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Abbasian-Hosseini, S A, Hsiang, S M, Leming, M L and Liu, M (2014) From Social Network to Data Envelopment Analysis: Identifying Benchmarks at the Site Management Level. Journal of Construction Engineering and Management, 140(08).

Arambula, E and Gharaibeh, N (2014) Methods for Accumulating Construction and Material Quality Test Results and Their Effect on Acceptance Decisions. Journal of Construction Engineering and Management, 140(08).

Hanna, A S, Lotfallah, W, Aoun, D G and Asmar, M E (2014) Mathematical Formulation of the Project Quarterback Rating: New Framework to Assess Construction Project Performance. Journal of Construction Engineering and Management, 140(08).

  • Type: Journal Article
  • Keywords: Quantitative analysis; Construction industry; Financial factors; Ratings; Standardization; Surveys; Mathematical models; Quantitative analysis; Construction; Construction industry; Financial factors; Ratings; Standardization; Surveys; Quantitative methods
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000871
  • Abstract:
    This paper presents the definition and the mathematical formulation of a unique performance metric called the project quarterback rating (PQR). The PQR gives a specific score for each construction project based on a set of key variables affecting project performance and outcome. The importance of the PQR is found in its ability to quantitatively assess overall performance from the contractor’s perspective, taking into account key performance areas, which include customer satisfaction, schedule, cost, profit, and communication. A practical application comparing the performance of several recently completed projects is also presented in this paper to illustrate the new model. This application shows one of many possibilities for how PQR can be used to solve industry problems and to fill an existing gap in the literature. This research offers a contribution to the construction engineering and management literature and to the architecture/engineering/construction (AEC) industry. It is the creation of a unified project performance metric for a practical comparison of overall performance for any construction project.

Kim, T W and Fischer, M (2014) Ontology for Representing Building Users’ Activities in Space-Use Analysis. Journal of Construction Engineering and Management, 140(08).

Lau, S, Lu, M and Poon, C (2014) Formalized Approach to Discretize a Continuous Plant in Construction Simulations. Journal of Construction Engineering and Management, 140(08).

Mello Saraiva Caldeira, L M and Brito, A (2014) Use of Soil-Rock Mixtures in Dam Construction. Journal of Construction Engineering and Management, 140(08).

Naderpajouh, N, Mahdavi, A, Hastak, M and Aldrich, D P (2014) Modeling Social Opposition to Infrastructure Development. Journal of Construction Engineering and Management, 140(08).

Pomares, J C, Irles, R, Segovia, E and Ferrer, B (2014) Acceleration and Deflection Analysis for Class C Edge Protection Systems in Construction Work. Journal of Construction Engineering and Management, 140(08).

Sousa, V, Almeida, N M and Dias, L A (2014) Role of Statistics and Engineering Judgment in Developing Optimized Time-Cost Relationship Models. Journal of Construction Engineering and Management, 140(08).

Xia, B, Skitmore, M, Wu, P and Chen, Q (2014) How Public Owners Communicate the Sustainability Requirements of Green Design-Build Projects. Journal of Construction Engineering and Management, 140(08).

Zhao, X, Hwang, B and Low, S P (2014) Investigating Enterprise Risk Management Maturity in Construction Firms. Journal of Construction Engineering and Management, 140(08).