摘要
物流采购管理部门经常进行供应商选择与采购量分配方面的工作。如果有一种工具能够帮助管理人员利用先前的采购经验对当前的采购行为做出决策,这将是非常有益的。文章在模糊的决策环境下,针对战术采购决策建立了一个基于案例推理方法和多目标数学规划的供应商选择与采购量分配集成模型,并给出相应的应用案例。
Selecting the vendor and allocating the purchase is one of the most important responsibilities of the purchasing department in a company. It is a benefit if there is a tool that can help the decision-maker make the decision according previous purchasing experiments. This paper focus on the operation level of decision about purchasing, proposes a model of vendor selection based on Case-Based Reasoning, and then gives an example.
出处
《物流科技》
2008年第8期133-138,共6页
Logistics Sci-Tech
基金
国家自然科学基金资助项目(70471063
70771010)
985工程二期资助项目(107008200400024)
北京理工大学研究生科技创新项目(GA200813
GB200818)
关键词
供应商选择
采购量分配
案例推理
模糊数
vendor selection problem
quantity allocation
case-based reasoning
fuzzy number
