IDEAS home Printed from https://ideas.repec.org/a/taf/uiiexx/v44y2012i2p136-154.html
   My bibliography  Save this article

A waste relationship model and center point tracking metric for lean manufacturing systems

Author

Listed:
  • Sainath Gopinath
  • Theodor Freiheit

Abstract

Lean manufacturing is about eliminating waste, which requires the creation of waste metrics that are tracked in order to create the conditions for its elimination. In this article, metrics used to monitor the seven traditional non-value adding wastes types of overproduction, defects, transportation, waiting, inventory, motion, and processing are explored and a “center point metric pair” is proposed that can give systematic insight into system waste performance and trade-offs. For example, lower work-in-process levels (inventory waste) may require more replenishment (transportation waste) in order to maintain production. A waste relationship model is proposed that can be used to derive the relationship between different wastes in a Pareto-optimal waste-dependent lean system. The trade-off relationships are statistically verified using simulation experiments across different system configurations, complexities, and planning scenarios.

Suggested Citation

  • Sainath Gopinath & Theodor Freiheit, 2012. "A waste relationship model and center point tracking metric for lean manufacturing systems," IISE Transactions, Taylor & Francis Journals, vol. 44(2), pages 136-154.
    • Handle: RePEc:taf:uiiexx:v:44:y:2012:i:2:p:136-154
    DOI: 10.1080/0740817X.2011.593609
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0740817X.2011.593609
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0740817X.2011.593609?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Carolina Cruz Villazón & Leonardo Sastoque Pinilla & José Ramón Otegi Olaso & Nerea Toledo Gandarias & Norberto López de Lacalle, 2020. "Identification of Key Performance Indicators in Project-Based Organisations through the Lean Approach," Sustainability, MDPI, vol. 12(15), pages 1-19, July.
    2. Soliman, Marlon & Saurin, Tarcisio Abreu & Anzanello, Michel Jose, 2018. "The impacts of lean production on the complexity of socio-technical systems," International Journal of Production Economics, Elsevier, vol. 197(C), pages 342-357.
    3. 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.
    4. Lakhan Patidar & Vimlesh Kumar Soni & Pradeep Kumar Soni, 2017. "Manufacturing wastes analysis in lean environment: an integrated ISM-fuzzy MICMAC approach," 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. 8(2), pages 1783-1809, November.

    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:taf:uiiexx:v:44:y:2012:i:2:p:136-154. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/uiie .

    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.