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Ahn, S, Lee, S and Steel, R P (2013) Effects of Workers’ Social Learning: Focusing on Absence Behavior. Journal of Construction Engineering and Management, 139(08), 1015–25.
Cheung, S O, Yiu, T W and Lam, M C (2013) Interweaving Trust and Communication with Project Performance. Journal of Construction Engineering and Management, 139(08), 941–50.
Choi, Y, Kim, D, Kim, S, Nam, M S and Kim, T (2013) Implementation of Noise-Free and Vibration-Free PHC Screw Piles on the Basis of Full-Scale Tests. Journal of Construction Engineering and Management, 139(08), 960–7.
de Lima, R X, Júnior, E F N, Prata, B d A and Weissmann, J (2013) Distribution of Materials in Road Earthmoving and Paving: Mathematical Programming Approach. Journal of Construction Engineering and Management, 139(08), 1046–54.
De Marco, A and Mangano, G (2013) Risk and Value in Privately Financed Health Care Projects. Journal of Construction Engineering and Management, 139(08), 918–26.
Gharaibeh, H M (2013) Managing the Cost of Power Transmission Projects: Lessons Learned. Journal of Construction Engineering and Management, 139(08), 1063–7.
Horta, I M, Camanho, A S and Lima, A F (2013) Design of Performance Assessment System for Selection of Contractors in Construction Industry E-Marketplaces. Journal of Construction Engineering and Management, 139(08), 910–7.
Hosseinian, S M and Carmichael, D G (2013) Optimal Incentive Contract with Risk-Neutral Contractor. Journal of Construction Engineering and Management, 139(08), 899–909.
Laryea, S (2013) Nature of Tender Review Meetings. Journal of Construction Engineering and Management, 139(08), 927–40.
Lee, N and Rojas, E M (2013) Visual Representations for Monitoring Project Performance: Developing Novel Prototypes for Improved Communication. Journal of Construction Engineering and Management, 139(08), 994–1005.
Lu, Y, Cui, Q and Le, Y (2013) Turning Green to Gold in the Construction Industry: Fable or Fact?. Journal of Construction Engineering and Management, 139(08), 1026–36.
Macarulla, M, Forcada, N, Casals, M, Gangolells, M, Fuertes, A and Roca, X (2013) Standardizing Housing Defects: Classification, Validation, and Benefits. Journal of Construction Engineering and Management, 139(08), 968–76.
Marks, E D, Cheng, T and Teizer, J (2013) Laser Scanning for Safe Equipment Design That Increases Operator Visibility by Measuring Blind Spots. Journal of Construction Engineering and Management, 139(08), 1006–14.
Minchin, R E, Thurn, S B, Ellis, R D and Lewis, D W (2013) Using Contractor Bid Amounts to Estimate the Impact of Night Construction on Cost for Transportation Construction. Journal of Construction Engineering and Management, 139(08), 1055–62.
Mostafavi, A, Abraham, D, Noureldin, S, Pankow, G, Novak, J, Walker, R, Hall, K and George, B (2013) Risk-Based Protocol for Inspection of Transportation Construction Projects Undertaken by State Departments of Transportation. Journal of Construction Engineering and Management, 139(08), 977–86.
Nguyen, L D, Phan, D H and Tang, L C M (2013) Simulating Construction Duration for Multistory Buildings with Controlling Activities. Journal of Construction Engineering and Management, 139(08), 951–9.
- Type: Journal Article
- Keywords: Scheduling; Simulation; Critical path method; Monte Carlo method; High-rise buildings; Multi-story buildings; Scheduling; Simulation; Critical-path method; Monte Carlo method; High-rise buildings;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000677
- Abstract:
Construction schedules are uncertain in nature; therefore, predicting construction duration is a difficult task. Extensive research has proposed mathematical models to predict construction duration based on regression analysis, Monte Carlo method (MCM), and so on. Yet regression analysis cannot capture duration uncertainties. Studies normally use Monte Carlo methods to simulate hundreds to thousands of activities in a project schedule. This can be complicated, time-consuming, and unrealistic because the statistical properties of all the activities cannot be readily determined in practice. Typical construction sequences in condominium building construction were first identified, and then the statistical distributions of controlling activities on the sequences were surveyed. Two-stage questionnaire surveys and goodness-of-fit statistical tests were conducted to achieve the mentioned objectives. Subsequently, a model for predicting the duration of building construction was proposed and applied to a high-rise building project. The results showed that the proposed model reasonably predicted the construction duration for this apartment building. The model fills the gap in knowledge of construction time forecast by introducing the concept of controlling activities to simplify the evaluation of the schedule uncertainty in multistory building construction. This research is beneficial for practitioners to estimate an overall construction schedule of building projects, especially in preconstruction phases.
Puri, V and Martinez, J C (2013) Modeling of Simultaneously Continuous and Stochastic Construction Activities for Simulation. Journal of Construction Engineering and Management, 139(08), 1037–45.
Ugwu, O O, Arop, J B, Nwoji, C U and Osadebe, N N (2013) Nanotechnology as a Preventive Engineering Solution to Highway Infrastructure Failures. Journal of Construction Engineering and Management, 139(08), 987–93.