摘要
在考虑商品回款时间延迟的基础上,结合快速消费品(FMCG)企业物流配送网络的特点,建立了混合0-1整数规划的配送中心选择优化模型。该模型是一种特殊形式的选择—分配模型,具有NP难性质。为求解上述模型,提出一种基于SVM(支持向量机)的在线算法。实例研究表明,该算法能高效求得模型的优化解,是求解配送中心选择这类复杂优化问题的一个较好方法。
Based on the commodity feedback residual expenses delay and the distribution system characteristics of Fast Moving consumer Goods （FMCG）, a mixed 0-1 integer programming model is built for optimizing the location of distribution center. The model is in fact a special type of classic location-allocation models and has NP-hard complexity. To solve the above model, the on-line calculation method based on SVM （Support Vector Machine） is proposed. According to the example research, such a calculation method can get optimizing result for the model and it is the better method to solve such complicated problems for the distribution centers.
出处
《物流科技》
2008年第11期60-63,共4页
Logistics Sci-Tech
