IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v2y2007i4p404-422.html
   My bibliography  Save this article

Improving foundry process control: an investigation of cluster analysis and path model

Author

Listed:
  • Vivek V. Khanzode
  • J. Maiti

Abstract

Although the use of multivariate statistical methods in quality control is numerous, the relevance and use of cluster analysis and path modelling in multivariate process control have not been effectively investigated. In this study, an attempt was made to model and control the melting process of a grey iron foundry in western India using cluster analysis and path modelling. Online data was collected for 18 variables in total: three raw materials, six processes, and nine quality variables. Initially, cluster analysis was done and the raw material, process and quality variables were grouped into four clusters. Then, path modelling was conducted to model the interrelationships of the quality, process and raw material characteristics of each of the four clusters separately. The results of these analyses were used to develop an improved control scheme and validated through field investigation under the control scheme. The study showed encouraging results with substantial improvement in Cp values for the quality parameters.

Suggested Citation

  • Vivek V. Khanzode & J. Maiti, 2007. "Improving foundry process control: an investigation of cluster analysis and path model," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 2(4), pages 404-422.
    • Handle: RePEc:ids:ijpqma:v:2:y:2007:i:4:p:404-422
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=13335
    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.

    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:2:y:2007:i:4:p:404-422. 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.