Title: Human factor modelled by fuzzy logic in preventive maintenance actions

Authors: María Agustina Segura; Sophie Hennequin; Brigitte Finel

Addresses: Ecole Nationale d'Ingénieurs de Metz/LGIPM, 1, route d'Ars Laquenexy, CS 65820, F 57078 Metz Cedex 3, France ' Ecole Nationale d'Ingénieurs de Metz/LGIPM, 1, route d'Ars Laquenexy, CS 65820, F 57078 Metz Cedex 3, France ' Ecole Nationale d'Ingénieurs de Metz/LGIPM, 1, route d'Ars Laquenexy, CS 65820, F 57078 Metz Cedex 3, France

Abstract: This paper uses fuzzy logic to model the imperfections of maintenance actions due to operators. In general, enterprises using a perfect maintenance policy must introduce important maintenance improvement tools to ensure that maintenance actions are really perfect. In fact, the accuracy of such actions can never be pulled apart of the human factor and so, its inclusion in the maintenance programmes is crucial to reduce maintenance costs. Nevertheless, this human factor is very difficult to model and therefore it is generally not included in maintenance programmes. Accordingly, the interest in ruled-based fuzzy logic arises as an important tool to model system imperfections such as worker's skills. Based on this fuzzy model, a minimisation of maintenance costs is considered in this paper and compared with a perfect maintenance model.

Keywords: imperfect maintenance; preventive maintenance; human factors; worker skills; fuzzy logic; fuzzy modelling; maintenance costs.

DOI: 10.1504/IJOR.2016.078468

International Journal of Operational Research, 2016 Vol.27 No.1/2, pp.316 - 340

Received: 02 Nov 2013
Accepted: 08 May 2014
Published online: 22 Aug 2016 *

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