摘要
针对企业实际采购过程中的多阶段性和需求不确定性的特点,建立了一个随机需求下的供应商选择和采购量分配的模糊多目标规划模型。通过对数值算例的分析表明,目标约束法较好地解决了企业采购过程中的多目标问题,并且此方法可以根据采购商采购目标的变化对不同阶段、不同供应商的采购量进行合理调整,从而优化了企业的采购活动。
Based on the multi-stages and demand uncertainty of enterprise purchase, a multi-objective mixed-integer stochastic programming model was derived. Numerical simulation results show that the goal -constraint method could solve the multi-objective mixed-integer stochastic problem well, and the method could adjust the order quantity from different suppliers in different stages when the purchase goal changes, so as to optimize the enterprise＇s purchasing.
出处
《青岛大学学报（自然科学版）》
CAS
2007年第4期87-91,共5页
Journal of Qingdao University(Natural Science Edition)
关键词
随机需求
供应商
多阶段
模糊算法
优化模型
stochastic demand
vender selection
multi-periods
fuzzy algorithm
optimize model
