Multi-stage scenario-based stochastic programming for managing lot sizing and workforce scheduling at Vestel
Author:
Funder
TÜBİTAK
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/s10479-023-05741-4.pdf
Reference35 articles.
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2. Bihlmaier, R., Koberstein, A., & Obst, R. (2009). Modeling and optimizing of strategic and tactical production planning in the automotive industry under uncertainty. In: Meyr, H., Günther, H.-O. (eds.) Supply Chain Planning: Quantitative Decision Support and Advanced Planning Solutions (pp. 367–392) . https://doi.org/10.1007/978-3-540-93775-3_14
3. Brahimi, N., Dauzere-Peres, S., Najid, N. M., & Nordli, A. (2006). Single item lot sizing problems. European Journal of Operational Research, 168(1), 1–16. https://doi.org/10.1016/j.ejor.2004.01.054
4. Cem Randa, A., Doğru, M. K., Iyigun, C., & Özen, U. (2019). Heuristic methods for the capacitated stochastic lot-sizing problem under the static-dynamic uncertainty strategy. Computers & Operations Research, 109, 89–101. https://doi.org/10.1016/j.cor.2019.03.007
5. Chen, S.-I., & Su, D. (2019). A multi-stage stochastic programming model of lot-sizing and scheduling problems with machine eligibilities and sequence-dependent setups. Annals of Operations Research. https://doi.org/10.1007/s10479-019-03462-1
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