IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v32y2021i1p23-52.html
   My bibliography  Save this article

System dynamics model to improve productivity in manufacturing industries

Author

Listed:
  • Raju Kamble
  • Lalit Wankhade

Abstract

In this work a model is executed to understand dynamics of the key productivity factors in manufacturing industries. It is aimed to show contribution of key productivity factors in productivity improvement strategy. The diverse causal relations among factors are brought together in a cohesive system dynamics model to investigate performance. Three feedback loops-driver, system and productivity index - are recognized and their role in the dynamics of productivity improvement strategy are discussed. A causal loop diagram is constructed to develop a detailed system dynamics model. This work relies on identification of various attributes affecting productivity, grouping them into key factors, designing and developing a questionnaire, setting causal relations among the key factors. The simulated results conclude that for any industry having no productivity concern should first and foremost focus on enhancing the 'organizational culture', 'human resource management', and 'performance' factors to achieve higher productivity maturity levels in the future.

Suggested Citation

  • Raju Kamble & Lalit Wankhade, 2021. "System dynamics model to improve productivity in manufacturing industries," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 32(1), pages 23-52.
    • Handle: RePEc:ids:ijpqma:v:32:y:2021:i:1:p:23-52
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=112018
    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:ijpqma:v:32:y:2021:i:1:p:23-52. 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=177 .

    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.