Paper Title:
Sequencing Mixed Model Assembly Lines Based on Genetic Algorithm Optimization
  Abstract

Firstly, genetic algorithm optimization method was put forward to solve optimization problems of sequencing in actual mixed model passenger car factory assembly line. Then genetic algorithm optimization methods and procedures of mixed model total assembly line production sequencing were studied. Finally, according to the characteristics of the mixed production line, the least total waiting time of vehicle was set to complete assembly as a sequencing optimization objective, the AutoMod simulation software was used to balance the allocation of resources and optimize the sequence by way of genetic algorithm, and the optimal sequencing solution was obtained. After optimization and balance, the total waiting time of mixed model vehicles in complete assembly line was reduced by 69.5%, which improves production efficiency greatly. This also proves the effectiveness of genetic algorithm optimization.

  Info
Periodical
Chapter
III. Related Enlightening Topics
Edited by
Fei Hu and Beibei Wang
Pages
412-417
DOI
10.4028/www.scientific.net/AMR.279.412
Citation
Y. D. Huang, R. H. Bian, Z. Xu, "Sequencing Mixed Model Assembly Lines Based on Genetic Algorithm Optimization", Advanced Materials Research, Vol. 279, pp. 412-417, 2011
Online since
July 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Xiao Hua Wang, Yong Mei Zhang
Abstract:On the premise of ensuring safety and reliability in electricity market environment, the goal of State Grid Corporation is that purchase AGC...
274
Authors: Guang Nian Yang, Wei Qi, Jun Zhou
Abstract:Now, our sewage treatment industry mainly depends on the blower of aeration act as metabolic, absorbed in the toxic substances. Blower...
591
Authors: Na Rui Bu, Run Shan Bai, Zhang Zhen Li, De Zhong Lin
Chapter 6: Vibration, Noise Analysis and Control
Abstract:Analysis of slope stability based on BP neural network, the analytical model of slope stability is built. Aiming at the defects that BP...
1263
Authors: Si Lian Xie, Tie Bin Wu, Shui Ping Wu, Yun Lian Liu
Chapter 18: Computer Applications in Industry and Engineering
Abstract:Evolutionary algorithms are amongst the best known methods of solving difficult constrained optimization problems, for which traditional...
2846
Authors: Fang Li, Yu Wang, Ying Chun Zhong, Zhi Tan
Chapter 16: Application of Information and Network Technology
Abstract:An optimization of multi-varieties and small-batch of production scheduling is proposed, which is embodied the utilization ratio of...
3177