A KDSS for green dyeing and printing management

Author

Yang, Yi ; Zheng, Tao ; Lin, Xin

Author_Institution

Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China

Volume

1

fYear

2010

fDate

25-27 June 2010

Abstract

A knowledge-based decision support system for measuring dyeing and printing enterprise green management is presented in this paper. Artificial neural networks and group assessment method are used for evaluation of enterprise performances. An environmental factor is added to the performance model for ANN operation. The design of program and subsystem is discussed too. Finally, the result of enterprise performance evaluation is presented and some discussion is given for making future work.

Keywords

decision support systems; dyeing; environmental factors; knowledge based systems; neural nets; printing industry; production engineering computing; KDSS; artificial neural networks; enterprise performance evaluation; environmental factor; green dyeing; group assessment method; knowledge-based decision support system; printing enterprise green management; printing management; Artificial neural networks; Board of Directors; Decision support systems; Environmental management; Knowledge management; Performance evaluation; Pollution measurement; Printing; Production; Textile technology; dyeing and printing process; enterprise imformation; environmenta evaluation; green management; knowledge-based decision support system;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Design and Applications (ICCDA), 2010 International Conference on

Conference_Location

Qinhuangdao

Print_ISBN

978-1-4244-7164-5

Electronic_ISBN

978-1-4244-7164-5

Type

conf

DOI

10.1109/ICCDA.2010.5541512

Filename

5541512