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Communication Dans Un Congrès Année : 2023

Demand-supply alignment in supply chain networks with access to hyperconnected production options

Résumé

Supply chain networks today comprise of various decentralized actors, subject to constantly evolving challenges and customer expectations, and operate in a volatile, uncertain, and disruption-prone environment. These challenges and complexities bring in informational and material flow distortions, making it hard to align demand and supply with agility. Building a centralized optimization model for such complex systems tends to be computationally expensive and unscalable for real-world application. With this motivation, we propose a novel, real-world applicable multi-agent-based approach for collaborative and agile demand-supply alignment, through dynamic prediction-driven planning and operational decision-making. We first demonstrate the applicability and configurability of our approach with a real-world supply chain network operating in a stochastic and disruptive environment, with the desired characteristics in congruence with the Physical Internet framework. We then demonstrate the simulation-testing capability of our approach by highlighting the potential benefits of leveraging a hyperconnected network of open certified production options.
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Dates et versions

hal-04252051 , version 1 (24-10-2023)

Identifiants

Citer

Ashwin S. Pothen, Mahmut Metin Inan, Benoit Montreuil, Matthieu Lauras, Frederick Benaben, et al.. Demand-supply alignment in supply chain networks with access to hyperconnected production options. IPIC 2023 - 9 th International Physical Internet Conference, Oct 2023, Athènes, Greece. pp.494-504, ⟨10.35090/gatech/8030⟩. ⟨hal-04252051⟩
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