Title :
A novel decision support framework for industrial processes
Author :
Yu, Xinghuo ; Chiou, Andrew ; Dodd, Roland
Author_Institution :
Sch. of Electr. & Comput. Eng., R. Melbourne Inst. of Technol., Melbourne Vic., Australia
Abstract :
In this paper, a novel industrial decision support framework is discussed. This framework takes consideration of special features of industrial processes and makes use of intelligent and complex systems technologies to facilitate quality decision-making in industrial setting. The structure of the framework is described in details with some case studies used to illustrate its use.
Keywords :
decision making; decision support systems; industrial engineering; knowledge based systems; quality control; complex system; decision support framework; industrial process; intelligent system; quality decision-making; Automation; Chemical industry; Costs; Decision making; Decision support systems; Expert systems; Humans; Industrial relations; Intelligent systems; Sugar industry;
Conference_Titel :
Industrial Electronics Society, 2005. IECON 2005. 31st Annual Conference of IEEE
Print_ISBN :
0-7803-9252-3
DOI :
10.1109/IECON.2005.1569246
