An Iterative Clustering Approach Based on Material Flow Requirements for Cellular Designs

An Iterative Clustering Approach Based on Material Flow Requirements for Cellular Designs

This paper presents an iterative clustering process involving the addition of cells to a proposed cellular design to determine the best assignment of machines to cells. The assignment of machines to each cell is based on material flow clustering techniques with the objective of minimizing inter-cell...

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Veröffentlicht in:Journal of intelligent & robotic systems 2010-12, Vol.60 (3-4), p.493-511
Hauptverfasser: Wei, Nai-Chieh, Mejabi, Olugbenga O., Chen, Hong Long
Format: Artikel
Sprache:eng
Schlagworte:
Artificial Intelligence
Cellular
Clustering
Control
Design engineering
Electrical Engineering
Engineering
Mechanical Engineering
Mechatronics
Optimization
Robotics
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Zusammenfassung:This paper presents an iterative clustering process involving the addition of cells to a proposed cellular design to determine the best assignment of machines to cells. The assignment of machines to each cell is based on material flow clustering techniques with the objective of minimizing inter-cell flows. To determine the performance of the proposed clustering approach, comparisons are made with an Exhaustive Search (ES) approach to show the relative optimality.
ISSN:0921-0296
1573-0409
DOI:10.1007/s10846-010-9428-5