Assigning weights for modified project Quarter Back Rating based construction project performance model

Abstract

The Indian construction industry is facing challenges due to performance shortfalls. The construction projects are highly complex, distinctive, fragmented and do not have of well-established performance assessment models to evaluate their project success. Assessing overall project success is not possible to measure by single factor. To address this limitation, the Modified Project Quarter Back Rating (PQR) model was developed for the Indian construction industry. Modified PQR model's output is a project score based on performance areas affecting project success and outcome. The model integrates ten performance areas that have identified through literature review. Performance areas included in the model are; (i) Cost (ii) Schedule (iii) Stakeholder satisfaction (iv) Safety (v) Quality (vi) Finance (vii) Environment (viii) Communication and collaboration (ix) Customer relation and (x) Productivity. These performance areas are measured through different performance metrics; i.e. performance metrics scores are aggregated to compute performance area scores. The model gives a single score that will help in comparing overall performance for different projects. This paper attempted to highlight the importance of performance metrics in modified Project Quarter Back Rating (PQR) based construction project performance assessment model for the Indian construction industry. The validity of the model needs assigning appropriate weights to the performance metrics as the weightage determines the relevance. Appropriate weights were determined using two round Delphi survey with 12 experts. Findings reveal that two performance metrics; return business from customer relation and OSHA recordable from safety have high weights. This modified PQR model will help key participants of the industry to compare the performance of various projects and to monitor performance areas that impact project performance rating. International Journal of Mathematical, Engineering and Management Sciences.