Quality requirements allocation method based on industrial data

¹ Universitéde Lyon, Laboratoire de Diagnostic et Imagerie des Procédés Industriels EA 3719 ENISE, 74 rue des Acieries, 42000, Saint-Etienne, France
² 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
³ Volvo Group Truck Technology-Power Train Engineering, 150 rue Edouard Herriot, ZAC Vallée Ozon, 69970 Chaponnay, France

^a Corresponding author: rosario.toscano@enise.fr

Received: 24 December 2012
Accepted: 25 March 2014

Abstract

Today, to cope with the complexity of the global organization, the industrial company needs to be more structured. New processes have to be developed due to more and more ambitious quality requirements. A new problematic arises: what is needed to offer to all customers a product that meets the quality requirements of a local market? The main objective of this paper is to propose a quality requirements allocation method that matches the market specifications and the customer satisfaction. This is in contrast with the traditional allocation methods which are often time-consuming to implement or do not focus on the customer satisfaction for the definition of the quality targets. The proposed method is inspired from 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 quality. This allows determining some local quality targets in accordance with industrial data.