IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this book chapter

Root Cause Analysis Using Internal Benchmarking

Listed author(s):
  • Maleewan Sapcharoenkul

    (Faculty of Engineering, Kasetsart University, Thailand)

  • Pornthep Anussornnitisarn

    (Faculty of Engineering, Kasetsart University, Thailand)

  • Suparerk Sooksmarn

    (Faculty of Business Administration, Kasetsart University, Thailand)

Registered author(s):

    Nowadays, most companies are facing with many problems in production. One of them is the companies cannot balance the quantity produced to flow smoothly during processes. It causes more work in process and waiting time during process. The objective of this research is to analyze the efficient performance, to find the actual root-cause, and to improve the production line. In this article, textile spinning company is a case. This research analyzed the performance of each station by using internal benchmarking methodology that is referred to Hopp and Spearman (2000) by specifying Cotton SEMI-Comb line which makes a big profit to an organization. It can be found that the production line was inefficient operating because there were more work in process and it spent more time in the system during May to July, 2010. As a result, the inefficient stations were Roving Station and Winding Station. The improvement of Roving Station is reduction of work in process and cycle time. For Winding Station, the improvement is increasing throughput. This principle can be applied to production planning in order to set the layout and to improve the ability of an organization to deliver the products as customer requirements.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    File Function: full text
    Download Restriction: no

    File URL:
    File Function: Conference Programme
    Download Restriction: no

    in new window

    This chapter was published in: Maleewan Sapcharoenkul & Pornthep Anussornnitisarn & Suparerk Sooksmarn , , pages 1029-1037, 2012.
    This item is provided by International School for Social and Business Studies, Celje, Slovenia in its series Knowledge and Learning: Global Empowerment; Proceedings of the Management, Knowledge and Learning International Conference 2012 with number 1029-1037.
    Handle: RePEc:isv:mklp12:1029-1037
    Contact details of provider: Web page:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:isv:mklp12:1029-1037. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Alen Ježovnik)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.