IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v95y2005i1p109-121.html
   My bibliography  Save this article

Using fixed and adaptive multivariate SPC charts for online SMD assembly monitoring

Author

Listed:
  • Villalobos, J. Rene
  • Munoz, Luis
  • Gutierrez, Marco A.

Abstract

No abstract is available for this item.

Suggested Citation

  • Villalobos, J. Rene & Munoz, Luis & Gutierrez, Marco A., 2005. "Using fixed and adaptive multivariate SPC charts for online SMD assembly monitoring," International Journal of Production Economics, Elsevier, vol. 95(1), pages 109-121, January.
    • Handle: RePEc:eee:proeco:v:95:y:2005:i:1:p:109-121
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925-5273(03)00380-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Peruchi, Rogério Santana & Balestrassi, Pedro Paulo & de Paiva, Anderson Paulo & Ferreira, João Roberto & de Santana Carmelossi, Michele, 2013. "A new multivariate gage R&R method for correlated characteristics," International Journal of Production Economics, Elsevier, vol. 144(1), pages 301-315.
    2. Tari, Juan Jose & Molina, Jose Francisco & Castejon, Juan Luis, 2007. "The relationship between quality management practices and their effects on quality outcomes," European Journal of Operational Research, Elsevier, vol. 183(2), pages 483-501, December.
    3. Pan, J.N., 2007. "A study of multivariate pre-control charts," International Journal of Production Economics, Elsevier, vol. 105(1), pages 160-170, January.
    4. Pan, Xia & Jarrett, Jeffrey, 2007. "Using vector autoregressive residuals to monitor multivariate processes in the presence of serial correlation," International Journal of Production Economics, Elsevier, vol. 106(1), pages 204-216, March.
    5. Liu, J.Y. & Xie, M. & Goh, T.N. & Liu, Q.H. & Yang, Z.H., 2006. "Cumulative count of conforming chart with variable sampling intervals," International Journal of Production Economics, Elsevier, vol. 101(2), pages 286-297, June.
    6. Costa, Antonio Fernando Branco & Machado, Marcela Aparecida Guerreiro, 2011. "Variable parameter and double sampling charts in the presence of correlation: The Markov chain approach," International Journal of Production Economics, Elsevier, vol. 130(2), pages 224-229, April.

    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:eee:proeco:v:95:y:2005:i:1:p:109-121. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.