DocumentCode :
1820058
Title :
Green manufacturing using integrated decision tools
Author :
Chan, Clifford C S ; Yu, K.M. ; Yung, K.L.
Author_Institution :
Fac. of Built Environ. & Eng., Queensland Univ. of Technol., Brisbane, QLD, Australia
fYear :
2010
fDate :
7-10 Dec. 2010
Firstpage :
2287
Lastpage :
2291
Abstract :
Manufacturers are now facing common problems of environmental impact from the local society, green regulation, green product and factory operation in developing countries like China. Water, noise and air pollutants are significantly environmental issues from arise not intense environmentally consciously manufacturing. This paper presents to use integrated decision tools to assist stakeholder to determine how to become green manufacturing. This research highlights the need for a more effective decision support tools that will collect data, analyze and provide solution to stakeholder. Overall, a variety of decision support system, expert system, and design for environment (DfE) methods are available; however they limited in their applications to solve green manufacturing problems. With the availability of faster and more user-friendly computers and sophistical software, it has been possible to use simulation modeling to investigate the parameter effectively. Furthermore, this research will also be developed a measure of model to provide a unique framework for investigating the green manufacturing by integrated decision tools.
Keywords :
air pollution; decision support systems; design for environment; environmental factors; production engineering computing; production management; China; air pollutants; decision support system; design for environment; environmental issues; green manufacturing; green regulation; integrated decision tools; Green products; Manufacturing; Materials; Production facilities; Spraying; Water pollution; ISO14040; TRIZ; green manufacturing; integrated decision tools; life cycle assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
Conference_Location :
Macao
ISSN :
2157-3611
Print_ISBN :
978-1-4244-8501-7
Electronic_ISBN :
2157-3611
Type :
conf
DOI :
10.1109/IEEM.2010.5674169
Filename :
5674169
Link To Document :
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