Multi-objective optimization of material delivery for mixed model assembly lines with energy consideration

2018 ◽  
Vol 192 ◽  
pp. 293-305 ◽  
Author(s):  
Bing-Hai Zhou ◽  
Cheng-Yi Shen
2013 ◽  
Vol 321-324 ◽  
pp. 2110-2115
Author(s):  
Zhi Li ◽  
Zhao Liang Jiang

Multi-mixed model assembly lines (MMMALs) sequencing cooperative optimization is a typical problem that a variety of products models are assembled in multiple assembly lines. It extends the traditional products sequencing from MMAL to MMMALs. In this paper, we pose products assembly sequencing in multi-mixed model assembly lines (MMMALs) as a multiple-objective optimization problem with the objectives to minimize consumption waviness of each material in the lines, total setup cost and finished product inventory cost. The multi-objective optimization algorithm based on NSGAII is designed. Computational experiment has been demonstrated to the applicability of using NSGAII to solve the problem and effectiveness of the proposed approach. By means of this research, the valid solutions for products assembly sequence can be offered to the decision makers effectively.


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

2013 ◽  
Vol 717 ◽  
pp. 460-465 ◽  
Author(s):  
Zhi Li ◽  
Zhao Liang Jiang ◽  
Yu Mei Liu

Mixed-model assembly lines are widely used in many manufacturing firms to meet diversified demands of consumers without possessing large product inventories. In this paper, we posed order oriented assembly line sequencing as a multiple-objective optimization problem with the objectives to minimize material consumption waviness, the total setup cost, and finished product inventory cost. The multi-objective optimization algorithm based on non-dominated sorting particle swarm optimization (NSPSO) is designed. Computational experiment has been demonstrated to the applicability of using NSPSO to solve the problem and effectiveness of the proposed approach. By means of this research, the valid solutions for order oriented mixed-model assembly line sequence can be offered to the decision makers effectively.


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