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Carpenter, N and Bausman, D C (2016) Project Delivery Method Performance for Public School Construction: Design-Bid-Build versus CM at Risk. Journal of Construction Engineering and Management, 142(10).
Chang, C and Chen, S (2016) Transitional Public–Private Partnership Model in China: Contracting with Little Recourse to Contracts. Journal of Construction Engineering and Management, 142(10).
Chen, C, Wang, Q, Martek, I and Li, H (2016) International Market Selection Model for Large Chinese Contractors. Journal of Construction Engineering and Management, 142(10).
Choi, J O, O’Connor, J T and Kim, T W (2016) Recipes for Cost and Schedule Successes in Industrial Modular Projects: Qualitative Comparative Analysis. Journal of Construction Engineering and Management, 142(10).
Choi, K and Lee, H W (2016) Deconstructing the Construction Industry: A Spatiotemporal Clustering Approach to Profitability Modeling. Journal of Construction Engineering and Management, 142(10).
de Castro e Silva Neto, D, Cruz, C O, Rodrigues, F and Silva, P (2016) Bibliometric Analysis of PPP and PFI Literature: Overview of 25 Years of Research. Journal of Construction Engineering and Management, 142(10).
Duzkale, A K and Lucko, G (2016) Exposing Uncertainty in Bid Preparation of Steel Construction Cost Estimating: I. Conceptual Framework and Qualitative C-I-V-I-L Classification. Journal of Construction Engineering and Management, 142(10).
Duzkale, A K and Lucko, G (2016) Exposing Uncertainty in Bid Preparation of Steel Construction Cost Estimating: II. Comparative Analysis and Quantitative C-I-V-I-L Classification. Journal of Construction Engineering and Management, 142(10).
Gwak, H, Son, S, Park, Y and Lee, D (2016) Exact Time–Cost Tradeoff Analysis in Concurrency-Based Scheduling. Journal of Construction Engineering and Management, 142(10).
Harper, C M, Molenaar, K R and Cannon, J P (2016) Measuring Constructs of Relational Contracting in Construction Projects: The Owner’s Perspective. Journal of Construction Engineering and Management, 142(10).
Moret, Y and Einstein, H H (2016) Construction Cost and Duration Uncertainty Model: Application to High-Speed Rail Line Project. Journal of Construction Engineering and Management, 142(10).
Namian, M, Albert, A, Zuluaga, C M and Jaselskis, E J (2016) Improving Hazard-Recognition Performance and Safety Training Outcomes: Integrating Strategies for Training Transfer. Journal of Construction Engineering and Management, 142(10).
Poshdar, M, González, V A, Raftery, G M, Orozco, F, Romeo, J S and Forcael, E (2016) A Probabilistic-Based Method to Determine Optimum Size of Project Buffer in Construction Schedules. Journal of Construction Engineering and Management, 142(10).
- Type: Journal Article
- Keywords: Buffers; Scheduling; Analytical techniques; Network analysis; Process variability; Project planning and design;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001158
- Abstract:
Buffers are used to deal with the detrimental impacts of uncertainty on projects. However, methods for the allocation of buffers often provide single unique solutions, which are inefficient in the multiobjective decision-making environment of construction. This paper discusses a probabilistic-based buffer allocation method (PBAL), which enables the final decision on buffer size to be made by the project planners based on their preferences about project completion time. It investigates the construction projects where each activity starts as early as possible. Accordingly, the decision involves determining the size of time buffer at the end of the project network. The accuracy of the results is subjected to approximation and numerical errors in the mathematical models among others. Most buffer allocation heuristics for projects have approximation errors and simulation-based techniques introduce numerical errors by their iterative sampling calculation approach. PBAL can minimize these errors by supporting important details of modeling the production in activities, and preserving these details when modeling at the project level. The PBAL capability to minimize mathematical modeling errors and its accuracy has been successfully tested using the records from ten construction projects.
Ramaji, I J and Memari, A M (2016) Product Architecture Model for Multistory Modular Buildings. Journal of Construction Engineering and Management, 142(10).
Salas, R and Hallowell, M (2016) Predictive Validity of Safety Leading Indicators: Empirical Assessment in the Oil and Gas Sector. Journal of Construction Engineering and Management, 142(10).
Sveikauskas, L, Rowe, S, Mildenberger, J, Price, J and Young, A (2016) Productivity Growth in Construction. Journal of Construction Engineering and Management, 142(10).