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Inventory Management Optimization in Multi-Stage Supply Chains Under Uncertainty

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Operations Research and Enterprise Systems (ICORES 2022, ICORES 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1985))

Abstract

We deal with the optimal inventory control problem for Multi-Stage Supply Chains (MSSC) with uncertain dynamics. The two sources of uncertainty we consider are about the perishability factor of stored products and on the customer prediction information. The control problem consists in defining a Replenishment Policy (RP) keeping the inventory level as close as possible to a desired value and mitigating the Bullwhip Effect (BE). The solution we propose is based on Distributed Robust Model Predictive Control (DRMPC) approach. This implies solving a set of RMPC problems. To drastically reduce the numerical complexity of this problem, the control signal (i.e. the RP) is sought in the space of B-spline functions, which are known to be universal approximators admitting a parsimonious parametric representation.

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Author information

Authors and Affiliations

  1. Department of Management, Università Politecnica delle Marche, Ancona, Italy

    Beatrice Ietto

  2. Weizenbaum Institute, Berlin, Germany

    Beatrice Ietto

  3. Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy

    Valentina Orsini

Authors
  1. Beatrice Ietto
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  2. Valentina Orsini
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Correspondence to Valentina Orsini .

Editor information

Editors and Affiliations

  1. Cardiff University, Cardiff, UK

    Federico Liberatore

  2. Department of National Defence, Ottawa, ON, Canada

    Slawo Wesolkowski

  3. RMIT University, Melbourne, VIC, Australia

    Marc Demange

  4. GH Parlier Consulting, Catonsville, MD, USA

    Greg H. Parlier

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Ietto, B., Orsini, V. (2024). Inventory Management Optimization in Multi-Stage Supply Chains Under Uncertainty. In: Liberatore, F., Wesolkowski, S., Demange, M., Parlier, G.H. (eds) Operations Research and Enterprise Systems. ICORES ICORES 2022 2023. Communications in Computer and Information Science, vol 1985. Springer, Cham. https://doi.org/10.1007/978-3-031-49662-2_13

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  • DOI: https://doi.org/10.1007/978-3-031-49662-2_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-49661-5

  • Online ISBN: 978-3-031-49662-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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