Multi-Objective Optimization of Multi-Mixed-Model Assembly Lines Sequencing Problem

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.

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.


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

2011 ◽  
Vol 110-116 ◽  
pp. 4085-4090
Author(s):  
Farzad Radmehr ◽  
Neda Manavizadeh ◽  
Hamed Rafiei ◽  
Masoud Rabbani

Mixed model production is the practice of assembling different and distinct models in a line without changeovers with responding to sudden demand changes for a variety of models. In this paper, we specify sequence of models to minimize the conveyer stoppages. We assume our lines are fixed and we can not change the balance of the lines. When the condition of lines like setup cost, demand of each models change, it is important to specify the sequence for minimizing the conveyer stoppages without balancing the line again, because the main lines are fixed. We consider three objective functions, simultaneously: minimizing the variation in actual and required production capacity of the line, minimizing the objectives which increase the chance of conveyer stoppage including: a) minimizing the total setup time, b) minimizing the total production variation cost, and minimizing the total utility work cost. We use a new fuzzy programming for this problem; it can present us an estimator for nearness of conveyer stoppages. We study about sub lines and conveyer velocity and its affect on stoppages.


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

OR Spectrum ◽  
2007 ◽  
Vol 30 (3) ◽  
pp. 611-633 ◽  
Author(s):  
Nils Boysen ◽  
Malte Fliedner ◽  
Armin Scholl

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