IDEAS home Printed from https://ideas.repec.org/a/spr/opsear/v60y2023i4d10.1007_s12597-023-00639-y.html
   My bibliography  Save this article

Measurement of the efficiency of a Multi–Input–Multi–Output (MIMO) production process using transfer function and fuzzy logic

Author

Listed:
  • Francis Ikechukwu Obidike

    (Chukwuemeka Odumegwu Ojukwu University)

  • Chidozie Chukwuemeka Nwobi-Okoye

    (Chukwuemeka Odumegwu Ojukwu University)

Abstract

Transfer function and fuzzy logic were used to measure the efficiency of a Multi–Input–Multi–Output production process. The process studied was used for the production of noodles. The procedure involved obtaining the weekly inputs and outputs of the noodle production system for 52 weeks between 2021 and 2022. The inputs data, which consists of electricity consumption in Kilowatts hour (kWh) and raw material consumption in kg, and the outputs which were the three varieties of noodles produced were used to obtain the quarterly efficiency of the plant using transfer function and fuzzy logic. The results show that quarter 2 with a System’s Coefficient of Performance (SCOP) of 0.77 was the most efficient while the 3rd quarter with a SCOP of 0.658 was the least efficient. The study once again demonstrated the power of transfer function and fuzzy logic to determine SCOP which measures the effectiveness of quality control and productivity improvement measures.

Suggested Citation

  • Francis Ikechukwu Obidike & Chidozie Chukwuemeka Nwobi-Okoye, 2023. "Measurement of the efficiency of a Multi–Input–Multi–Output (MIMO) production process using transfer function and fuzzy logic," OPSEARCH, Springer;Operational Research Society of India, vol. 60(4), pages 1976-2000, December.
    • Handle: RePEc:spr:opsear:v:60:y:2023:i:4:d:10.1007_s12597-023-00639-y
    DOI: 10.1007/s12597-023-00639-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12597-023-00639-y
    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/s12597-023-00639-y?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.

    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:opsear:v:60:y:2023:i:4:d:10.1007_s12597-023-00639-y. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.