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Quality requirements allocation method based on industrialdata

Published online by Cambridge University Press:  22 May 2014

A. Gay ,
R. Toscano ,
A. Poncet  and
P. Lyonnet
A. Gay
Affiliation:
Universitéde Lyon, Laboratoire de Diagnostic et Imagerie des Procédés Industriels EA 3719 ENISE, 74 rue des Acieries, 42000, Saint-Etienne, France
R. Toscano*
Affiliation:
Volvo Group Truck Technology-Power Train Engineering, 150 rue Edouard Herriot, ZAC Vallée Ozon, 69970 Chaponnay, France
A. Poncet
Affiliation:
Université de Lyon, Laboratoire de Tribologie et de Dynamique des Systèmes CNRS UMR 5513 ECL/ENISE, 58 rue Jean Parot, 42023 Saint-Etienne Cedex 2, France
P. Lyonnet
Affiliation:
Université de Lyon, Laboratoire de Tribologie et de Dynamique des Systèmes CNRS UMR 5513 ECL/ENISE, 58 rue Jean Parot, 42023 Saint-Etienne Cedex 2, France
*
a Corresponding author:[email protected]
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Abstract

Today, to cope with the complexity of the global organization, the industrial companyneeds to be more structured. New processes have to be developed due to more and moreambitious quality requirements. A new problematic arises: what is needed to offer to allcustomers a product that meets the quality requirements of a local market? The mainobjective of this paper is to propose a quality requirements allocation method thatmatches the market specifications and the customer satisfaction. This is in contrast withthe traditional allocation methods which are often time-consuming to implement or do notfocus on the customer satisfaction for the definition of the quality targets. The proposedmethod is inspired from reliability allocation method and is formulated as a feasibilityproblem. In this context the notion of optimality of the solution is not being sought, theobjective is “only” to find out a solution that satisfies the global target quality. Thisallows determining some local quality targets in accordance with industrial data.

Keywords

Quality allocationfault frequencyproduct life cyclefield experienceautomotive vehicle
Type
Research Article
Information
Mechanics & Industry , Volume 15 , Issue 3 , 2014 , pp. 207 - 216
Copyright
© AFM, EDP Sciences 2014

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