IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v15y2024i7d10.1007_s13198-024-02360-5.html
   My bibliography  Save this article

Enhancing process mean monitoring efficiency using extended-EWMA control chart with auxiliary information

Author

Listed:
  • Aamir Sanaullah

    (COMSATS University Islamabad, Lahore Campus)

  • Aqsa Hussain

    (COMSATS University Islamabad, Lahore Campus)

  • Prayas Sharma

    (Babasaheb Bhimrao Ambedkar University)

Abstract

For monitoring the outputs of production processes, statistical process control (SPC) is widely used. The control chart (CC) stands as the most important SPC tool for differentiating between unnatural and natural sources of variation. Unnatural sources typically result in changes in the value of process parameters, which are categorized into three levels: minor, moderate, and high. While memory-less CCs excel in identifying large shifts, memory-based CCs such as exponentially weighted moving average (EWMA) and extended exponentially weighted moving average (EEWMA) CCs are optimal for detecting minor-to-moderate shifts in process parameter values. Detection ability of CCs is enhanced by using auxiliary variable. This study is conducted to propose an EEWMA CC using auxiliary information named as MyEEWMA CC. The proposed MyEEWMA chart is evaluated through average run length criterion. In the practical industrial applications with the density and stiffness of particle board data, the MyEEWMA CC detected process deviations earlier than existing EEWMA, and MyEWMA CCs. Specifically, the MyEEWMA chart signaled an issue by the 25th sample, whereas the EEWMA, and MyEWMA CCs did not detect any deviations even after the 25th sample. This tangible evidence underscores the superior efficiency of the proposed MyEEWMA CC in industrial settings.

Suggested Citation

  • Aamir Sanaullah & Aqsa Hussain & Prayas Sharma, 2024. "Enhancing process mean monitoring efficiency using extended-EWMA control chart with auxiliary information," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(7), pages 3522-3537, July.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:7:d:10.1007_s13198-024-02360-5
    DOI: 10.1007/s13198-024-02360-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-024-02360-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-024-02360-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nasir Abbas & Muhammad Riaz & Ronald J. M. M. Does, 2014. "An EWMA-Type Control Chart for Monitoring the Process Mean Using Auxiliary Information," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 43(16), pages 3485-3498, August.
    2. Aamir Majeed Chaudhary & Aamir Sanaullah & Muhammad Hanif & Mohammad M. A. Almazah & Nafisa A. Albasheir & Fuad S. Al-Duais, 2023. "Efficient Monitoring of a Parameter of Non-Normal Process Using a Robust Efficient Control Chart: A Comparative Study," Mathematics, MDPI, vol. 11(19), pages 1-30, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vasileios Alevizakos & Arpita Chatterjee & Kashinath Chatterjee & Christos Koukouvinos, 2024. "The exponentiated exponentially weighted moving average control chart," Statistical Papers, Springer, vol. 65(6), pages 3853-3891, August.
    2. Su-Fen Yang & Li-Pang Chen & Cheng-Kuan Lin, 2023. "Adjustment of Measurement Error Effects on Dispersion Control Chart with Distribution-Free Quality Variable," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    3. Jen-Hsiang Chen & Shin-Li Lu, 2022. "Economic-Statistical Performance of Auxiliary Information-Based Maximum EWMA Charts for Monitoring Manufacturing Processes," Mathematics, MDPI, vol. 10(13), pages 1-15, July.
    4. Muhammad Aslam & Syed Masroor Anwar, 2020. "An improved Bayesian Modified-EWMA location chart and its applications in mechanical and sport industry," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-19, February.
    5. Maroua Said & Khaoula ben Abdellafou & Okba Taouali, 2020. "Machine learning technique for data-driven fault detection of nonlinear processes," Journal of Intelligent Manufacturing, Springer, vol. 31(4), pages 865-884, April.
    6. Peh Sang Ng & Wai Chung Yeong & Sajal Saha & Sok Li Lim & Wai Kwan Lau, 2024. "Auxiliary information based HEWMA chart using variable sampling interval," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(5), pages 4301-4329, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:15:y:2024:i:7:d:10.1007_s13198-024-02360-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.