A stochastic bi-objective project scheduling model under failure of activities
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-023-05600-2.pdf
Reference44 articles.
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2. Agnetis, A., Hermans, B., Leus, R., & Rostami, S. (2022b). Time-critical testing and search problems. European Journal of Operational Research, 296(2), 440–452.
3. Alvarez-Valdés, R., & Tamarit, J. M. (1993). The project scheduling polyhedron: Dimension, facets and lifting theorems. European Journal of Operational Research, 67(2), 204–220.
4. Atakan, S., Bülbül, K., & Noyan, N. (2017). Minimizing value-at-risk in single-machine scheduling. Annals of Operations Research, 248(1–2), 25–73.
5. Bayraksan, G., & Morton, D. P. (2011). A sequential sampling procedure for stochastic programming. Operations Research, 59(4), 898–913.
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1. A risk-averse distributionally robust project scheduling model to address payment delays;European Journal of Operational Research;2024-10
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