摘要
研究了随机提前期情况下物料计划提前期的确定问题。以提前/拖期成本最小为目标,通过构造遗传算法的适应值函数寻求一组最优的计划提前期,用参数设置模拟应用中的实际情况,使物料的提前/拖期成本最小。最后通过算例证明了算法的有效性。
The determination of material lead times under random lead times was studied. The problem is to minimize earliness/tardiness costs, by use of fitness function in genetic algorithm to find a group of optimal planned lead times, simulate applications by parameters setting to make earliness/tardiness the least. At last, the instance proves the validity of the arithmetic.
出处
《科技信息》
2011年第5期156-157,共2页
Science & Technology Information
关键词
提前期
遗传算法
提前/拖期成本
Lead times
Genetic algorithm
Earliness/Tardiness costs
