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Process capability analysis for simple linear profiles

Author

Listed:
  • Aylin Pakzad

    (Kosar University of Bojnord)

  • Saeed Adibfar

    (Iran University of Science and Technology)

  • Hamideh Razavi

    (Ferdowsi University of Mashhad)

  • Rassoul Noorossana

    (Iran University of Science and Technology
    University of Central Oklahoma)

Abstract

When a process is under statistical control, one is usually interested in evaluating process performance based on specification limits (SLs) provided by customer. This evaluation is referred to as process capability analysis. This study provides a new method to measure process capability index (PCI) for a simple linear profile based on its parameters. In this regard, the SLs for the proposed PCIs (SLs for the profile parameters) are presented based on SLs of the response variable while considering the in-control profiles. Simulation results reveal satisfactory performance for the proposed method considering absolute percentage error criterion. In addition, the minimum number of profile samples for estimation of the proposed PCIs are determined. A real case in calibration application is also considered to show the applicability of the proposed method in practice.

Suggested Citation

  • Aylin Pakzad & Saeed Adibfar & Hamideh Razavi & Rassoul Noorossana, 2024. "Process capability analysis for simple linear profiles," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(3), pages 2183-2211, June.
    • Handle: RePEc:spr:qualqt:v:58:y:2024:i:3:d:10.1007_s11135-023-01726-4
    DOI: 10.1007/s11135-023-01726-4
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    References listed on IDEAS

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    1. Kim, Sungil & Kim, Heeyoung, 2016. "A new metric of absolute percentage error for intermittent demand forecasts," International Journal of Forecasting, Elsevier, vol. 32(3), pages 669-679.
    2. 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.
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