IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v9y2023i10idhcseit2361069.html

Advances in Process Automation Improving Efficiency in Confectionery Production Technology

Author

Listed:
  • Okeke Obinna ThankGod
  • Ugwu-Oju Ukamaka Mary
  • Nwankwo Constance Obiuto

Abstract

Advances in process automation have become central to improving efficiency, quality, and scalability within modern confectionery production technology. As consumer demand grows for diverse, high-quality confectionery products, manufacturers increasingly rely on automated systems to optimize production speed, reduce variability, and maintain strict food safety standards. Current developments in robotics, intelligent dosing mechanisms, continuous processing technologies, and sensor-driven monitoring have transformed traditional batch-based confectionery workflows into highly streamlined and responsive production environments. Automated depositing, tempering, moulding, and packaging systems now integrate precision controls that ensure consistent texture, weight, shape, and coating uniformity, significantly reducing material waste and operational downtime. The integration of advanced monitoring technologies including vision inspection systems, IoT-enabled sensors, and data-driven process control supports real-time quality assurance and predictive maintenance. Machine learning algorithms are increasingly applied to optimize key processing variables such as temperature curves, sugar crystallization behaviour, aeration stability, and viscosity control. These developments enable continuous self-adjustment of production lines, reducing reliance on manual interventions and enhancing throughput consistency. Additionally, digital twins and simulation tools offer virtual modelling of entire confectionery operations, permitting optimization of line layouts, heating and cooling dynamics, and ingredient flow behaviour before physical deployment. Automation also contributes significantly to sustainability and cost efficiency by improving energy utilization, minimizing ingredient losses, and reducing labour-intensive operations. Packaging automation enhances traceability, product safety, and regulatory compliance, while collaborative robotic systems introduce flexible automation options suited to both large-scale and mid-sized confectionery producers. Despite these benefits, challenges remain, including high initial capital investment, integration with legacy equipment, workforce reskilling, and cybersecurity risks associated with interconnected production environments. Overall, advances in process automation represent a transformative force in confectionery production technology, enabling greater efficiency, product consistency, operational agility, and long-term competitiveness. The ongoing convergence of robotics, data analytics, and intelligent control systems is expected to drive further innovation, supporting more adaptive, reliable, and sustainable confectionery manufacturing systems.

Suggested Citation

  • Okeke Obinna ThankGod & Ugwu-Oju Ukamaka Mary & Nwankwo Constance Obiuto, 2023. "Advances in Process Automation Improving Efficiency in Confectionery Production Technology," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 9(10), pages 339-356, October.
  • Handle: RePEc:jbh:ijsrcs:v9:y2023:i10:id:hcseit2361069
    DOI: 10.32628/CSEIT2361069
    Note: Article URL: https://ijsrcseit.com/CSEIT2361069
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT2361069
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT2361069.pdf
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.32628/CSEIT2361069?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
    ---><---

    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:jbh:ijsrcs:v9:y2023:i10:id:hcseit2361069. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.