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Robust Optimization for Collaborative Distribution Network Design Problem

Abstract : Collaboration is an interesting solution adopted to improve the levels of sustainability by massifying flows. In this study, we present a new design of a distribution network under uncertainties at two levels in a collaborative context. The proposed network includes suppliers who collaborate to deliver their products to retailers through common platforms. On the other hand, uncertainty is treated in terms of two parameters, namely demands and unit transportation costs.The different used models are validated and analysed by a case study. Computational results provided by the robust model and those given by the deterministic one are compared to evaluate the importance of uncertainty. The effects of uncertainty level on the optimal network configuration are also highlighted.
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Contributor : Florent Breuil <>
Submitted on : Thursday, September 9, 2021 - 10:48:10 AM
Last modification on : Saturday, September 11, 2021 - 3:28:55 AM


  • HAL Id : emse-03338939, version 1


Islem Snoussi, Nadia Hamani, Nassim Mrabti, Lyes Kermad. Robust Optimization for Collaborative Distribution Network Design Problem. 22nd IFIP WG 5.5 Working Conference on VIRTUAL ENTERPRISES, PRO-VE 2021, Nov 2021, Saint-Etienne, France. 8p. ⟨emse-03338939⟩



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