Analysis of knowledge management evaluation system in supply chain

How to effectively evaluate the knowledge management (KM) level of enterprises in supply chain, in order to promote their developments is becoming hot. With knowledge hierarchies (data, information and knowledge) and supply chain fields (transportation, inventory, facilities location) as two dimensions, this paper analyzes the characteristic's of KM in supply chain, and puts forward an evaluation system, which emphases the pertinence and practicability. In addition, an artificial neural network pruning algorithm MW-OBS is applied to analyze and judge the importance of evaluation indicators, The purpose of this study is to help enterprises in comprehensive understanding of their own KM level as well as the predominance and shortcomings.