MIXED-MODEL ASSEMBLY LINE BALANCING CONCERNING CHOICE COMPLEXITY

被引：0
|
作者：
Wang, Kunpeng [1 ]
Rao, Yunqing [1 ]
Zhou, Wei [1 ]
机构：
[1] Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Hubei, Peoples R China
来源：
2011 INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND TECHNOLOGY (ICMET 2011) | 2011年
关键词：
Mixed-model assembly line; Balancing; Choice complexity; Genetic algorithm;
D O I：
暂无
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Most researchers committed themselves to maximizing the line efficiency so as to balance the mixed-model assembly line in the past few decades. However, the efficiency of the line can also be subject to the overall choice complexity of the tasks assigned to one of the stations. Few researchers made an attempt to balance the line concerning choice complexity. In the paper, the complexity of the tasks is measured with choice complexity which is quantified by information entropy. Furthermore, a genetic algorithm for balancing the line concerning choice complexity is represented with the aim of minimizing the cycle complexity. Several numerical examples illustrate the algorithm and the results show that the genetic algorithm successfully solves the balancing problem concerning choice complexity.
引用
收藏
页码：417 / 420
页数：4
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