A Lot-Sizing Model for Maintenance Planning in a Circular Economy Context

Ernest Foussard (1, 2) , Marie-Laure Espinouse (1) , Grégory Mounié (2) , Margaux Nattaf (1)

1 G-SCOP_ROSP - Recherche Opérationnelle pour les Systèmes de Production
2 DATAMOVE - Data Aware Large Scale Computing

The transition towards Circular Economy is a crucial issue of European environmental policies. It requires a complete overhaul of production systems, in order to improve product lifecycles and to reduce the ecological footprint. In this context, maintenance is key to extend the products durability. This study addresses maintenance planning optimization within the Circular Economy framework. An original lot-sizing model for tactical maintenance planning on a single-machine with multiple components is presented. The main features of this model are the consideration of the component health index and the global budget on environmental impact. The computational limits of the model and the impact of the budget constraint are assessed through experimentations.

Mots clés: Maintenance Planning; Mixed-Integer Linear Programming; Circular Economy; Lot-Sizing

Domaines: Recherche opérationnelle [math.OC]

Ernest Foussard, Marie-Laure Espinouse, Grégory Mounié, Margaux Nattaf. A Lot-Sizing Model for Maintenance Planning in a Circular Economy Context. APMS 2021 - Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, Sep 2021, Nantes, France. pp.673 - 682, ⟨10.1007/978-3-030-85902-2_72⟩. ⟨hal-03352725v1⟩