Reliability Predictions Using Process Variables


Blemel, Kenneth G.   (1987, ASQC)   Management Sciences, Inc., Albuquerque, NM

41st Annual Quality Congress, May 1987, Minneapolis, MN    Vol. 41    No. 0
QICID: 3364    May 1987    pp. 663-672
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Article Abstract

This paper presents a computerized methodology as an extension of the Taguchi process control methods. The new methodology is currently being applied to the evaluation of mechanical, hydraulic, and hybrid equipment. This paper presents the theory behind the use of process variables using examples related to a mechanical system.Process reliability is related to physics. It relies heavily on understanding of success as wellas failure physics. Process variables are used to study causal relations, normally referred to as stress/strength relationships. The methodology has been computerized to predict field failures. By modelling the processes, the analyst is able to forecast defects (flaws and weaknesses) threats, risks, causes, benefits and effects related to the processes used to design, manufacturing, installation and use of a product.The modelling can be applied to any continuous process such as manufacturing, maintaining, supporting and designing. The use of multiple processes that combine any or all of the product deployment permits the study of risks and benefits that can be derived from hardening, testing, burn-in, and physical inspection.Extensions to a personal computer based field failure reporting system will conclude the presentation.



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