Enhancing Cost-effectiveness of phase-in Six-Sigma Program through Horizontal Integration in DMAIC Steps of Improvement Projects

• Main Authors: Wu , Yi-Chi, 吳逸奇
• Other Authors: Chen, Chee-Cheng
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/64546119076810498524

碩士 === 國立屏東科技大學 === 企業管理系所 === 102 === Due to rapid changes in consumer demand, product life cycle has been shrinking dramatically, which causes product lines increasing and also need to develop new product rapidly, progressive product development innovation has lead to product diversity for smaller market segments. Management tools and improved methods are used to reduce costs, improve efficiency and quality, to enhance industrial competitiveness, especially in the development phase is essential for enterprises. The Six Sigma program has received great attention for its huge success in improving quality since 1990, Following the Define, Measure, Analyze, Improve and Control (DMAIC) procedures approach to reconstruct manufacturing processes to improve quality assurance management competitive ability. However, when multiple six sigma improvement projects simultaneously run, similar results often occur and waste of resources. In this study Six Sigma five steps (DMAIC) technology is used as the basis to combine with improving project planning. This study also aims at the weaknesses of analyzing phase of DMAIC model and horizontal integration and yield rate analysis using DOE techniques, and hereby to ascertain innovation opportunity in the process of aim analyzing and analyzing of the key causes effectively to eliminate senseless waste. The new follow of analyzing the key causes in multiple projects simultaneously of using six sigma DMAIC model was established, and the weakness of analyzing phase of six sigma DMAIC model was improved .The process and method of applying the new follow to analyzing problems are explained with an example .The process and method of applying the new follow to analyzing problems are explained with an example to prove the feasibility of this methodology and performance assessment.