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• W2572184471 abstract "Global warming, outside pressures to the application of sustainable practices and rising energy prices are factors increasingly present in today's society. In addition, the cost of energy becomes increasingly significant, being an important vector to be considered in business competitiveness. Thus, this work includes the energy efficiency variables within the context of manufacturing systems analysis. The methodology includes the development of a simulation model over a digital manufacturing system, an emerging technology that seeks to improve the industrial plants' development processes by introducing new integrated software suites. The evaluated scenarios involve the collection and analysis of energy and manufacturing data of an automotive engine production line, where different simulation strategies were implemented aiming the overall electricity consumption reduction. The results show that the simulation of control actions through digital manufacturing systems allows not only getting a current situation diagnosis of the facilities, but also enables a more efficient use of available resources by identifying opportunities to increase energy efficiency indicators, even in well designed production systems." @default.
• W2572184471 created "2017-01-26" @default.
• W2572184471 creator A5019469127 @default.
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• W2572184471 date "2016-09-01" @default.
• W2572184471 modified "2023-09-22" @default.
• W2572184471 title "Digital manufacturing tools applied to energy analysis and decision in manufacturing systems" @default.
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• W2572184471 doi "https://doi.org/10.1109/picmet.2016.7806761" @default.
• W2572184471 hasPublicationYear "2016" @default.
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