As manufacturing systems become increasingly complex, manufacturing enterprises face the challenging need for precise, effective process capability analyses. However, acquisition of process data, characterized by larger volume and complexity, is much easier, consequently making process capability analysis more difficult. Traditional process capability analysis methods such as Cp or Cpk are not adequate for large volume process data collected over time because these methods assume that process distribution remains unchanged. Therefore, the goal of this paper is to explore the use of sample entropy (SampEn) as it relates to univariate process capability analysis. The proposed method, which alleviates the fixed distribution assumption, can identify changing process variations over time. We proposed a novel method based on Adjusted Sample Entropy (AdSEn) to quantify process variation changes. A study based on simulation data sets showed that the proposed method provides adequate process capability information.
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ASME 2015 International Manufacturing Science and Engineering Conference
June 8–12, 2015
Charlotte, North Carolina, USA
Conference Sponsors:
- Manufacturing Engineering Division
ISBN:
978-0-7918-5682-6
PROCEEDINGS PAPER
A Novel Method Based on Adjusted Sample Entropy for Process Capability Analysis in Complex Manufacturing Processes Available to Purchase
Xianguang Kong,
Xianguang Kong
Xidian University, Xian, Shanxi, China
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Shing I. Chang,
Shing I. Chang
Kansas State University, Manhattan, KS
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Zheng Zhang
Zheng Zhang
Kansas State University, Manhattan, KS
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Xianguang Kong
Xidian University, Xian, Shanxi, China
Shing I. Chang
Kansas State University, Manhattan, KS
Zheng Zhang
Kansas State University, Manhattan, KS
Paper No:
MSEC2015-9417, V001T02A035; 7 pages
Published Online:
September 25, 2015
Citation
Kong, X, Chang, SI, & Zhang, Z. "A Novel Method Based on Adjusted Sample Entropy for Process Capability Analysis in Complex Manufacturing Processes." Proceedings of the ASME 2015 International Manufacturing Science and Engineering Conference. Volume 1: Processing. Charlotte, North Carolina, USA. June 8–12, 2015. V001T02A035. ASME. https://doi.org/10.1115/MSEC2015-9417
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