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Combined with the characteristics of enterprise logistics system, the evaluation index system of enterprise supply logistics system was established using systematic evaluation method. The BP neural network for appraising the performance of enterprise supply logistics system was built. Through the training and simulation of neural network, it is indicated that this evaluation method proves feasible...
In order to select appropriate logistics suppliers, and by using of advantages of BP neural networks with self-organizing, self-learning, anti-interference, etc. a logistics supplier selection model was constructed, and an integrated logistics suppliers' capacity (performance) evaluation BP neural network was established, also, BP algorithm was designed. Then an example with twenty-three listed logistics...
Aim at need of project logistics in practice, a parameter evaluating system about leaguer of virtual enterprise is presented, and then the BP neural network model of qualification layer and target layer of this system are build and modularized. Based this, a double layer and intelligent estimating model is built. The Modularized, double layer structure of this model is propitious to update and develop...
As fresh farm produce occupies a pivotal position in the daily lives, the fresh farm produce logistics (FFPL) accompanied by it has become a rising industry in the logistics industry. Evaluating the performance of the fresh farm produce logistics and finding the existed problems can improve the fresh farm produce logistics management. To evaluate the FFPL performance, this paper overcomes the shortcoming...
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