DocumentCode
3051410
Title
Energy Efficiency in Machine Tools - A Self-Learning Approach
Author
di Orio, Giovanni ; Candido, G. ; Barata, Jose ; Bittencourt, Jose Luiz ; Bonefeld, Ralf
Author_Institution
Dept. de Eng. Electrotec., FCT Univ. Nova de Lisboa, Caparica, Portugal
fYear
2013
fDate
13-16 Oct. 2013
Firstpage
4878
Lastpage
4883
Abstract
Due to the growing demand to reduce the environmental impact, the manufacturing companies of today are encouraged to adopt new green methodologies, strategies and technologies for increasing the energy efficiency of their manufacturing production lines. These solutions have a great impact on several productivity metrics including availability and costs. The continuous pursuit of productivity and particularly of machine availability has led to an increase of the total energy consumption in production plants. However, productivity gains can also be achieved by reducing the life-cycle costs of the manufacturing production systems. The research currently done under the scope of Self-Learning Production Systems (SLPS) tries to fill the gap between availability and efficiency by providing an innovative and integrated approach for ensuring the efficient utilization of the resources in machine tools.
Keywords
cost reduction; energy conservation; energy consumption; environmental factors; industrial economics; life cycle costing; machine tools; manufacturing industries; manufacturing systems; production engineering computing; productivity; strategic planning; unsupervised learning; energy consumption; energy efficiency; environmental impact reduction; green methodologies; green strategies; lifecycle cost reduction; machine availability; machine tools; manufacturing companies; manufacturing production lines; manufacturing production systems; production plants; productivity metrics; self learning production systems; Context; Data mining; Energy consumption; Machine tools; Power demand; Productivity; Context Awareness; Data Mining; Energy Efficiency; Machine Tool; Service Oriented Architecture;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location
Manchester
Type
conf
DOI
10.1109/SMC.2013.830
Filename
6722585
Link To Document