The Performance Evaluation Research of Cold Chain Logistics Enterprises Based on BPNN Technology

Shuqiang Liu, Dawei Zhao, Rui Zhang
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Abstract

Demand for cold chain logistics enterprises is growing to accommodate the growth of China’s economy and the enhancement of Chinese people’s living standard. However, the country’s cold chain logistics industry remains backward, thus making it a major task that how to raise the enterprise performance. Firstly, the study has chosen 5 primary indicators and 19 secondary indicators pertaining to cold chain logistics enterprises to set up its performance evaluation framework. Secondly, based on the merits and demerits of the BPNN model structure and it's calculation method, the study identifies the network layers, stimulant functions, and study perimeters of the BPNN model, and constructs the BPNN model for the performance evaluation of cold chain logistics enterprises. Finally, the study uses MATLAB7.0 software to calculate the BPNN model, and utilizes sim functions to simulate and analyze the feasibility of the BPNN method for cold chain logistics enterprise performance evaluation. The study firstly introduces BPNN technology into the performance indicators evaluation of cold chain logistics enterprises.
基于BPNN技术的冷链物流企业绩效评价研究
随着中国经济的发展和人民生活水平的提高,对冷链物流企业的需求也在不断增长。然而,我国冷链物流业仍然落后,如何提高企业绩效是一个重大的任务。首先,选取冷链物流企业的5个一级指标和19个二级指标,构建冷链物流企业绩效评价框架。其次,根据BPNN模型结构的优缺点及其计算方法,识别BPNN模型的网络层、激励函数,研究BPNN模型的周长,构建冷链物流企业绩效评价的BPNN模型。最后,利用MATLAB7.0软件计算BPNN模型,并利用sim功能进行仿真,分析BPNN方法用于冷链物流企业绩效评价的可行性。本研究首次将BPNN技术引入冷链物流企业绩效指标评价中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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