Title :
Applying intelligent systems in industry: A realistic overview
Author_Institution :
Adv. Analytics Group, Dow Chem. Co., Freeport, TX, USA
Abstract :
The objective of this paper is to give a realistic overview of the current state of the art of intelligent systems in industry based on the experience from applying these systems in a large global corporation. It includes a short analysis of the differences between academic and industrial research, examples of the key implementation areas of intelligent systems in manufacturing and business, a discussion about the main factors for success and failure of industrial intelligent systems, an estimate of the projected industrial needs that may drive future applications of intelligent systems, and some ideas how to improve academic-industrial collaboration in this research area.
Keywords :
international collaboration; manufacturing industries; production engineering computing; academic research; academic-industrial collaboration improvement; business applications; global corporation; industrial intelligent systems; industrial research; manufacturing applications; Business; Computational modeling; Data models; Evolutionary computation; Intelligent systems; Manufacturing; Neural networks; academic-industrial collaboration; computational intelligence; industrial applications; intelligent systems;
Conference_Titel :
Intelligent Systems (IS), 2012 6th IEEE International Conference
Conference_Location :
Sofia
Print_ISBN :
978-1-4673-2276-8
DOI :
10.1109/IS.2012.6335108
