And from the application point of view, we classify the local database based on the models which can be used to provide the basis for decision-making in logistics and distribution for enterprises.
并从应用的角度，提出基于各局部数据库挖出的局部模式对局部数据库进行分类，为企业的物流配送提供决策依据。
Analyzing the above three different models of logistics, we give some opinions on the distribution models for enterprises: How to save logistic costs and therefore, make more profits.
通过对这三种模式的分析。从中得到启示指导企业的配送模式，为企业的配送节省支出，使企业能够获得更多的利润。
This paper sets about optimizing distribution systems of the third-party logistics enterprises through the establishment of mathematical models.
本文通过建立数学模型，对第三方物流企业配送系统进行优化。
Under random-storage return-type and S-type picking condition, picking route stochastic models were built for logistics distribution center.
在物品随机存储情况下，分别构建返回型与S型拣选方式下拣选距离的随机模型。
Under random-storage return-type and S-type picking condition, picking route stochastic models were built for logistics distribution center.
在物品随机存储情况下，分别构建返回型与S型拣选方式下拣选距离的随机模型。
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