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Al-Bayati, A J, Abudayyeh, O, Fredericks, T and Butt, S E (2017) Reducing Fatality Rates of the Hispanic Workforce in the U.S. Construction Industry: Challenges and Strategies. Journal of Construction Engineering and Management, 143(03).

Awolusi, I G and Marks, E D (2017) Safety Activity Analysis Framework to Evaluate Safety Performance in Construction. Journal of Construction Engineering and Management, 143(03).

Babar, S, Thaheem, M J and Ayub, B (2017) Estimated Cost at Completion: Integrating Risk into Earned Value Management. Journal of Construction Engineering and Management, 143(03).

  • Type: Journal Article
  • Keywords: Earned value management; Estimate at completion; Project risk; Risk performance index; Project monitoring and control; Cost and schedule;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001245
  • Abstract:
    Earned value management (EVM) is an industry standard for monitoring the performance of ongoing projects. The performance baseline is set up in the planning phase to measure any time and cost deviations during project execution. Based on the current progress, an estimate at completion (EAC) is forecasted. Traditionally, EVM only focuses on the project schedule (SPI) and cost (CPI), and does not address other important aspects of health and safety, stakeholder satisfaction, and quality. Despite its superior formulation, EVM forecasts are still influenced by project risks and uncertainties, leading to inconsistency between EAC results obtained through standard formulae. In order to estimate better EAC, a framework is developed that incorporates various key performance indicators into the risk performance index (RPI). Using SPI, CPI, and RPI, an integrated model is developed and a number of case studies are run to validate it. The findings indicate a better EAC when compared to traditional methods. Introducing performance indicators to measure key aspects of the project will provide the stakeholders a better monitoring and decision-making tool.

Kam, C, Song, M H and Senaratna, D (2017) {[}VDC Scorecard{]}: Formulation, Application, and Validation. Journal of Construction Engineering and Management, 143(03).

Kisi, K P, Mani, N, Rojas, E M and Foster, E T (2017) Optimal Productivity in Labor-Intensive Construction Operations: Pilot Study. Journal of Construction Engineering and Management, 143(03).

Li, Y, Wang, X and Wang, Y (2017) Using Bargaining Game Theory for Risk Allocation of Public-Private Partnership Projects: Insights from Different Alternating Offer Sequences of Participants. Journal of Construction Engineering and Management, 143(03).

Louis, J and Dunston, P S (2017) Methodology for Real-Time Monitoring of Construction Operations Using Finite State Machines and Discrete-Event Operation Models. Journal of Construction Engineering and Management, 143(03).

Niu, Y, Lu, W, Liu, D, Chen, K, Anumba, C and Huang, G G (2017) An SCO-Enabled Logistics and Supply Chain–Management System in Construction. Journal of Construction Engineering and Management, 143(03).

Shrestha, P P and Fernane, J D (2017) Performance of Design-Build and Design-Bid-Build Projects for Public Universities. Journal of Construction Engineering and Management, 143(03).

Yoon, Y, Patel, S, Ji, R and Hastak, M (2017) Current State of Reflective Cracking in the United States. Journal of Construction Engineering and Management, 143(03).