An assessment tool for monitoring project performance

Abstract

In the past, p roductivity assessment and performance evaluation were carried out separately due to cost constraints. Performing both simultaneously could significantly improve a project monitoring system. The appropriate use of schedule compression methods to accelerate the work at hand will reduce additional costs. The aim of this study was to develop a project monitoring tool that combines productivity assessment and schedule compression methods for reporting productivity status and evaluating project performance. Factors Affecting Productivity (FAP) and Schedule Compression Methods (SCM) were identified and measured from completed building projects. T he capability of using these factors as project assessment tool and project performance predictor was analysed using fuzzy logic inference system . It is found that the Time Performance Ratio ( TPR) can be included in a project status report to monitor and predict project performance.