Title: Empirical reliability requirements allocation method based on industrial data

Authors: Amandine Gay; Rosario Toscano; Ioan Alexandru Ivan

Addresses: Department of Mechanical Engineering, Lyon University-ENISE/LTDS UMR5513, Saint-Etienne, France ' Department of Automatic Control, Lyon University-ENISE/LTDS UMR5513, Saint-Etienne, France ' Department of Automatic Control, Lyon University-ENISE/LTDS UMR5513, Saint-Etienne, France

Abstract: Today, to cope with the complexity of the global organisation, the industrial companies need to be more structured. New processes have to be developed to meet the more and more ambitious quality requirements. A new problematic arises: what is needed to offer all the customers a product that meets the quality requirements of a local market? The main objective of this paper is to propose a reliability allocation method that matches the market specifications and customer satisfaction. This is in contrast with the traditional allocation methods which are often time-consuming to implement or do not focus on customer satisfaction for the definition of the reliability targets. The method we propose here is inspired from the reliability allocation method and is formulated as a feasibility problem. In this context, the notion of optimality of the solution is not being sought; the objective is 'only' to find out a solution that satisfies the global target reliability. This allows determining some local reliability targets in accordance with industrial data.

Keywords: reliability allocation; fault frequency; product life cycle; field experience; automotive components; component reliability; reliability requirements; industrial data; product quality; local markets; market specifications; customer satisfaction; local reliability targets; automobile industry.

DOI: 10.1504/IJRS.2016.078389

International Journal of Reliability and Safety, 2016 Vol.10 No.2, pp.174 - 193

Accepted: 18 Jun 2016
Published online: 15 Aug 2016 *

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