A Proposed Systematic Problem Solving Methodology Within Six Sigma Projects Applied for Continuous Improvement of Textile Dyeing Processes
保存先:
| 出版年: | Processes vol. 13, no. 11 (2025), p. 3546-3579 |
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| 第一著者: | |
| その他の著者: | , |
| 出版事項: |
MDPI AG
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| 主題: | |
| オンライン･アクセス: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 抄録: | The present paper aims to develop a systematic, prescriptive, and exclusively statistical problem-solving methodology that integrates scientific experimental design methods with the Six Sigma philosophy. This methodology was used for the study and continuous improvement of a direct dyeing process for textile materials. In the first stages of the methodology, the process was systematically analyzed; color difference was identified, using rank correlation as the main quality requirement of the customer; and the influence of the electrolyte concentration in the dye bath on this quality characteristic was tested, using analysis of variance. In the subsequent stages, a full factorial experiment was carried out to obtain a mathematical model describing the action of the main selected influence factors on the color difference; response surfaces and constant level curves were plotted to find the optimal settings of these influence factors. It was concluded that cotton fabric provides a more uniform chromatic reproduction, i.e., a lower color difference, compared to linen, and the electrolyte concentration of 20 g/L yielded the most stable chromatic performance for both fiber types. |
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| ISSN: | 2227-9717 |
| DOI: | 10.3390/pr13113546 |
| ソース: | Materials Science Database |