Product driven systems facing unexpected perturbations: how operational research models and approaches can be useful?

Alexis Aubry (1) , Hind Bril (1) , André Thomas (1) , Mireille Jacomino (2)

1 CRAN - Centre de Recherche en Automatique de Nancy
2 G-SCOP_GCSP - Gestion et Conduite des Systèmes de Production

Production planning and control and more generally taking a decision in the context of production systems often consider that input information are known, static and predictable. However, uncertainties on data and perturbations are recorded in the genetic of every production system. For instance, it is impossible to know exactly the level of the demand for a product, the availability of resources, etc. Dealing with this issue asks the question of the ability to take robust decisions against uncertainty (off-line) or the ability to be flexible (on-line). This paper proposes to analyze how Product Driven Systems – as reactive systems against unpredicted perturbations – can be part of operational research solution process against perturbations. Moreover, an overview of models and approaches for dealing with uncertainty in Operational Research is given and a first proposition is made for applying these elements into PDS as decision-making-against-perturbations engines.

Mots clés: Operational Research; Flexibility; Robustness; Uncertainty; Production Planning and Control; Product Driven Systems

Domaines: Automatique / Robotique

Alexis Aubry, Hind Bril, André Thomas, Mireille Jacomino. Product driven systems facing unexpected perturbations: how operational research models and approaches can be useful?. 6th workshop on Service Orientation in Holonic and Multi-Agent Manufacturing, SOHOMA 2016, Oct 2016, Lisbonne, Portugal. ⟨10.1007/978-3-319-51100-9_23⟩. ⟨hal-01429707⟩