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.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、约束条件等.文中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和随机约束的订单分配模型.利用数值算例证明了模型的可解性,并指出了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 multiobjective 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 multiobjective linear/nonlinear 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
《武汉理工大学学报（交通科学与工程版）》
2010年第3期472-475,共4页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家自然科学基金委员会创新群体项目资助(批准号:70221001)
关键词
多目标
模糊目标
订单分配
随机需求
fuzzy weight
fuzzy objective
order allocation
stochastic demand
