摘要
假设在具有衰变特性的生产过程中次品率为随机变量或模糊变量的情形下,分别建立了经济生产批量模型;给出了次品率为随机变量情形下最优经济生产批量的解析表达式;设计了模糊模拟算法以及基于模糊模拟的粒子群优化算法对次品率为模糊变量情形下的经济生产批量模型进行求解。最后给出了两种情形下的数值实例来说明模型的求解过程以及所设计算法的有效性。
In deteriorating production processes,with the assumption that the defective rate of the produced items is a random variable or a fuzzy variable,Economic Production Quantity (EPQ) models are constructed,respectively.In the case of that the defective rate is a random variable,the analytic expression of the solution is presented.For the case that the defective rate is a fuzzy variable,the fuzzy simulation algorithm and Particle Swarm Optimization (PSO) algorithm based on the fuzzy simulation are designed to solve the model.Finally,numerical examples are presented in these two cases to illustrate the solving procedures and the validity of the designed algorithms.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第35期105-107,共3页
Computer Engineering and Applications
基金
国家自然科学基金( the National Natural Science Foundation of China under Grant No.70471049) 。
关键词
经济生产批量
模糊变量
模糊模拟
粒子群优化算法
Economic Production Quantity (EPQ)
fuzzy variable
fuzzy simulation
Particle Swarm Optimization(PSO)