Two-stage stochastic/robust scheduling based on permutable operation groups
Author:
Funder
Artificial and Natural Intelligence Toulouse Institute
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/s10479-023-05639-1.pdf
Reference32 articles.
1. Artigues, C., Jean-Charles, B., Cheref, A., Mebarki, N., & Yahouni, Z. (2016). Robust machine scheduling based on group of permutable jobs. In M. Doumpos, C. Zopounidis, & E. Grigoroudis (Eds.), Robustness analysis in decision aiding (Vol. 241, pp. 191–220). Springer. https://doi.org/10.1007/978-3-319-33121-89
2. Artigues, C., Billaut, J.-C., & Esswein, C. (2005). Maximization of solution flexibility for robust shop scheduling. European Journal of Operational Research, 165(2), 314–328. https://doi.org/10.1016/j.ejor.2004.04.004
3. Aytug, H., Lawley, M. A., McKay, K., Mohan, S., & Uzsoy, R. (2005). Executing production schedules in the face of uncertainties: A review and some future directions. European Journal of Operational Research, 161(1), 86–110. https://doi.org/10.1016/j.ejor.2003.08.027
4. Bachtler, O., Krumke, S. O., & Le, H. M. (2020). Robust single machine makespan scheduling with release date uncertainty. Operations Research Letters, 48(6), 816–819.
5. Balas, E. (1969). Machine sequencing via disjunctive graphs: An implicit enumeration algorithm. Operations research, 17(6), 941–957. https://doi.org/10.1287/opre.17.6.941
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