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Reliability as an added‐value factor in an automotive clutch system
Author(s) -
Teixeira Carlos Adriano Rigo,
Cavalca Kátia Lucchesi
Publication year - 2008
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.889
Subject(s) - reliability engineering , reliability (semiconductor) , automotive industry , quality function deployment , product (mathematics) , quality (philosophy) , fault tree analysis , computer science , relation (database) , product lifecycle , new product development , risk analysis (engineering) , engineering , operations research , operations management , value engineering , mathematics , business , power (physics) , physics , geometry , philosophy , epistemology , quantum mechanics , database , aerospace engineering , marketing
In the present competitive scenario, companies face the challenge of developing new products in a short time period, with superior technology in relation to prior developments and reduced costs to guarantee the survival of their business. Success is directly coupled with client requirements where quality and reliability should be the highest feasible, whereas deadlines and price have to be the lowest possible. This paper discusses tools and methods applied to planning and assurance of quality, which have to be taken into account at the product conception project, which concerns the phase in which quality, reliability and the final price of a product are technically defined. A methodology is presented for this purpose, and it can be extended to any product or system with few adaptations concerning quality, reliability and cost models. The product selected for the case‐study analysis in this work is an automotive clutch. The methodology proposed for the analysis is a combination of the KANO method, target cost and value analysis with respect to the assessment of client requirement compliance levels and the determination of the choice of functions—whose relative costs are above relative needs, therefore offering optimization or elimination potential. Thus, the reliability concepts of statistical distributions and fault tree analysis are employed to locate critical components and quantify design temporary performance. To provide life tests results to the highest failure risk in the system, the planning and deployment of accelerated tests are carried out. The final goal of this paper is the reliability assessment based on critical levels for the analysis of components to be improved or optimized and, mainly, to create a methodology for the development of optimized products. Copyright © 2007 John Wiley & Sons, Ltd.