IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v56y2018i4p1414-1431.html
   My bibliography  Save this article

Productivity enhancement strategies in North American automotive industry

Author

Listed:
  • Amir Abolhassani
  • James Harner
  • Majid Jaridi
  • Bhaskaran Gopalakrishnan

Abstract

The aim of this study is to define a robust estimation model of the most dominant labour productivity measurement, Hours per Vehicle (HPV), in the auto industry. Data utilised in this study were from 10 different multinational North American carmakers from 1999 to 2007. Through a comprehensive literature review and practical consideration, 13 important variables that affect HPV were defined and developed. Several robust and advanced statistical methods were utilised to determine the best possible HPV regression equations. The MM estimator, multiple M-estimator, was defined as the best method to perform the data analysis and to derive the robust regression model to estimate HPV. Depending on the car class, the vehicle variety, model types, annual working days, car assembly utilisation and launching a new model penalise HPV; however, annual production volume, flexible manufacturing and year of production improve HPV. Moreover, Japanese plants are the benchmark regarding HPV followed by joint ventures, and American plants.

Suggested Citation

  • Amir Abolhassani & James Harner & Majid Jaridi & Bhaskaran Gopalakrishnan, 2018. "Productivity enhancement strategies in North American automotive industry," International Journal of Production Research, Taylor & Francis Journals, vol. 56(4), pages 1414-1431, February.
    • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:4:p:1414-1431
    DOI: 10.1080/00207543.2017.1359700
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2017.1359700
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2017.1359700?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. Abolhassani, Amir & James Harner, E. & Jaridi, Majid, 2019. "Empirical analysis of productivity enhancement strategies in the North American automotive industry," International Journal of Production Economics, Elsevier, vol. 208(C), pages 140-159.

    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:tprsxx:v:56:y:2018:i:4:p:1414-1431. 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/TPRS20 .

    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.