IDEAS home Printed from https://ideas.repec.org/a/ids/ijbsre/v17y2023i1p97-119.html
   My bibliography  Save this article

Productivity improvement in a paper manufacturing company through lean and IoT - a case study

Author

Listed:
  • K.R. Shriram
  • S. Kishore Karthiban
  • A. Charan Kumar
  • S.K. Mathiarasu
  • P.G. Saleeshya

Abstract

Industries implemented lean techniques experienced a saturation of leanness after a certain period of time. This forced them to look out for optimised lean models. The combination of lean and the internet of things (IoT) promise astonishing advances in the improvement of leanness. This paper focuses on the improvement of leanness with the aid of IoT systems. A case study was performed in a leading board paper manufacturing industry. Fuzzy logic-based lean assessment model assessed the leanness of the industry. Lean tools like value stream mapping, root cause analysis, Jidoka, etc. were performed to identify and eliminate the lean wastes. IoT-based systems were modelled. Leanness of the industry was computed before implementation, after lean implementation and after IoT implementation. The results were used to contrast the improvements shown by lean practices and IoT systems individually, and proved that the combination of lean and IoT have a greater potential for industries in the future.

Suggested Citation

  • K.R. Shriram & S. Kishore Karthiban & A. Charan Kumar & S.K. Mathiarasu & P.G. Saleeshya, 2023. "Productivity improvement in a paper manufacturing company through lean and IoT - a case study," International Journal of Business and Systems Research, Inderscience Enterprises Ltd, vol. 17(1), pages 97-119.
    • Handle: RePEc:ids:ijbsre:v:17:y:2023:i:1:p:97-119
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=127714
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:ids:ijbsre:v:17:y:2023:i:1:p:97-119. 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=206 .

    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.