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Fuzzy process capability indices for simple linear profile

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  • Zainab Abbasi Ganji
  • Bahram Sadeghpour Gildeh

Abstract

Process capability indices are numerical tools that quantify how well a process can meet customer requirements, specifications or engineering tolerances. Fuzzy logic is incorporated to deal imprecise, incomplete data along with uncertainty. This paper develops two fuzzy methods for measuring the process capability in simple linear profiles for the circumstances in which lower and upper specification limits are imprecise. To guide practitioners, numerical example is provided.

Suggested Citation

  • Zainab Abbasi Ganji & Bahram Sadeghpour Gildeh, 2020. "Fuzzy process capability indices for simple linear profile," Journal of Applied Statistics, Taylor & Francis Journals, vol. 47(12), pages 2136-2158, September.
    • Handle: RePEc:taf:japsta:v:47:y:2020:i:12:p:2136-2158
    DOI: 10.1080/02664763.2019.1704225
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    Cited by:

    1. Chun-Ming Yang & Tsun-Hung Huang & Kuen-Suan Chen & Chi-Han Chen & Shiyao Li, 2022. "Fuzzy Quality Evaluation and Analysis Model for Improving the Quality of Unleaded Gasoline to Reduce Air Pollution," Mathematics, MDPI, vol. 10(15), pages 1-13, August.

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