Research on Comprehensive Assessment Model for Eco-friendly Manufacturing Enterprises Based on AHP and ANN
Being significant entities which influenced resource and environment, eco-friendly manufacturing enterprises should be an important part of the society. Effectual assessment system is useful to guide enterprises toward sustainable development. The comprehensive assessment system for eco-friendly manufacturing enterprises is a complicated system. The factors that influence the the degree of eco-friendliness are complicated, it is hard to describe the relation by single model due to nonlinear relationship between them. This paper innovatively proposes a comprehensive assessment model for eco-friendly manufacturing enterprises, which breaks through the limitation of conventional assessment methods. Firstly, on the basis of calculating the weight of each index by AHP, the paper calculates the eco-friendly degree comprehensive index of eco-friendly manufacturing enterprises to provide the samples for Artificial Neural Network learning. Then, it trains and tests the sample data with Neural Network technology in order to assess comprehensive eco-friendly degree of manufacturing enterprises. The effectiveness of the methodology is verified with an empirical study by using the data of listed eco-friendly manufacturing enterprises.
Eco-Friendly Manufacturing Enterprises Comprehensive Assessment Method Analytic Hierarchy Process (AHP) Artificial Neural Network (ANN)
Zhang Yinghua Sang Jinyan Zhang Jilin
School of Business, Tianjin University of Finance and Economics, P.R.China, 300222 School of Business, Tianjin University of Finance and Economics, P.R.China, 300222;School of Managem
国际会议
郑州
英文
2008-09-20（万方平台首次上网日期，不代表论文的发表时间）