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Elazouni, A M and Metwally, F G (2007) Expanding Finance-Based Scheduling to Devise Overall-Optimized Project Schedules. Journal of Construction Engineering and Management, 133(01), 86–90.

Goldenberg, M and Shapira, A (2007) Systematic Evaluation of Construction Equipment Alternatives: Case Study. Journal of Construction Engineering and Management, 133(01), 72–85.

Hanna, A S, Chang, C, Lackney, J A and Sullivan, K T (2007) Impact of Overmanning on Mechanical and Sheet Metal Labor Productivity. Journal of Construction Engineering and Management, 133(01), 22–28.

Jung, Y and Kang, S (2007) Knowledge-Based Standard Progress Measurement for Integrated Cost and Schedule Performance Control. Journal of Construction Engineering and Management, 133(01), 10–21.

Li, Y, Nie, X and Chen, S (2007) Fuzzy Approach to Prequalifying Construction Contractors. Journal of Construction Engineering and Management, 133(01), 40–49.

Liu, L and Zhu, K (2007) Improving Cost Estimates of Construction Projects Using Phased Cost Factors. Journal of Construction Engineering and Management, 133(01), 91–95.

Lucko, G, Vorster, M C and Anderson-Cook, C M (2007) Unknown Element of Owning Costs—Impact of Residual Value. Journal of Construction Engineering and Management, 133(01), 3–9.

Moussa, M, Ruwanpura, J and Jergeas, G (2007) CTAN for Risk Assessments Using Multilevel Stochastic Networks. Journal of Construction Engineering and Management, 133(01), 96–101.

  • Type: Journal Article
  • Keywords: Computer analysis; Cost control; Risk management; Critical path method; Project management; Network analysis; Quantitative analysis; Stochastic processes;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2007)133:1(96)
  • Abstract:
    Measuring projects’ cost and schedule risks in an integrated framework using simulation has several modeling challenges that have yet to be addressed by researchers. This paper presents a multilevel network modeling approach that aims to integrate a combination of different networks in one framework, and presents a computer simulation implementation to the cost and time risk assessment network (CTAN). The CTAN is an integrated network that includes uncertainties in the realization of the schedule logic, in activities durations, in project scope, and in cost. The simulation model is a decision support simulation system (DSSS) that currently consists of three modules: the CTAN, the stochastic decision trees, and the stochastic shortest/longest rout network. The CTAN-DSSS may be used in cost and schedule risk assessment. It completely integrates with other DSSS networks and deals with risks associated with cost, time, and scope at equal importance. The DSSS was verified by conducting several tests and validated by its extensive use for both undergraduate and graduate courses in Civil Engineering at the University of Calgary over the last three years.

Polat, G, Arditi, D and Mungen, U (2007) Simulation-Based Decision Support System for Economical Supply Chain Management of Rebar. Journal of Construction Engineering and Management, 133(01), 29–39.

Salman, A F M, Skibniewski, M J and Basha, I (2007) BOT Viability Model for Large-Scale Infrastructure Projects. Journal of Construction Engineering and Management, 133(01), 50–63.

Subprasom, K and Chen, A (2007) Effects of Regulation on Highway Pricing and Capacity Choice of a Build-Operate-Transfer Scheme. Journal of Construction Engineering and Management, 133(01), 64–71.