Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata
Contributor : Florent BREUIL Connect in order to contact the contributor
Submitted on : Wednesday, November 24, 2021 - 2:47:39 PM
Last modification on : Thursday, May 5, 2022 - 3:17:31 AM
Long-term archiving on: : Friday, February 25, 2022 - 7:21:39 PM


Files produced by the author(s)



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, ⟨10.1007/978-3-030-85969-5_25⟩. ⟨emse-03338939⟩



Record views


Files downloads