摘要
物流配送中心的选址在整个物流系统规划中占有十分重要的地位,需要决策者综合考虑多种因素。但在传统的算法中,有些重要的定性因素被忽略。本文通过建立选址决策的模糊评价矩阵,利用BP人工神经网络来处理数据,可避免传统算法的不足,较客观地对多个选址方案的优劣进行评价,并引用实例说明该方法的实现过程。
Distribution centers' site selection, involving numerous elements,is crucial to logistics planning. Traditional algorithm neglects some important qualitative considerations. This paper proposes a new site selection method, using BP artificial neural network, where the data derived from a fuzzy appraisal matrix is processed. The new method can make the site selection in an objective manner and avoid the bias brought up by traditional algorithm. Practical examples are cited in the paper to illustrate the process.
出处
《中国软科学》
CSSCI
北大核心
2004年第6期140-143,共4页
China Soft Science
关键词
物流管理
选址
BP人工神经网络
配送中心
logistics management
site selection
BP artificial neural network
distribution center
