Management of Energy and Manufacturing System
This reprint focuses on recent advancements, technical challenges, and novel design methodologies for the energy manufacturing system, including energy management, green manufacturing, sustainable manufacturing, energy saving in manufacturing systems, the operation and maintenance of power generatio...
Format: | eBook |
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Language: | English |
Published: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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Subjects: | |
Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
LEADER | 04683namaa2201177uu 4500 | ||
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020 | |a books978-3-0365-7605-3 | ||
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041 | 0 | |a eng | |
042 | |a dc | ||
072 | 7 | |a TB |2 bicssc | |
072 | 7 | |a TBX |2 bicssc | |
720 | 1 | |a Xia, Tangbin |4 edt | |
720 | 1 | |a Gu, Xi |4 edt | |
720 | 1 | |a Gu, Xi |4 oth | |
720 | 1 | |a Li, Yupeng |4 edt | |
720 | 1 | |a Li, Yupeng |4 oth | |
720 | 1 | |a Pan, Ershun |4 edt | |
720 | 1 | |a Pan, Ershun |4 oth | |
720 | 1 | |a Wang, Rongxi |4 edt | |
720 | 1 | |a Wang, Rongxi |4 oth | |
720 | 1 | |a Xia, Tangbin |4 oth | |
245 | 0 | 0 | |a Management of Energy and Manufacturing System |
260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2023 | ||
300 | |a 1 online resource (236 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |f Unrestricted online access |2 star | |
520 | |a This reprint focuses on recent advancements, technical challenges, and novel design methodologies for the energy manufacturing system, including energy management, green manufacturing, sustainable manufacturing, energy saving in manufacturing systems, the operation and maintenance of power generation, prognostics and health management of power systems, and so on. With the increasing attention paid to sustainable development around the world, improving energy efficiency and applying effective means of energy saving have gradually received worldwide attention. As the largest energy consumers, manufacturing industries also inevitably face pressures on energy optimization evolution from both governments and competitors. The rational optimization of energy consumption in industrial operation activities can significantly improve the sustainability level of an entire company. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |u https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a History of engineering & technology |2 bicssc | |
650 | 7 | |a Technology: general issues |2 bicssc | |
653 | |a assembly quality | ||
653 | |a autocorrelation | ||
653 | |a automated storage and retrieval system | ||
653 | |a carbon emission | ||
653 | |a carbon emissions | ||
653 | |a causal model | ||
653 | |a composite node | ||
653 | |a data envelopment analysis | ||
653 | |a DEMATEL method | ||
653 | |a dendrites | ||
653 | |a effects and criticality analysis | ||
653 | |a energy efficiency | ||
653 | |a energy optimization | ||
653 | |a energy-carbon emissions nexus | ||
653 | |a failure mode | ||
653 | |a fault diagnosis technology | ||
653 | |a future transport-manufacturing industries | ||
653 | |a GA-MBO | ||
653 | |a genetic algorithm | ||
653 | |a hidden Markov model (HMM) | ||
653 | |a high-order hidden semi-Markov model | ||
653 | |a hybrid flowshop | ||
653 | |a improved convolutional neural network | ||
653 | |a low-carbon product | ||
653 | |a manufacturing system | ||
653 | |a manufacturing systems | ||
653 | |a migratory birds optimization algorithm | ||
653 | |a model reduction | ||
653 | |a multi-level structure | ||
653 | |a multi-objective gray wolf optimizer (MOGWO) | ||
653 | |a multiobjective optimization | ||
653 | |a neural network | ||
653 | |a non-production energy consumption (NPEC) | ||
653 | |a operation and maintenance | ||
653 | |a operational efficiency | ||
653 | |a opportunistic maintenance | ||
653 | |a polynomial fitting | ||
653 | |a preventive maintenance | ||
653 | |a quality cost | ||
653 | |a random correlation | ||
653 | |a residual chart | ||
653 | |a residual life prognosis | ||
653 | |a rough number | ||
653 | |a RV reducer | ||
653 | |a ship electrical power system | ||
653 | |a Simulink | ||
653 | |a state duration | ||
653 | |a structural correlation | ||
653 | |a sub-batch priority | ||
653 | |a sustainable | ||
653 | |a synchronous generator | ||
653 | |a transmission accuracy | ||
653 | |a urban rail transit | ||
653 | |a VIKOR method | ||
653 | |a wind turbines | ||
653 | |a Z-number | ||
793 | 0 | |a DOAB Library. | |
856 | 4 | 0 | |u https://directory.doabooks.org/handle/20.500.12854/112530 |7 0 |z Open Access: DOAB: description of the publication |
856 | 4 | 0 | |u https://mdpi.com/books/pdfview/book/7656 |7 0 |z Open Access: DOAB, download the publication |