IDEAS home Printed from https://ideas.repec.org/a/ids/ijbire/v29y2022i4p479-500.html
   My bibliography  Save this article

An optimised model to enhance the performance of manufacturing small and medium enterprises by implementing advanced manufacturing technologies

Author

Listed:
  • Arishu Kaushik
  • Doordarshi Singh

Abstract

The research aims to generate an optimised model to find out the impact of advanced manufacturing technologies on performance parameters in the small and medium enterprises of northern India. With the help of a cross-sectional survey, data collected from the manufacturing small and medium enterprises of the northern region of India was analysed using structural equation modelling. Advanced manufacturing technologies, namely, enterprise resource planning, automated material handling and storage, computer aided manufacturing and computer aided design have been considered in this research. Their impact has been analysed on performance factors, namely, production, quality, flexibility and health and safety. The optimised model generated using structural equation modelling can be helpful in guiding the industrialists and management who are planning for or implementing the advanced manufacturing technologies. The results and conclusions of the current work give rise to expressive implications for industrialists, entrepreneurs, academia, researchers and practitioners as well.

Suggested Citation

  • Arishu Kaushik & Doordarshi Singh, 2022. "An optimised model to enhance the performance of manufacturing small and medium enterprises by implementing advanced manufacturing technologies," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 29(4), pages 479-500.
    • Handle: RePEc:ids:ijbire:v:29:y:2022:i:4:p:479-500
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=127609
    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:ijbire:v:29:y:2022:i:4:p:479-500. 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=203 .

    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.