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                                       Details for article 15 of 18 found articles
 
 
  Part-machine grouping using a multi-objective cluster analysis
 
 
Title: Part-machine grouping using a multi-objective cluster analysis
Author: Akturk, M. S.
Balkose, H. O.
Appeared in: International journal of production research
Paging: Volume 34 (1996) nr. 8 pages 2299-2315
Year: 1996-08-01
Contents: In the existing literature, the part-family formation problem is handled either by the coding systems or the cluster analysis. In this study, we propose a new method that will consider both design and manufacturing attributes and operation sequences simultaneously, in conjunction with the related performance measures such as the machine investment, the amount of workload deviations within and between the cells, and the number of skippings. Finally, the proposed method is compared with the similarity coefficient method under different experimental settings and its robustness is checked against the varying system parameters.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 15 of 18 found articles
 
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