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

Authors: Barbara Lyonnet; Magali Pralus; Maurice Pillet; Georges Habchi

Addresses: LEMNA, University of Nantes, 44000 Nantes, France ' University of Savoie, SYMME, F-74000 Annecy, France ' University of Savoie, SYMME, F-74000 Annecy, France ' University of Savoie, SYMME, F-74000 Annecy, France

Abstract: 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.

Keywords: 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.

DOI: 10.1504/IJBEX.2016.075591

International Journal of Business Excellence, 2016 Vol.9 No.3, pp.271 - 292

Received: 29 May 2014
Accepted: 17 Jun 2014

Published online: 26 Jan 2016 *

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