‘Odds algorithm'-based opportunistic maintenance for preserving component performances

Eric Levrat (1) , Edouard Thomas (1) , Benoît Iung (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

Today, a new role for maintenance exists to enhance the eco-efficiency of the product lifecycle. The concept of “lifecycle maintenance” has emerged to stress this role leading to push, at the manufacturing stage, an innovative culture wherein maintenance activities become of equal importance to actual production activities. This equivalence requires mainly to consider the integration of both the maintenance planning and the production strategy planning to develop opportunistic maintenance tasks guaranteeing conjointly the product – production – equipment performances. In this paper, a novel approach is proposed to synchronise the maintenance planning with the production planning. The approach uses the “odds algorithm” and is based upon the theory of optimal stopping. The objective is to select, among all the production stoppages already planned, those which will be optimal to develop maintenance tasks keeping the expected product conditions. It combines criteria such as product performance and component reliability. An approach evaluation is shown on a practical example.

Mots clés: opportunistic maintenance; production stoppage; decision-making; odds algorithm; Bruss algorithm

Domaines: Automatique / Robotique

Eric Levrat, Edouard Thomas, Benoît Iung. ‘Odds algorithm'-based opportunistic maintenance for preserving component performances. IFAC International conference on Cost Effective Automation in Networked Product Development and Manufacturing, CEA'07, Oct 2007, Monterrey, Mexico. pp.CDROM. ⟨hal-00152693⟩