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Empirical reliability requirements allocation method based on industrial data

Author

Listed:
  • Amandine Gay
  • Rosario Toscano
  • Ioan Alexandru Ivan

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.

Suggested Citation

  • Amandine Gay & Rosario Toscano & Ioan Alexandru Ivan, 2016. "Empirical reliability requirements allocation method based on industrial data," International Journal of Reliability and Safety, Inderscience Enterprises Ltd, vol. 10(2), pages 174-193.
    • Handle: RePEc:ids:ijrsaf:v:10:y:2016:i:2:p:174-193
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