Assessing the structural complexity of manufacturing systems configurations |
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Authors: | Onur Kuzgunkaya and Hoda A ElMaraghy |
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Affiliation: | (1) Intelligent Manufacturing Systems (IMS) Centre, Faculty of Engineering, University of Windsor, 401 Sunset Avenue, Windsor, Ontario, Canada, N9B 3P4 |
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Abstract: | Modern manufacturing systems are increasingly required to be flexible and adaptable to changing market demands, which adds
to their structural and operational complexity. One of the major challenges at the early design stages is to select a manufacturing
system configuration that both satisfies the production functional requirements and is easy to operate and manage. A new metric
for assessing the structural complexity of manufacturing system configurations is presented in this paper. The proposed complexity
metric incorporates the quantity of information using an entropy approach. It accounts for the complexity inherent in the
various modules in the manufacturing system through the use of an index derived from a newly developed manufacturing systems
classification code. The code captures the effect of various component types and technologies used in a manufacturing system
on the system’s structural complexity. The presented metric would be helpful in selecting the least complex manufacturing
system configuration that meets the requirements. An engine cylinder head production system is used to illustrate the application
of the proposed methodology in comparing feasible but different manufacturing system configurations capable of producing the
cylinder head based on their structurally inherent complexity. |
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Keywords: | Complexity Manufacturing system Reconfiguration |
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