Holonic Construction Scheduling System for Construction Projects Using Python Programming Language
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6175-7_30
Reference15 articles.
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3. F. Acebes, D. Poza, J. M. Gonz´alez-Varona, J. Pajares, and A. L´opez-Paredes, “On the project risk baseline : Integrating aleatory uncertainty into project scheduling,” Comput. Ind. Eng., vol. 160, no. July, pp. 1–11, 2021, doi: https://doi.org/10.1016/j.cie.2021.107537.
4. Mani P, González VA, Raftery GM, Orozco F, Cabrera-Guerrero GG (2018) A multi-objective probabilistic-based method to determine optimum allocation of time buffer in construction schedules. Autom Constr 92:46–58
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