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Ammar, M A (2013) LOB and CPM Integrated Method for Scheduling Repetitive Projects. Journal of Construction Engineering and Management, 139(01), 44–50.

Bynum, P, Issa, R R A and Olbina, S (2013) Building Information Modeling in Support of Sustainable Design and Construction. Journal of Construction Engineering and Management, 139(01), 24–34.

Cheung, S O and Pang, K H Y (2013) Anatomy of Construction Disputes. Journal of Construction Engineering and Management, 139(01), 15–23.

Cho, K and Hastak, M (2013) Time and Cost–Optimized Decision Support Model for Fast-Track Projects. Journal of Construction Engineering and Management, 139(01), 90–101.

Dai, F, Rashidi, A, Brilakis, I and Vela, P (2013) Comparison of Image-Based and Time-of-Flight-Based Technologies for Three-Dimensional Reconstruction of Infrastructure. Journal of Construction Engineering and Management, 139(01), 69–79.

Gosling, J, Naim, M and Towill, D (2013) Identifying and Categorizing the Sources of Uncertainty in Construction Supply Chains. Journal of Construction Engineering and Management, 139(01), 102–10.

Li, H, Arditi, D and Wang, Z (2013) Factors That Affect Transaction Costs in Construction Projects. Journal of Construction Engineering and Management, 139(01), 60–68.

Meduri, S S and Annamalai, T R (2013) Unit Costs of Public and PPP Road Projects: Evidence from India. Journal of Construction Engineering and Management, 139(01), 35–43.

Minchin, R E, Cui, S, Walters, R C, Issa, R and Pan, J (2013) Sino-American Opinions and Perceptions of Counterfeiting in the Construction Supply Chain. Journal of Construction Engineering and Management, 139(01), 1–8.

Rubio-Romero, J C, Rubio, M C and García-Hernández, C (2013) Analysis of Construction Equipment Safety in Temporary Work at Height. Journal of Construction Engineering and Management, 139(01), 9–14.

Tsolas, I E (2013) Modeling Profitability and Stock Market Performance of Listed Construction Firms on the Athens Exchange: Two-Stage DEA Approach. Journal of Construction Engineering and Management, 139(01), 111–9.

Valdes-Vasquez, R and Klotz, L E (2013) Social Sustainability Considerations during Planning and Design: Framework of Processes for Construction Projects. Journal of Construction Engineering and Management, 139(01), 80–89.

Zeynalian, M, Trigunarsyah, B and Ronagh, H R (2013) Modification of Advanced Programmatic Risk Analysis and Management Model for the Whole Project Life Cycle’s Risks. Journal of Construction Engineering and Management, 139(01), 51–59.

  • Type: Journal Article
  • Keywords: Risk management; Construction management; Life cycles; Risk management; Construction management; Risk analysis;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000571
  • Abstract:
    The advanced programmatic risk analysis and management model (APRAM) is one of the recently developed methods that can be used for risk analysis and management purposes considering schedule, cost, and quality risks simultaneously. However, this model considers those failure risks that occur only over the design and construction phases of a project’s life cycle. While it can be sufficient for some projects for which the required cost during the operating life is much less than the budget required over the construction period, it should be modified in relation to infrastructure projects because the associated costs during the operating life cycle are significant. In this paper, a modified APRAM is proposed, which can consider potential risks that might occur over the entire life cycle of the project, including technical and managerial failure risks. Therefore, the modified model can be used as an efficient decision-support tool for construction managers in the housing industry in which various alternatives might be technically available. The modified method is demonstrated by using a real building project, and this demonstration shows that it can be employed efficiently by construction managers. The Delphi method was applied in order to figure out the failure events and their associated probabilities. The results show that although the initial cost of a cold-formed steel structural system is higher than a conventional construction system, the former’s failure cost is much lower than the latter’s.