BULLETIN of the

POLISH ACADEMY of SCIENCES

TECHNICAL SCIENCES

BULLETIN of the POLISH ACADEMY of SCIENCES: TECHNICAL SCIENCES
Volume 57, Issue 3, September 2009

Modeling and optimization of manufacturing systems

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pp 217 - 228

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Machine-part grouping and cluster analysis: similarities, distances and grouping criteria

J.W. OWSINSKI
The paper considers the machine-part grouping problem, as equivalent to partitioning the set of machines and operations into subsets, corresponding to block diagonalisation with constraints. The attempts to solve the problem with clustering methods are outlined. The difficulties encountered are presented, related to (i) ambiguity of formulations; (ii) selection of criteria; and (iii) lack of effective algorithms. These are illustrated in more detail with a limited survey of similarity and distance definitions, and of criteria used, constituting the main body of the paper. The return is proposed to the basic paradigm of cluster analysis, as providing simple and fast algorithms, which, even if not yielding optimal solutions, can be controlled in a simple manner, and their solutions improved.
Key words:

group technology, cell formation, machine-part grouping, cluster analysis, agglomerative clustering, similarity definitions, distance definitions.


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Copyright ® Bulletin of the Polish Academy of Sciences: Technical Sciences

October 2009