A Multi-agent Model for the Multi-plant Multi-product Physical Internet Supply Chain Network

Maroua Nouiri (1) , Abdelghani Bekrar (1) , Adriana Giret , Olivier Cardin , Damien Trentesaux (1)

1 LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201

Supply chains are complex systems and stochastic in nature. Nowadays, logistics organizations are expected to be efficient, effective, and responsive while respecting other objectives such as sustainability and resilience. In this work, a multi-agent model is proposed for a multi-plant, multi-product supply chain network that supports an open network with n nodes (plants, retailers, etc.). Three replenishment policies are proposed with different criteria of selection. A multi-agent simulation tool was used to implement the proposed multi-agent model. Different scenarios and configurations, varying from static to dynamic, are defined and tested. The first objective of this work is to compare the performance of physical internet supply chain and classical supply chain networks using holding and transportation costs as key performance indicators. The second goal is to assess the performance of different replenishment policies for multi-plant, multi-product physical internet supply chain network. Experiment results validate the efficiency of the model to assess the performance of supply chain and to optimize the replenishment decisions.

Mots clés: Physical internet; Simulation; Multi-agent architecture; Replenishment’s source selection; Inventory control; Perturbations

Domaines: Automatique / Robotique

Maroua Nouiri, Abdelghani Bekrar, Adriana Giret, Olivier Cardin, Damien Trentesaux. A Multi-agent Model for the Multi-plant Multi-product Physical Internet Supply Chain Network. SOHOMA 2020: Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, Oct 2020, Paris, France. pp.435-448, ⟨10.1007/978-3-030-69373-2_31⟩. ⟨hal-03407654⟩