Taguchi based Case study in the automotive industry: nonconformity decreasing with use of Six Sigma methodology
| Autor: | Ali Rıza Firuzan, Atakan Gerger |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
Nonconformity 021103 operations research Computer science business.industry Design of experiments 0211 other engineering and technologies Automotive industry Six Sigma Process improvement 02 engineering and technology Machine Learning and Other Topics 01 natural sciences Manufacturing engineering 010104 statistics & probability Taguchi methods Based case study Production manager 0101 mathematics Statistics Probability and Uncertainty business |
| Zdroj: | J Appl Stat BASE-Bielefeld Academic Search Engine |
| Popis: | In this study, we applied a conceptual Six Sigma/design of experiment hybrid framework that aims to integrate the Taguchi method and Six Sigma for process improvement in a complex industrial environment. In this context, the Six Sigma methodology was employed on a company operating within the automotive industry to improve a manufacturing process which caused a customer complaint within the company. Studies employing the Taguchi experiment design usually focus on a single variable and neglect the effects of adjustments on remaining quality characteristics. In this study, a multi-response Taguchi design of experiment was preferred, and all of the quality characteristics were taken into account. In our study, define, measure, analysis, improve and control phases were used to reduce the nonconformity rate from 23.940 percent (baseline) to 0.049 percent. As a result of implementing Six Sigma, the sigma level increased from 2.21 (baseline) to 4.80. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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