Planning the construction process of a robotic arm using a genetic algorithm

被引：0
作者：
P. T. Zacharia
S. A. Tsirkas
G. Kabouridis
G. I. Giannopoulos
机构：
[1] Technological Educational Institute of Western Greece,Department of Mechanical Engineering
来源：
The International Journal of Advanced Manufacturing Technology | 2015年 / 79卷
关键词：
Scheduling; Production; Process planning; Machine tools; Metal parts;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents an application of the simple assembly line balancing problem of type 2 (SALBP-2). A considerable number of robot components comprising a robotic arm are elaborated through four machine tools. Real data values for the processing times are gathered and precedence constraints are considered for finding the optimum cycle time needed for finishing the robotic arm. A genetic algorithm (GA) is used as the optimization tool for the solution of the SALBP-2, which is an NP-hard problem. The experimental results demonstrate the effectiveness and efficiency of the proposed GA in determining the optimum sequence of the tasks assigned to workstations and providing the optimum cycle time.
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页码：1293 / 1302
页数：9
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