A robust optimization approach in a multi-objective closed-loop supply chain model under imperfect quality production
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/s10479-021-04286-8.pdf
Reference39 articles.
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2. Al-e-hashem, S. M. J. M., Malekly, H., & Aryanezhad, M. B. (2011). A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty. International Journal of Production Economics, 134(1), 28–42. https://doi.org/10.1016/j.ijpe.2011.01.027
3. Almaraj, I. I., & Trafalis, T. B. (2019). An integrated multi-echelon robust closed-loop supply chain under imperfect quality production. International Journal of Production Economics, 218(May), 212–227. https://doi.org/10.1016/j.ijpe.2019.04.035
4. Baghalian, A., Rezapour, S., & Zanjirani, R. (2013). Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case. European Journal of Operational Research, 227(1), 199–215. https://doi.org/10.1016/j.ejor.2012.12.017
5. Dächert, K., Gorski, J., & Klamroth, K. (2012). An augmented weighted Tchebycheff method with adaptively chosen parameters for discrete bicriteria optimization problems. Computers & Operations Research, 39, 2929–2943. https://doi.org/10.1016/j.cor.2012.02.021
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