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http://hdl.handle.net/2080/758
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| Title: | ART based cell formation using combined operation sequence and time |
| Authors: | Mahapatra, S S
Sahu, S
Sudhakarapandian, R |
| Keywords: | Cell Formation
ART1
Group Formation |
| Issue Date: | 2008 |
| Publisher: | IEEE |
| Citation: | Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 8-11 December 2008, Singapore P 1209-1213 |
| Abstract: | The cell formation (CF) problem mainly deals
with clustering of parts into part families and the machines
into machine cells. The parts are grouped into part families
based on similarities in their manufacturing and design
attributes and the machines are allocated into machine cells
to produce the identified part families. The zero-one partmachine
incidence matrix is commonly used as input to any
clustering algorithm. The output is generated in the form of
block diagonal structure. Production data such as operation
time, sequence of operations, batch size etc. that have
significant bearing on smooth flow of materials are not
considered in such methods. In this paper, an attempt has
been made to develop an algorithm based on Adaptive
Resonance Theory (ART) neural network to addresses this
issue by considering combination of operation sequence and
operation time of the parts to enhance the quality of the
solution obtained for the CF problem. A new performance
measure is ... |
| Description: | Copyright belongs to IEEE |
| URI: | http://hdl.handle.net/2080/758 |
| Appears in Collections: | Conference Papers
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Size | Format |
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| ssm-ieee-singapore.pdf | | 385Kb | Adobe PDF | View/Open |
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