计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (35): 105-107.

• 产品、研发、测试 • 上一篇    下一篇

具有不确定次品率的EPQ模型及其求解算法

王小斌1,2,唐万生1   

  1. 1.天津大学 系统工程研究所,天津 300072
    2.山东财政学院 计算机信息工程学院,济南 250014
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-12-11 发布日期:2007-12-11
  • 通讯作者: 王小斌

Economic Production Quantity model with uncertain defective rate and its algorithm

WANG Xiao-bin1,2,TANG Wan-sheng1   

  1. 1.Institute of Systems Engineering,Tianjin University,Tianjin 300072,China
    2.School of Computer and Information Engineering,Shandong University of Finance,Ji’nan 250014,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-12-11 Published:2007-12-11
  • Contact: WANG Xiao-bin

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。

关键词: 经济生产批量, 模糊变量, 模糊模拟, 粒子群优化算法

Abstract: 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.

Key words: Economic Production Quantity(EPQ), fuzzy variable, fuzzy simulation, Particle Swarm Optimization(PSO)