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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Di Orio, G. Candido, G. Barata, J. Bittencourt, J.L. Bonefeld, R. |
| Copyright Year | 2013 |
| Description | Author affiliation: Bosch Rexroth AG, Lohr am Main, Germany (Bonefeld, R.) || Dept. de Eng. Electrotec., FCT Univ. Nova de Lisboa, Caparica, Portugal (Di Orio, G.; Candido, G.; Barata, J.) |
| 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. |
| Sponsorship | IEEE Syst., Man, Cybern. Soc. |
| Starting Page | 4878 |
| Ending Page | 4883 |
| File Size | 737856 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479906529 |
| DOI | 10.1109/SMC.2013.830 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-13 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Machine tools Context Energy consumption Data mining Power demand Productivity Service Oriented Architecture Machine Tool Energy Efficiency Data Mining Context Awareness |
| Content Type | Text |
| Resource Type | Article |
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