A novel hybrid algorithm for manufacturing cell formation problem

2019 ◽  
Vol 135 ◽  
pp. 327-350 ◽  
Author(s):  
Milos Danilovic ◽  
Oliver Ilic
2013 ◽  
Vol 19 (1) ◽  
pp. 77-96 ◽  
Author(s):  
J. A. Díaz ◽  
D. E. Luna ◽  
C. A. Zetina

Author(s):  
R. Sudhakra Pandian ◽  
Pavol Semanco ◽  
Peter Knuth

The cell formation problem has met with a significant amount of attention in recent years by demonstrating great potential for productivity improvements in production environment. Therefore, the researchers have been developing various methods based on similarity coefficient (SC), graph theory approaches, neural networks (NN), and others with aim to automate the whole cell formation process. This chapter focuses on presentation of hybrid algorithm (HA) and genetic algorithm that are helpful in production flow analysis to solve the cell formation problem. The evaluation of hybrid and genetic algorithms are carried out against the K-means algorithm and C-linkage algorithm that are well known from the literature. The comparison uses performance measure and the total number of exceptional elements (EEs) in the block-diagonal structure of machine-part incidence matrix using operational time as an input. The final performance results are presented in the form of graphs.


Top ◽  
2010 ◽  
Vol 20 (3) ◽  
pp. 679-706 ◽  
Author(s):  
Juan A. Díaz ◽  
Dolores Luna ◽  
Ricardo Luna

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