IDEAS home Printed from https://ideas.repec.org/a/igg/jsda00/v10y2021i1p16-30.html
   My bibliography  Save this article

Lean Manufacturing Towards Sustainability: A Grey Relational Framework

Author

Listed:
  • Biswajit Mohapatra

    (KIIT University (Deemed), India)

  • Deepak Singhal

    (KIIT University (Deemed), India)

  • Sushanta Tripathy

    (KIIT University (Deemed), India)

Abstract

This paper intends to capture the attention of the lean researchers towards a shift of priorities of the various techniques implemented in lean and its journey of 40 years in the global scenario. In particular, the paper focuses on the implementation of lean techniques in India under the banner of sustainability. The paper focuses on three industries, a textile industry representing industrial revolution 1.0, an automotive spare parts industry representing industrial revolution 2.0, and an electrical/electronics industry representing industrial revolution 3.0, named ‘A', ‘B', and ‘C', respectively, and analyses the priorities of the eight best techniques of lean in the sustainability phase. The techniques are Kaizen, Poke-Yoke, 5S, Kanban, Just-in-Time, Jidoka, Takt-Time, and Heijunka. The industries ‘A' and ‘C' have Poke-Yoke as the most critical technique and have been ranked one whereas in industry ‘B' 5S emerges as the most prolific technique in the Indian context of these industries.

Suggested Citation

  • Biswajit Mohapatra & Deepak Singhal & Sushanta Tripathy, 2021. "Lean Manufacturing Towards Sustainability: A Grey Relational Framework," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 10(1), pages 16-30, January.
    • Handle: RePEc:igg:jsda00:v:10:y:2021:i:1:p:16-30
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSDA.2021010102
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jsda00:v:10:y:2021:i:1:p:16-30. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.