摘要
随着竞争的日益加剧,采购成了影响企业生存和发展的关键因素。在这种情况下,正确的订单分配是成功实行采购的关键。实际上,影响订单分配的许多信息并不是确定的已知条件,例如目标、约束条件和影响权重等。本文通过考虑上述信息的不确定性和模糊性,构建一个包含模糊目标、模糊权重和随机约束的订单分配模型。然后,利用数值算例证明了模型的可解性。最后,指出了未来可能的几个研究方向。
Within a supply chain,purchasing plays a key role in achieving competitiveness.Hence,the right order allocation is a vital component of the strategies.In practice,supplier selection is a multi-objective programming problem with vagueness and imprecision of the input data.In spite of the importance of the problem,the literature on this subject is relatively scarce.In this paper,a fuzzy multi-objective linear model is developed to overcome the vagueness of the information.At the same time,fuzzy weight and stochastic demand are applied to enable the decision-makers to select the right supplier.The model is illustrated by a numerical example.
出处
《中国管理科学》
CSSCI
北大核心
2009年第2期80-85,共6页
Chinese Journal of Management Science
基金
国家自然科学基金委员会创新群体项目:70221001)
关键词
模糊权重
模糊目标
订单分配
随机需求
fuzzy Weight
fuzzy objective
order allocation
stochastic demand
