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Manufacturing Plant Layout Supported with Data Mining Techniques

  • Bruno Agard
  • Catherine Da Cunha

Abstract

The question of plant layout is central in a manufacturing process. This question becomes even more important in a mass customization context, when a large product diversity has to be managed. The manufacturing process, and specifically the plant layout, has to be designed taking into account this characteristic. When all products are similar, manufacturing plant layouts are relatively easy to design; difficulties come when all products are different and require specific manufacturing operations.

This paper proposes a methodology based on data mining techniques. Different steps are proposed to achieve this goal. The methodology considers:(1) identification of representative sets of products;(2) identification of representative sets of relevant manufacturing processes(for each product family);(3) categorization of new products(identification of the closest product family and the relevant layout). The focus is on data transformations that enable to extract relevant information for the manufacturing plant layout.

Keywords

product families plant layout data mining 

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Copyright information

© Springer 2007

Authors and Affiliations

  1. 1.Département de Mathématiques et de Génie Industriel, École Polytechnique de MontréalCanada
  2. 2.Laboratoire GILCOGrenobleFrance

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