A quantitative study of data aggregation for a network design problem: a case of automotive distribution
Author:
Funder
ANRT
MIAI @ GrenobleAlpes
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10845-024-02421-3.pdf
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2. Aldrighetti, R., Battini, D., Ivanov, D., & Zennaro, I. (2021). Costs of resilience and disruptions in supply chain network design models: A review and future research directions. International Journal of Production Economics, 235, 108103. https://doi.org/10.1016/j.ijpe.2021.108103
3. Alumur, S. A., Nickel, S., Saldanha-da-Gama, F., & Verter, V. (2012). Multi-period reverse logistics network design. European Journal of Operational Research, 220(1), 67–78. https://doi.org/10.1016/j.ejor.2011.12.045
4. Amiri-Aref, M., Klibi, W., & Babai, M. Z. (2018). The multi-sourcing location inventory problem with stochastic demand. European Journal of Operational Research, 266(1), 72–87. https://doi.org/10.1016/j.ejor.2017.09.003
5. Ansari, S., Başdere, M., Li, X., Ouyang, Y., & Smilowitz, K. (2018). Advancements in continuous approximation models for logistics and transportation systems: 1996–2016. Transportation Research Part B: Methodological, 107, 229–252. https://doi.org/10.1016/j.trb.2017.09.019
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