Title :
Computational intelligence for advanced manufacturing system management: A review
Author :
Butler, L.J. ; Bright, Glen
Author_Institution :
Dept. of Mech. Eng., Univ. of KwaZulu-Natal, Durban, South Africa
Abstract :
The current economic climate spurred by growing customer demands are placing more and more pressure on manufacturing enterprises to improve efficiency and productivity even further than before. Opportunities exist for implementing novel optimisation techniques to improve the capabilities of modern advanced manufacturing systems. Computational Intelligence (CI) is not a new topic of research, however recent advances in available computing power and new paradigms in the field have given rise to this research. This paper investigates the extent of CI applications in manufacturing system management, and undertakes to identify the latest CI paradigms which are applicable to manufacturing system management optimisation. The paper also summarises these applicable CI paradigms in such a way as to form the basis for future work in simulation and experimentation.
Keywords :
economics; manufacturing systems; optimisation; productivity; CI; computational intelligence; customer demands; economic climate; efficiency improvement; manufacturing enterprises; manufacturing system management; optimisation; productivity improvement; Artificial intelligence; Computational intelligence; Job shop scheduling; Layout; Manufacturing systems; Optimization; Process planning;
Conference_Titel :
Mechatronics and Machine Vision in Practice (M2VIP), 2012 19th International Conference
Conference_Location :
Auckland
Print_ISBN :
978-1-4673-1643-9