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Process Capability Evaluation Using Capability Indices as a Part of Statistical Process Control

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  • Marta Benková

    (Institute of Control and Informatization of Production Processes, Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Košice, Němcovej 3, 042 00 Košice-Sever, Slovakia)

  • Dagmar Bednárová

    (Institute of Control and Informatization of Production Processes, Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Košice, Němcovej 3, 042 00 Košice-Sever, Slovakia)

  • Gabriela Bogdanovská

    (Institute of Control and Informatization of Production Processes, Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Košice, Němcovej 3, 042 00 Košice-Sever, Slovakia)

Abstract

This study aims to highlight the importance of a systematic approach to process capability assessment and the importance of following a sequence of steps. Statistical process control provides several different ways of assessing process capability. This study evaluates the process capability of crown cap manufacturing through capability indices. In addition to calculating the indices, the evaluation involves extensive data analysis. Before calculating the capability indices, the assumptions for their correct selection and use were also verified. Several statistical tests were used to verify each assumption. The research value of the study lies in pointing out that not all tests led to the same conclusions. It highlights the importance of selecting the appropriate test type for the evaluated process quality characteristics.

Suggested Citation

  • Marta Benková & Dagmar Bednárová & Gabriela Bogdanovská, 2024. "Process Capability Evaluation Using Capability Indices as a Part of Statistical Process Control," Mathematics, MDPI, vol. 12(11), pages 1-29, May.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:11:p:1679-:d:1403889
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    References listed on IDEAS

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    6. Moutushi Chatterjee & Ashis Kumar Chakraborty, 2015. "Distributions and Process Capability Control Charts for CPU and CPL Using Subgroup Information," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 44(20), pages 4333-4353, October.
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