A new way to identify critical resources by combining human and machine data

Barbara Lyonnet (1) , Magali Pralus (2) , Maurice Pillet (2) , Georges Habchi (2)

1 LEMNA - Laboratoire d'économie et de management de Nantes Atlantique
2 SYMME - Laboratoire SYstèmes et Matériaux pour la MEcatronique

In business management, the identification of high priority resources represents an important issue. In this paper we developed a new method based on a multi-criteria approach to identify critical resources. Eight prioritisation criteria involved in the company's global performance are proposed. The originality of our method is to take into account both material and human resources of company. Accordingly, a human-machine availability including the versatility of machine-operators is developed. We applied our method in a French screw cutting company. One great interest in identifying critical resources is helping managers to focus more effectively on resources that penalise the company's global performance.

Mots clés: Multicriteria approach; Performance measures; Human-machine availability; Lean approach; Preventive maintenance; Production management; Critical resources; Resource identification; Resource prioritisation; Prioritisation criteria; Material resources; Human resources; France; Screw cutting; Firm performance; Gobal performance; Criticality matrix

Domaines: Génie mécanique [physics.class-ph]; Gestion et management

Barbara Lyonnet, Magali Pralus, Maurice Pillet, Georges Habchi. A new way to identify critical resources by combining human and machine data. International Journal of Business Excellence, 2016, 9 (3), pp.271-292. ⟨10.1504/ijbex.2016.075591⟩. ⟨hal-01331655⟩