机构地区: 四川大学工商管理学院
出 处: 《系统工程与电子技术》 2010年第1期82-85,99,共5页
摘 要: 针对随机和模糊混合不确定环境下的易逝性电子产品库存优化问题,提出了随机模糊多目标库存决策模型和相应的妥协遗传算法。利用期望值和机会约束等价变换,获得不同置信水平下的最佳订货量。通过实例计算求解发现,概率水平的变化比可能性水平的变动对目标函数值的影响要大,可以通过调整不同的置信水平获得最佳订货量。 To study the problem of the inventory decision making model of perishable electron products in hybrid environment of randomness and fuzziness, a random fuzzy multi-objective inventory decision making model and a corresponding compromised genetic algorithm are proposed. Using the expected value and chance constraint programming technique, the best solution of the model can be obtained. By solving for a numerical example, it is found that the probability level is a factor that contributes the most to objectives, the best amount of order can be attained by changing the probability level and possibility level.