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Robust Optimization for Collaborative Distribution Network Design Problem

  • Conference paper
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Smart and Sustainable Collaborative Networks 4.0 (PRO-VE 2021)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 629))

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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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Change history

  • 15 November 2021

    The original version of this chapter was revised. The chapter was inadvertently published with the incorrect order of authors. This has been corrected.

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Correspondence to Nadia Hamani .

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Snoussi, I., Hamani, N., Mrabti, N., Kermad, L. (2021). Robust Optimization for Collaborative Distribution Network Design Problem. In: Camarinha-Matos, L.M., Boucher, X., Afsarmanesh, H. (eds) Smart and Sustainable Collaborative Networks 4.0. PRO-VE 2021. IFIP Advances in Information and Communication Technology, vol 629. Springer, Cham. https://doi.org/10.1007/978-3-030-85969-5_25

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  • DOI: https://doi.org/10.1007/978-3-030-85969-5_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85968-8

  • Online ISBN: 978-3-030-85969-5

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