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Al-Bataineh, M, AbouRizk, S and Parkis, H (2013) Using Simulation to Plan Tunnel Construction. Journal of Construction Engineering and Management, 139(05), 564–71.

Ammar, M, Zayed, T and Moselhi, O (2013) Fuzzy-Based Life-Cycle Cost Model for Decision Making under Subjectivity. Journal of Construction Engineering and Management, 139(05), 556–63.

Aquere, A L, Dinis-Carvalho, J and Lima, R M (2013) Project Cell: Cellular Organization of the Building Design Process. Journal of Construction Engineering and Management, 139(05), 538–46.

Arnold, P and Javernick-Will, A (2013) Projectwide Access: Key to Effective Implementation of Construction Project Management Software Systems. Journal of Construction Engineering and Management, 139(05), 510–8.

Goh, C S, Abdul-Rahman, H and Abdul Samad, Z (2013) Applying Risk Management Workshop for a Public Construction Project: Case Study. Journal of Construction Engineering and Management, 139(05), 572–80.

Holt, G D and Edwards, D J (2013) Analysis of United Kingdom Off-Highway Construction Machinery Market and Its Consumers Using New-Sales Data. Journal of Construction Engineering and Management, 139(05), 529–37.

Hon, C K H, Chan, A P C and Yam, M C H (2013) Determining Safety Climate Factors in the Repair, Maintenance, Minor Alteration, and Addition Sector of Hong Kong. Journal of Construction Engineering and Management, 139(05), 519–28.

Johnson, T R, Feng, P, Sitzabee, W and Jernigan, M (2013) Federal Acquisition Regulation Applied to Alliancing Contract Practices. Journal of Construction Engineering and Management, 139(05), 480–7.

Khamooshi, H and Cioffi, D F (2013) Uncertainty in Task Duration and Cost Estimates: Fusion of Probabilistic Forecasts and Deterministic Scheduling. Journal of Construction Engineering and Management, 139(05), 488–97.

  • Type: Journal Article
  • Keywords: Estimation; Scheduling; Construction costs; Budgets; Probability; Project management; Simulation; Uncertainty principles; Forecasting; Estimate; Reliability; Scheduling; Cost; Budget; Probability; Contingency; Project management; Simulation;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000616
  • Abstract:
    A model for project budgeting and scheduling with uncertainty is developed. The traditional critical-path method (CPM) misleads because there are few, if any, real-life deterministic situations for which CPM is a great match; program evaluation and review technique (PERT) has been seen to have its problems, too (e.g., merge bias, unavailability of data, difficulty of implementation by practitioners). A dual focus on the distributions of the possible errors in the time and cost estimates and on the reliability of the estimates used as planned values suggests an approach for developing reliable schedules and budgets with buffers for time and cost. This method for budgeting and scheduling is executed through either simulation or a simple analytical approximation. The dynamic buffers provide much-needed flexibility, accounting for the errors in cost and duration estimates associated with planning any real project, thus providing a realistic, practical, and dynamic approach to planning and scheduling.

Marinelli, M and Lambropoulos, S (2013) Algorithmic Method for Scraper Load-Time Optimization. Journal of Construction Engineering and Management, 139(05), 459–65.

Melanta, S, Miller-Hooks, E and Avetisyan, H G (2013) Carbon Footprint Estimation Tool for Transportation Construction Projects. Journal of Construction Engineering and Management, 139(05), 547–55.

Mitropoulos, P and Memarian, B (2013) Task Demands in Masonry Work: Sources, Performance Implications, and Management Strategies. Journal of Construction Engineering and Management, 139(05), 581–90.

Poon, C S, Yu, A T W, Wong, A and Yip, R (2013) Quantifying the Impact of Construction Waste Charging Scheme on Construction Waste Management in Hong Kong. Journal of Construction Engineering and Management, 139(05), 466–79.

Salman, A, Moselhi, O and Zayed, T (2013) Scheduling Model for Rehabilitation of Distribution Networks Using MINLP. Journal of Construction Engineering and Management, 139(05), 498–509.