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Six Sigma DMAIC Yield Analysis

Six Sigma DMAIC Yield Analysis

Copyright: © 2024 |Pages: 17
ISBN13: 9798369337875|ISBN13 Softcover: 9798369350614|EISBN13: 9798369337882
DOI: 10.4018/979-8-3693-3787-5.ch002
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MLA

. "Six Sigma DMAIC Yield Analysis." Six Sigma DMAIC and Markov Chain Monte Carlo Applications to Financial Risk Management, edited by Vojo Bubevski, IGI Global, 2024, pp. 11-27. https://doi.org/10.4018/979-8-3693-3787-5.ch002

APA

. (2024). Six Sigma DMAIC Yield Analysis. In V. Bubevski (Ed.), Six Sigma DMAIC and Markov Chain Monte Carlo Applications to Financial Risk Management (pp. 11-27). IGI Global. https://doi.org/10.4018/979-8-3693-3787-5.ch002

Chicago

. "Six Sigma DMAIC Yield Analysis." In Six Sigma DMAIC and Markov Chain Monte Carlo Applications to Financial Risk Management, edited by Vojo Bubevski, 11-27. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-3787-5.ch002

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Abstract

The imported materials and components are usually include a small number that are defective, but it isn't known how many or how much it is costing. The gathered data is on the number of defective components that become defective at various points in the manufacturing process. On the surface, it appears that defective parts are not a major problem. Upwards of 99% of components are acceptable at each stage of the process. However, the combined effect of the defective parts leads to 15-20% waste in final products, which can translate into 200,000 defective units per million produced. For example, if materials cost $0.50 per unit, you will lose approximately $100,000 in waste before counting labor, machine time, and other expenses. Therefore, Six Sigma DMAIC is used to improve the existing products and/or processes.

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