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A Taguchi method application for the part routing selection in Generalized Group Technology: A case Study

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

Abstract

Cellular manufacturing (CM) is an important application of group technology (GT) that can be used to enhance both flexibility and efficiency in today’s small-to-medium lot production environment. The crucial step in the design of a CM system is the cell formation (CF) problem which involves grouping parts into families and machines into cells. The CF problem are increasingly complicated if parts are assigned with alternative routings (known as generalized Group Technology problem). In most of the previous works, the route selection problem and CF problem were formulated in a single model which is not practical for solving large-scale problems. We suggest that better solution could be obtained by formulating and solving them separately in two different problems. The aim of this case study is to apply Taguchi method for the route selection problem as an optimization technique to get back to the simple CF problem which can be solved by any of the numerous CF procedures. In addition the main effect of each part and analysis of variance (ANOVA) are introduced as a sensitivity analysis aspect that is completely ignored in previous research.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 12376.

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Date of creation: 17 Dec 2008
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Handle: RePEc:pra:mprapa:12376

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Keywords: Cellular Manufacturing; generalized Group Technology; route selection problem; Taguchi method; ANOVA; sensitivity analysis;

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  1. 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.
  2. Caux, C. & Bruniaux, R. & Pierreval, H., 2000. "Cell formation with alternative process plans and machine capacity constraints: A new combined approach," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 279-284, March.
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