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A Genetic Algorithm for the Group-Technology Problem

  • Ingo Meents
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2037)

Abstract

The design and production planning of cellular manufacturing systems requires the decomposition of a company’s manufacturing assets into cells. The set of machines has to be partitioned into machine-groups and the products have to be partitioned into part-families. Finding the machine-groups and their corresponding part-families leads to the combinatorial problem of simultaneously partitioning those two sets with respect to technological requirements represented by the part-machine incidence matrix. This article presents a new solution approach based on a grouping genetic algorithm enhanced by a heuristic motivated by cluster analysis methods.

Keywords

Genetic Algorithm Genetic Operator Incidence Matrix Group Technology Goal Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Ingo Meents
    • 1
  1. 1.IBM Deutschland Speichersysteme GmbHMainzGermany

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