IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v30y2020i4p488-508.html
   My bibliography  Save this article

Cable insulation productivity improvement using Lean Six Sigma

Author

Listed:
  • Fikri Dweiri
  • Samar Ishaq

Abstract

Nowadays organisations are finding innovative ways to improve customer satisfaction and increase profitability. This can only be possible if they continuously and effectively improve their products and processes. The purpose of this study is to improve cable insulation process using Lean Six Sigma (LSS). Define, measure, analyse, improve, and control (DMAIC) and failure mode effect and criticality analysis (FMECA) were used to identify one of the critical problems which is break and crack in insulation layer of cables in a case company. The design of experiment (DOE) was used to reduce the occurrence of break and crack in cable insulation. Three main factors (supplier, temperature and pressure) each with two fixed levels were considered. The result showed that supplier and temperature are the only significant main factors at the 95% significance level. All interaction levels were not significant as well as the pressure main factor. The results show that risk priority number (RPN), which is an indicator for productivity improvement, was reduced from 745 to 205. Also the experiment produced fewer defects that lead to improve productivity.

Suggested Citation

  • Fikri Dweiri & Samar Ishaq, 2020. "Cable insulation productivity improvement using Lean Six Sigma," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 30(4), pages 488-508.
  • Handle: RePEc:ids:ijpqma:v:30:y:2020:i:4:p:488-508
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=108573
    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. Santosh B. Rane & Sandesh Wavhal & Prathamesh R. Potdar, 2023. "Integration of Lean Six Sigma with Internet of Things (IoT) for productivity improvement: a case study of contactor manufacturing industry," 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. 14(5), pages 1990-2018, October.

    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:ijpqma:v:30:y:2020:i:4:p:488-508. 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=177 .

    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.