IDEAS home Printed from https://ideas.repec.org/h/spr/prochp/978-3-031-99219-3_5.html

Internet of Things-Based System for Real-Time Monitoring of Margarine Production Process: A Case Study of SAVONOR in Burundi

In: Advancement in Embedded and Mobile Systems

Author

Listed:
  • Ezechiel Niyonzima

    (Tanzania School of Computational and Communication Science and Engineering, The Nelson Mandela Africa Institution of Science and Technology (NM-AIST))

  • Shubi Kaijage

    (Tanzania School of Computational and Communication Science and Engineering, The Nelson Mandela Africa Institution of Science and Technology (NM-AIST))

  • Elizabeth Mkoba

    (Tanzania School of Computational and Communication Science and Engineering, The Nelson Mandela Africa Institution of Science and Technology (NM-AIST))

  • Beatus Mbunda

    (Tanzania School of Computational and Communication Science and Engineering, The Nelson Mandela Africa Institution of Science and Technology (NM-AIST))

Abstract

This paper presents an Internet of Things (IoT)-based system developed to enhance the margarine production process by enabling real-time monitoring of critical production parameters such as temperature, pH levels, color, and humidity. The system addresses challenges faced by the margarine production department at SAVONOR, Burundi, particularly in the areas of temperature regulation, quality control, and the need for manual intervention. The system aims to improve production efficiency and quality by integrating IoT sensors and actuators through real-time data collection, automated alerts, and remote monitoring. This work provides insights into the system’s reliability, sensor calibration, and integration with existing production infrastructure. Importantly, user acceptance testing (UAT) was conducted, and the results were 85%, demonstrating the system's high functionality and performance, and the satisfaction of the users.

Suggested Citation

  • Ezechiel Niyonzima & Shubi Kaijage & Elizabeth Mkoba & Beatus Mbunda, 2026. "Internet of Things-Based System for Real-Time Monitoring of Margarine Production Process: A Case Study of SAVONOR in Burundi," Progress in IS, in: Jorge Marx Gómez & Antoine Gatera & Devotha Godfrey Nyambo (ed.), Advancement in Embedded and Mobile Systems, pages 69-80, Springer.
  • Handle: RePEc:spr:prochp:978-3-031-99219-3_5
    DOI: 10.1007/978-3-031-99219-3_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:prochp:978-3-031-99219-3_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.

    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.