摘要
利用不确定规划,根据决策者的要求,对供应链网络设计问题进行建模.并采用由随机模拟、模糊模拟以及遗传算法相结合的混合智能算法来求解,最后给出了生活中的实际例子来说明模型和算法的正确性和高效性.
This paper designs supply chain network in uncertain environment, in which the demands of customers are assumed to be random variables, and the operation costs are considered as fuzzy numbers. We formulate model by fuzzy programming and develop a genetic algorithm based on stochastic and fuzzy simulation to solve the proposed model. Moreover, some numerical examples are presented to illustrate the effectiveness of model and solution algorithm.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2007年第2期118-122,共5页
Systems Engineering-Theory & Practice
基金
中国人民大学科学研究基金
关键词
不确定规划
供应链网络
模糊模拟
随机模拟
遗传算法
uncertain programming
supply chain network
stochastic simulation
fuzzy simulation
genetic algorithm
