YUNG-TSAN JOU

Prof. Dr. YUNG-TSAN JOU

Chung Yuan Christian University, Taiwan, Taoyuan District, Taoyuan, Taiwan
orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 December 2009 in Quality & Quantity
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Journal Article
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CYChing-Chow Yang
Ching-Chow Yang
YUNG-TSAN JOUYUNG-TSAN JOU
YUNG-TSAN JOU
LCLai-Yu Cheng
Lai-Yu Cheng

1 November 2009 in Nuclear Engineering and Design
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Journal Article
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YUNG-TSAN JOUYUNG-TSAN JOU
YUNG-TSAN JOU
TYTzu-Chung Yenn
Tzu-Chung Yenn
CLChiuhsiang Joe Lin
Chiuhsiang Joe Lin
CYChih-Wei Yang
Chih-Wei Yang
CCChih-Cheng Chiang
Chih-Cheng Chiang

4 November 2022 in Sustainability
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Journal Article
Open access
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YUNG-TSAN JOUYUNG-TSAN JOU
YUNG-TSAN JOU
RSRiana Magdalena Silitonga
Riana Magdalena Silitonga
MLMing-Chang Lin
Ming-Chang Lin
RSRonald Sukwadi
Ronald Sukwadi
JRJovian Rivaldo
Jovian Rivaldo
Continuous improvement is the prime requirement for all industries to sustain and grow in the competitive global market. This paper is a case study of a manufacturing industry in Taiwan, facing the problem of rejection in the brushless motor product. The DMAIC (Define, Measure, Analyze, Improve, and Control) cycle was used to improve processes to reduce the rejection rate. In the Define phase, anything related to processes, products, suppliers, customers, and customer needs related to good quality products were determined. SIPOC diagrams (Supplier, Input, Process, Output, and Customer) and Critical to Quality (CTQ) were identified. The Measure phase focused on data collection by determining the baseline of the process and determining the root causes of the process. DPMO and the Control Chart were applied in this phase. In the Analyze phase, the causes of production process failures that result in defective products were identified. Tools like Pareto Diagram, Fishbone Diagram, and FMEA were used in this phase. In the Improve phase, the improvement solutions in overcoming priority problems were determined by using the 5W + 1H tool. Several improvement solutions were implemented, such as improvement in inspection methods, re-selection for the supplier, increasing the number of workers, providing training to workers, and others. In the control phase, the Six Sigma values were improved. In January–May 2022, the Six Sigma level increased from 5.11 to 5.44.

1 August 2013 in Safety Science
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Journal Article
Closed access
CLChiuhsiang Joe Lin
Chiuhsiang Joe Lin
TYTzu-Chung Yenn
Tzu-Chung Yenn
YUNG-TSAN JOUYUNG-TSAN JOU
YUNG-TSAN JOU
THTsung-Ling Hsieh
Tsung-Ling Hsieh
CYChih-Wei Yang
Chih-Wei Yang

1 September 2012 in Nuclear Engineering and Design
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Journal Article
Closed access
CYChih-Wei Yang
Chih-Wei Yang
LYLi-Chen Yang
Li-Chen Yang
TCTsung-Chieh Cheng
Tsung-Chieh Cheng
YUNG-TSAN JOUYUNG-TSAN JOU
YUNG-TSAN JOU
SCShian-Wei Chiou
Shian-Wei Chiou

29 July 2022 in Sustainability
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Journal Article
Open access
PDF file
CYChingchow Yang
Chingchow Yang
YUNG-TSAN JOUYUNG-TSAN JOU
YUNG-TSAN JOU
MLMing-Chang Lin
Ming-Chang Lin
RSRiana Magdalena Silitonga
Riana Magdalena Silitonga
RSRonald Sukwadi
Ronald Sukwadi
The Six Sigma program has been widely adopted by industries worldwide since the late-1990s due to GE’s successful implementation, though Motorola initiated it in 1987. Several quality experts, such as Juran and Feigenbaum and several researchers, have concluded that the poor quality in product design will cause vast and chronic costs, which the Six Sigma improvement may not eliminate. The focus of new product development is needed to transfer the quality improvement from the later phases of the Design Life Cycle to the early grades. It is necessary to adopt the “Design for Six Sigma” (DFSS) methodology to achieve the best performance in the early stages and focus on ‘prevention’ instead of ‘problem-solving. In this research, we develop a new DFSS process, including Define, Identify, Measure, Design, Optimize, and Verify (DIMDOV), based on the in-depth study of DFSS and the author’s rich consultant experience. The new DFSS process can be confirmed to be a robust methodology, used to assure the design quality of the product design and manufacturing process design by the application results.