in the success of construction projects. The failure to correctly manage interfaces impacts a project’s performance measurements, such as scope control and schedule. Using Alberta’s data, collected using a web questionnaire from a large group of experienced industry experts, three phases are conducted in this research. The first identifies the top ten interface problems that affect IM. The second phase includes enhancing project performance by developing and applying multiple regression analysis models between the underlying interface problem factors and the project performance indicators. The last phase includes measuring the severity of the impact of each IM problem to develop an IM risk analysis model. The results of the multiple regression models indicate that the interface problems caused by the “technical engineering and site issues factor”, the “bidding and contracting factor”, and the “information factor” were the strongest influences on the schedule and cost project performance indicators. The results will assist engineers, architects, and others in analyzing and predicting the project performance. This will in turn serve to minimize project delay and cost and reduce conflict among project participants.