Estimating project and activity duration: a risk management approach using network analysis
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DOI: 10.1080/014461998372574
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Cited by:
- Pfeifer, Jeremy & Barker, Kash & Ramirez-Marquez, Jose E. & Morshedlou, Nazanin, 2015. "Quantifying the risk of project delays with a genetic algorithm," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 34-44.
- Emad Mohamed & Parinaz Jafari & Adam Chehouri & Simaan AbouRizk, 2021. "Simulation-Based Approach for Lookahead Scheduling of Onshore Wind Projects Subject to Weather Risk," Sustainability, MDPI, vol. 13(18), pages 1-27, September.
- Babaei, Mohsen & Rashidi-baqhi, Amin, 2022. "Universal generating function -based narrow reliability bounds to evaluate reliability of project completion time," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
- Salim Rostami & Stefan Creemers & Roel Leus, 2018. "New strategies for stochastic resource-constrained project scheduling," Journal of Scheduling, Springer, vol. 21(3), pages 349-365, June.
- Chen, Yang & Zhang, Xiaoling & Chau, K.W. & Yang, Linchuan, 2022. "How the institutional change in urban redevelopment affects the duration of land redevelopment approval in China?," Land Use Policy, Elsevier, vol. 119(C).
- Balouka, Noemie & Cohen, Izack, 2021. "A robust optimization approach for the multi-mode resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 291(2), pages 457-470.
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Keywords
Network Analysis; Monte Carlo Simulation; Pert; Stochastic Analysis;All these keywords.
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