Determining the contribution of uncorrelated components of product quality variability using a nonlinear functional function for the components

Document Type : Original Article

Authors

1 Master's student in Industrial Engineering, Faculty of Industrial Engineering, Islamic Azad University, South Tehran Branch.

2 Associate Professor of Industrial Engineering, Faculty of Industrial Engineering, Islamic Azad University, South Tehran Branch.

Abstract
Dispersion is the enemy of quality and an inherent and integral part of manufactured products. Therefore, identifying critical components and their contribution to total variation is an important engineering task, and measuring it in general without the most restrictive assumptions is very complex. The present article presents a systematic approach that can identify the contribution of each component to the total variability in a complex system, in proportion to the type of mechanism of action of the components. The index introduced in this study determines the contribution of the components and can be used as a measure of the criticality of the components of a system. The application of the proposed method in this article does not require any assumptions regarding the linearity of the functional function of the components or the normality of the statistical distribution of the quality characteristics, and includes the analysis of all systems with uncorrelated components. The proposed solution can be used as a powerful tool in the analysis phase of Six Sigma and Lean Six Sigma, and with its help, it is possible to prioritize and policy the use of resources in order to reduce process dispersion. To understand the proposed method in more detail, two well-known examples in industrial engineering are described.

Keywords


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