학술논문

The Performance Evaluation Research of Cold Chain Logistics Enterprises Based on BPNN Technology
Document Type
Conference
Source
2018 International Conference on Management Science and Engineering (ICMSE) Management Science and Engineering (ICMSE), 2018 International Conference on. :177-186 Aug, 2018
Subject
Engineering Profession
Back-Propagation neural network
Cold chain logistics
Performance evaluation
Performance indicators
Simulation
Language
ISSN
2155-1855
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.