scholarly journals A genetic regulatory network based method for multi-objective sequencing problem in mixed-model assembly lines

2019 ◽  
Vol 16 (3) ◽  
pp. 1228-1243
Author(s):  
Youlong Lv ◽  
◽  
Jie Zhang
2013 ◽  
Vol 655-657 ◽  
pp. 1675-1681
Author(s):  
Shu Xu ◽  
Fu Ming Li

On the base of summarizing and contrasting the objectives of sequencing problem in mixed model assembly lines (MMAL) , and in consideration of the influence sequence-dependent setup times , a objective is proposed to minimize the total unfinished works and idle times over all jobs and stations . And the corresponding model is presented. To solve this model, a modified genetic algorithm is proposed to determine suitable sequences. Comparing with the Lingo 9 software, the proposed GA turns out to have a good ability to solve the sequencing problems.


Author(s):  
Mudassar Rauf ◽  
◽  
Mirza Jahanzaib ◽  
Muhammad Haris Aziz ◽  
◽  
...  

1999 ◽  
Vol 37 (1-2) ◽  
pp. 69-73 ◽  
Author(s):  
G. Celano ◽  
S. Fichera ◽  
V. Grasso ◽  
U. La Commare ◽  
G. Perrone

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