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

Barbara Lyonnet (), Magali Pralus (), Maurice Pillet () and Georges Habchi ()
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Barbara Lyonnet: LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - IEMN-IAE Nantes - Institut d'Économie et de Management de Nantes - Institut d'Administration des Entreprises - Nantes - UN - Université de Nantes
Magali Pralus: SYMME - Laboratoire SYstèmes et Matériaux pour la MEcatronique - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc
Maurice Pillet: SYMME - Laboratoire SYstèmes et Matériaux pour la MEcatronique - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc
Georges Habchi: SYMME - Laboratoire SYstèmes et Matériaux pour la MEcatronique - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc

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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 (search for similar items in EconPapers)
Date: 2016
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Published in International Journal of Business Excellence, 2016, 9 (3), pp.271-292. ⟨10.1504/ijbex.2016.075591⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01331655

DOI: 10.1504/ijbex.2016.075591

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