IDEAS home Printed from https://ideas.repec.org/a/ids/ijrsaf/v20y2026i2p156-172.html

Stochastic Petri net-based availability analysis of the feeding system in a sugar processing plant

Author

Listed:
  • Parveen Sihmar
  • Vikas Modgil

Abstract

The sugar industry is increasingly challenged to increase efficiency, reduce waste and ensure continuous production despite complex system dynamics and frequent component failures. This research objective is to identify optimal operating parameters and maintenance strategies to maximise system availability by integrating Stochastic Petri Nets (SPN) with Particle Swarm Optimisation (PSO). This research presents a comprehensive examination of a sugar industry feeding system, employing SPN to model its components and evaluate their performance. Maintenance tasks are prioritised according to the possibility and severity of potential problems by assessing the influence of varying failure and repair rates. The key contribution of this study is the identification of the heat generating system as the most critical subsystem, where optimisation efforts increased availability to 85.57%. The analysis offers practical implications for improving reliability, reducing downtime and lowering operational costs for sugar manufacturers worldwide. Limitations include assumptions of constant failure and repair rates and restricted modelling of human operational errors. The results from this analysis offer practical guidelines for enhancing production system performance and reducing operational costs, thereby benefiting sugar manufacturers globally.

Suggested Citation

  • Parveen Sihmar & Vikas Modgil, 2026. "Stochastic Petri net-based availability analysis of the feeding system in a sugar processing plant," International Journal of Reliability and Safety, Inderscience Enterprises Ltd, vol. 20(2), pages 156-172.
    • Handle: RePEc:ids:ijrsaf:v:20:y:2026:i:2:p:156-172
    as

    Download full text from publisher

    File URL: https://www.inderscience.com/link.php?id=153143
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    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:ids:ijrsaf:v:20:y:2026:i:2:p:156-172. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=98 .

    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.