Abstract

In order to establish and optimize pallet pooling information system, it is the key issue to analyze and mine the related data on the existing pallet pooling system. Here, firstly, the crucial techniques of pallet pooling system and spatial data mining method based on GIS are presented. Then, the functional structure of the pallet pooling system is proposed. Finally by erecting an actual model of spatial data mining system, with the utilization of relevant mining algorithms, a case is studied to dig out the implicit knowledge of spatial database and visualize the output of the spatial data mining result. This system model can not only display the knowledge (the amount of each pallet service station pallet, current on-hand quantity), but can also be found hidden in the pallet pooling system information platform implicit knowledge (in which areas suitable for establishing pallet service station, and where the pallet to more intense). A conclusion is also given to provide auxiliary decision-making to managers.

Full Text
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