Chen-Hsu Chang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Chen-Hsu Chang has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Chien-Hsin Cheng
Department of Electrical and Mechanical Technology, National Changhua University of Education, Changhua 50074, Taiwan
1 shared publication - Chun-Min Yu
Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung 411030, Taiwan
1 shared publication - Kai-Chao Yao
Department of Electrical and Mechanical Technology, National Changhua University of Education, Changhua City 50007, Taiwan
1 shared publication - Kuen-Suan Chen
Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung 411030, Taiwan
1 shared publication
Latest Publications
- Open Access
Fuzzy Evaluation Model for Critical Components of Machine Tools
The rapid progression of emerging technologies like the Internet of Things (IoT) and Big Data analytics for manufacturing has driven innovation across various industries worldwide. Production data are utilized to construct a model for quality evaluation and analysis applicable to components processed by machine tools, ensuring process quality for critical components and final product quality for the machine tools. Machine tool parts often encompass several quality characteristics concurrently, categorized into three types: smaller-the-better, larger-the-better, and nominal-the-better. In this paper, an evaluation index for the nominal-the-better quality characteristic was segmented into two single-sided Six Sigma quality indexes. Furthermore, the process quality of the entire component product was assessed by n single-sided Six Sigma quality indexes. According to numerous studies, machine tool manufacturers conventionally base their decisions on small sample sizes (n), considering timeliness and costs. However, this often leads to inconsistent evaluation results due to significant sampling errors. Therefore, this paper established fuzzy testing rules using the confidence intervals of the q single-sided Six Sigma quality indices, serving as the fuzzy quality evaluation model for components of machine tools.
Open AccessFuzzy Evaluation Model for Critical Components of Machine Tools
The rapid progression of emerging technologies like the Internet of Things (IoT) and Big Data analytics for manufacturing has driven innovation across various industries worldwide. Production data are utilized to construct a model for quality evaluation and analysis applicable to components processed by machine tools, ensuring process quality for critical components and final product quality for the machine tools. Machine tool parts often encompass several quality characteristics concurrently, categorized into three types: smaller-the-better, larger-the-better, and nominal-the-better. In this paper, an evaluation index for the nominal-the-better quality characteristic was segmented into two single-sided Six Sigma quality indexes. Furthermore, the process quality of the entire component product was assessed by n single-sided Six Sigma quality indexes. According to numerous studies, machine tool manufacturers conventionally base their decisions on small sample sizes (n), considering timeliness and costs. However, this often leads to inconsistent evaluation results due to significant sampling errors. Therefore, this paper established fuzzy testing rules using the confidence intervals of the q single-sided Six Sigma quality indices, serving as the fuzzy quality evaluation model for components of machine tools.