IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/3975.html
   My bibliography  Save this paper

Formation of machine groups and part families in cellular manufacturing systems using a correlation analysis approach

Author

Listed:
  • Hachicha, Wafik
  • Masmoudi, Faouzi
  • Haddar, Mohamed

Abstract

The important step in the design of a cellular manufacturing (CM) system is to identify the part families and machine groups and consequently to form manufacturing cells. The scope of this article is to formulate a multivariate approach based on a correlation analysis for solving cell formation problem. The proposed approach is carried out in three phases. In the first phase, the correlation matrix is used as similarity coefficient matrix. In the second phase, Principal Component Analysis (PCA) is applied to find the eigenvalues and eigenvectors on the correlation similarity matrix. A scatter plot analysis as a cluster analysis is applied to make simultaneously machine groups and part families while maximizing correlation between elements. In the third stage, an algorithm is improved to assign exceptional machines and exceptional parts using respectively angle measure and Euclidian distance. The proposed approach is also applied to the general Group Technology (GT) problem in which exceptional machines and part are considered. Furthermore, the proposed approach has the flexibility to consider the number of cells as a dependent or independent variable. Two numerical examples for the design of cell structures are provided in order to illustrate the three phases of proposed approach. The results of a comparative study based on multiple performance criteria show that the present approach is very effective, efficient and practical.

Suggested Citation

  • Hachicha, Wafik & Masmoudi, Faouzi & Haddar, Mohamed, 2006. "Formation of machine groups and part families in cellular manufacturing systems using a correlation analysis approach," MPRA Paper 3975, University Library of Munich, Germany, revised 04 Jan 2007.
  • Handle: RePEc:pra:mprapa:3975
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/3975/1/MPRA_paper_3975.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. J. E. King, 1999. "Introduction," Review of Political Economy, Taylor & Francis Journals, vol. 11(3), pages 251-255.
    2. Kitaoka, Masatoshi & Nakamura, Rui & Serizawa, Seiichi & Usuki, Jun, 1999. "Multivariate analysis model for machine-part cell formation problem in group technology," International Journal of Production Economics, Elsevier, vol. 60(1), pages 433-438, April.
    3. Yin, Yong & Yasuda, Kazuhiko, 2006. "Similarity coefficient methods applied to the cell formation problem: A taxonomy and review," International Journal of Production Economics, Elsevier, vol. 101(2), pages 329-352, June.
    4. Stawowy, Adam, 2006. "Evolutionary strategy for manufacturing cell design," Omega, Elsevier, vol. 34(1), pages 1-18, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hachicha, Wafik & Masmoudi, Faouzi & Haddar, Mohamed, 2008. "A Taguchi method application for the part routing selection in Generalized Group Technology: A case Study," MPRA Paper 12376, University Library of Munich, Germany.
    2. Faouzi Masmoudi & Wafik Hachicha & Mohamed Haddar, 2008. "A New Combined Framework for the Cellular Manufacturing Systems Design," Post-Print halshs-00325336, HAL.
    3. Hachicha, Wafik & Masmoudi, Faouzi & Haddar, Mohamed, 2007. "An improvement of a cellular manufacturing system design using simulation analysis," MPRA Paper 8922, University Library of Munich, Germany, revised 22 Dec 2007.

    More about this item

    Keywords

    cellular manufacturing; cell formation; correlation matrix; Principal Component Analysis; exceptional machines and parts;

    JEL classification:

    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:3975. 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: (Joachim Winter) or (Rebekah McClure). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.