Study on the guarantee of emergency logistics comprehensive performance based on Neural Network
Emergency logistics involves dispatching commodities to affected areas as soon as possible so that relief operations are accelerated. To strengthen the comprehensive performance management, this article developes back-propagation neural network model to evaluate the comprehensive performance of emergency logistics using five critical variables of cost, inventory volume, accuracy of delivery, quick response, and superiority of facilities as inputs, and comprehensive service level as output with sigmoid junction. The neural network programming uses the mainstream Java language design, inserts to the HTML page and adopts browsers to run the procedure. Data dealed with normalized processing is from a certain military participating in emergency logistics. Through the simulation, it puts deep insights into the importance of different factors to guarantee the emergency logistics performace.
emergency logistics performance measurement neural network weak economics
Wang Shuyun Li Zhenjie
School of Economics & Management, Yantai University, Yantai,264005, China
国际会议
烟台
英文
217-221
2010-08-06（万方平台首次上网日期，不代表论文的发表时间）