Pre-positioned inventory model for supply chain disruption mitigation

Matthieu Godichaud, Hasan Murat Afsar () and Yassine Ouazene
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Matthieu Godichaud: LIST3N - OPTI - LIST3N - Optimisation - LIST3N - Laboratoire Informatique et Société Numérique - UTT - Université de Technologie de Troyes
Hasan Murat Afsar: LIST3N - OPTI - LIST3N - Optimisation - LIST3N - Laboratoire Informatique et Société Numérique - UTT - Université de Technologie de Troyes
Yassine Ouazene: LIST3N - OPTI - LIST3N - Optimisation - LIST3N - Laboratoire Informatique et Société Numérique - UTT - Université de Technologie de Troyes

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Abstract: This paper introduces a novel pre-positioned inventory model aimed at mitigating supply chain disruptions by enhancing the resilience of supply networks characterized by multiple facilities subject to disruptions. Based on a Time-To-Recover model, we explore a single-tier supply chain framework, incorporating real-world disruption scenarios to assess the efficacy of pre-positioned inventories in disruption mitigation. A two-stage stochastic programming approach is used to formulate the problem, incorporating a special case scenario that allows for the development of a closed-form equation. This enables a detailed analysis of the impact of pre-positioned inventory on supply chain resilience, examining various scenarios to ascertain the optimal inventory levels required to mitigate disruption risks effectively. Some numerical examples are presented to illustrate the practical application of the model, offering valuable insights into the strategic positioning of inventories and the implications for supply chain design.

Keywords: Supply Chain Disruption; Resilience; Prepositioned Inventory; Stochastic Modeling; Operation Planning (search for similar items in EconPapers)
Date: 2024-07-01
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Published in 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), Jul 2024, Vallette, France. pp.1745-1750, ⟨10.1109/CoDIT62066.2024.10708429⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05406551

DOI: 10.1109/CoDIT62066.2024.10708429

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