IDEAS home Printed from https://ideas.repec.org/a/ids/ijbire/v20y2019i3p283-304.html
   My bibliography  Save this article

Application of lean manufacturing practices in the banking industry - a case study

Author

Listed:
  • Tharun Thomas
  • P.G. Saleeshya

Abstract

Due to the highly competitive nature of service industries, lean manufacturing intervened service sector as a methodology to reduce waste and improve productivity. Among various service industries, banking sector was selected for the study due to the highly customer centric nature, product complexity and increased transactional work volume persisting. Study was focused on implementing lean manufacturing practices in banking industries for which different lean enablers existing in banking sector were explored from a detailed field study conducted among various banks. A modified lean implementation model for banking industry was designed from literature survey and field study conducted. Analytic hierarchy process was executed among the different enablers and sub-enablers of lean model to obtain the priority percentage of each. Based on priority percentage from AHP the lean manufacturing model was implemented in one of the branches of a private sector bank. A few performance indicators were identified, observed and analysed from the period of implementation. Various performance indicators including productivity index and customer satisfaction index of the bank was calculated and improvements were achieved, which helped the private banking branch to perform better in the current global competitive market.

Suggested Citation

  • Tharun Thomas & P.G. Saleeshya, 2019. "Application of lean manufacturing practices in the banking industry - a case study," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 20(3), pages 283-304.
  • Handle: RePEc:ids:ijbire:v:20:y:2019:i:3:p:283-304
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=102713
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jagdish Bhadu & Pramod Kumar & Jaiprakash Bhamu & Dharmendra Singh, 2022. "Lean production performance indicators for medium and small manufacturing enterprises: modelling through analytical hierarchy process," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 978-997, April.

    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:20:y:2019:i:3:p:283-304. 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.