Optimization of a Factory Line Using Multi-Objective Evolutionary Algorithms.

Lecture Notes in Logistics(2016)

引用 1|浏览11
暂无评分
摘要
In this paper, we describe a simulation for an automotive manufacturing process using automated guided vehicles (AGVs). The simulation is used to optimize a generalized factory model layout using multi-objective evolutionary algorithms. The Pareto front of the optimization is analyzed, and layouts are compared to the industry standard transfer line in terms of objectives that include capital cost, energy usage, and product throughput. We seek to determine from the results whether genetic algorithms are a feasible tool for the optimization of manufacturing automobiles.
更多
查看译文
关键词
Optimization,Factory layout,Genetic algorithms
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要