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AbouRizk, S M and Wales, R J (1997) Combined Discrete-Event/Continuous Simulation for Project Planning. Journal of Construction Engineering and Management, 123(01), 11–20.

Crowley, L G (1997) Robust Statistical Estimators for Use within Competitive Bid Data. Journal of Construction Engineering and Management, 123(01), 53–63.

Daoud, O E K (1997) The Architect/Engineer's Role in Rehabilitation Work. Journal of Construction Engineering and Management, 123(01), 1–5.

Elazouni, A M (1997) Constructability Improvement of Steel Silos during Field Operations. Journal of Construction Engineering and Management, 123(01), 21–25.

Everett, J G and Farghal, S H (1997) Data Representation for Predicting Performance with Learning Curves. Journal of Construction Engineering and Management, 123(01), 46–52.

Farghal, S H and Everett, J G (1997) Learning Curves: Accuracy in Predicting Future Performance. Journal of Construction Engineering and Management, 123(01), 41–45.

Kangari, R and Miyatake, Y (1997) Developing and Managing Innovative Construction Technologies in Japan. Journal of Construction Engineering and Management, 123(01), 72–78.

Kartam, S, Ballard, G and Ibbs, C W (1997) Introducing a New Concept and Approach to Modeling Construction. Journal of Construction Engineering and Management, 123(01), 89–97.

Mondorf, P E, Kuprenas, J A and Kordahi, E N (1997) Segmental Cantilever Bridge Construction Case Study. Journal of Construction Engineering and Management, 123(01), 79–84.

Russell, J S, Jaselskis, E J and Lawrence, S P (1997) Continuous Assessment of Project Performance. Journal of Construction Engineering and Management, 123(01), 64–71.

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(1997)123:1(64)
  • Abstract:
    Project managers for owners, designers, and contractors need real-time information to assist them in managing projects. This paper describes a process whereby owner, engineer, and construction contractor organizations can use continuous or time-dependent variables (e.g., owner expenditures, construction effort hours expended) to predict project outcomes from start of detailed design through construction completion. Continuous variable data were collected on 54 construction projects. S-curves were developed for two project outcome categories: (1) “successful” (meeting or exceeding budget and schedule expectations); and (2) “less-than-successful” (not meeting budget and/or schedule expectations of the owner). Statistical analysis was performed to identify those variables showing a statistically significant difference between the two project outcome categories. Variables exhibiting a significant difference between the S-curves for “successful” and “less-than-successful” projects can be used as predictors of project outcome. Results show that different variables were predictors of success at different points of time during the project life cycle. Practical applications of these results along with limitations and future research are described.

Shi, J and AbouRizk, S M (1997) Resource-Based Modeling for Construction Simulation. Journal of Construction Engineering and Management, 123(01), 26–33.

Songer, A D and Molenaar, K R (1997) Project Characteristics for Successful Public-Sector Design-Build. Journal of Construction Engineering and Management, 123(01), 34–40.

Tiong, R L K and Alum, J (1997) Final Negotiation in Competitive BOT Tender. Journal of Construction Engineering and Management, 123(01), 6–10.

Touran, A, Sheahan, T C and Ozcan, E (1997) Rational Equipment Selection Method Based on Soil Conditions. Journal of Construction Engineering and Management, 123(01), 85–88.