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...
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| Format: | Online |
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| Language: | English |
| Published: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Online Access: | ONIX_20230808_9783036576046_36 |
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| _version_ | 1869524266274258944 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-112530 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1125302024-04-09T23:16:11Z Management of Energy and Manufacturing System Xia, Tangbin Pan, Ershun Wang, Rongxi Li, Yupeng Gu, Xi multi-level structure non-production energy consumption (NPEC) sub-batch priority multi-objective gray wolf optimizer (MOGWO) high-order hidden semi-Markov model composite node model reduction state duration polynomial fitting residual life prognosis wind turbines opportunistic maintenance structural correlation random correlation carbon emissions fault diagnosis technology improved convolutional neural network ship electrical power system Simulink synchronous generator hidden Markov model (HMM) autocorrelation residual chart failure mode effects and criticality analysis Z-number rough number DEMATEL method VIKOR method energy–carbon emissions nexus causal model low-carbon product future transport-manufacturing industries RV reducer assembly quality dendrites neural network transmission accuracy sustainable energy optimization operation and maintenance manufacturing systems automated storage and retrieval system hybrid flowshop genetic algorithm migratory birds optimization algorithm GA-MBO urban rail transit operational efficiency energy efficiency carbon emission data envelopment analysis preventive maintenance quality cost multiobjective optimization manufacturing system thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 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. 2023-08-08T15:25:26Z 2023-08-08T15:25:26Z 2023 book ONIX_20230808_9783036576046_36 9783036576046 9783036576053 https://directory.doabooks.org/handle/20.500.12854/112530 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7656 https://mdpi.com/books/pdfview/book/7656 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7605-3 10.3390/books978-3-0365-7605-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036576046 9783036576053 236 Basel open access |
| spellingShingle | multi-level structure non-production energy consumption (NPEC) sub-batch priority multi-objective gray wolf optimizer (MOGWO) high-order hidden semi-Markov model composite node model reduction state duration polynomial fitting residual life prognosis wind turbines opportunistic maintenance structural correlation random correlation carbon emissions fault diagnosis technology improved convolutional neural network ship electrical power system Simulink synchronous generator hidden Markov model (HMM) autocorrelation residual chart failure mode effects and criticality analysis Z-number rough number DEMATEL method VIKOR method energy–carbon emissions nexus causal model low-carbon product future transport-manufacturing industries RV reducer assembly quality dendrites neural network transmission accuracy sustainable energy optimization operation and maintenance manufacturing systems automated storage and retrieval system hybrid flowshop genetic algorithm migratory birds optimization algorithm GA-MBO urban rail transit operational efficiency energy efficiency carbon emission data envelopment analysis preventive maintenance quality cost multiobjective optimization manufacturing system thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Management of Energy and Manufacturing System |
| title | Management of Energy and Manufacturing System |
| title_full | Management of Energy and Manufacturing System |
| title_fullStr | Management of Energy and Manufacturing System |
| title_full_unstemmed | Management of Energy and Manufacturing System |
| title_short | Management of Energy and Manufacturing System |
| title_sort | management of energy and manufacturing system |
| topic | multi-level structure non-production energy consumption (NPEC) sub-batch priority multi-objective gray wolf optimizer (MOGWO) high-order hidden semi-Markov model composite node model reduction state duration polynomial fitting residual life prognosis wind turbines opportunistic maintenance structural correlation random correlation carbon emissions fault diagnosis technology improved convolutional neural network ship electrical power system Simulink synchronous generator hidden Markov model (HMM) autocorrelation residual chart failure mode effects and criticality analysis Z-number rough number DEMATEL method VIKOR method energy–carbon emissions nexus causal model low-carbon product future transport-manufacturing industries RV reducer assembly quality dendrites neural network transmission accuracy sustainable energy optimization operation and maintenance manufacturing systems automated storage and retrieval system hybrid flowshop genetic algorithm migratory birds optimization algorithm GA-MBO urban rail transit operational efficiency energy efficiency carbon emission data envelopment analysis preventive maintenance quality cost multiobjective optimization manufacturing system thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | multi-level structure non-production energy consumption (NPEC) sub-batch priority multi-objective gray wolf optimizer (MOGWO) high-order hidden semi-Markov model composite node model reduction state duration polynomial fitting residual life prognosis wind turbines opportunistic maintenance structural correlation random correlation carbon emissions fault diagnosis technology improved convolutional neural network ship electrical power system Simulink synchronous generator hidden Markov model (HMM) autocorrelation residual chart failure mode effects and criticality analysis Z-number rough number DEMATEL method VIKOR method energy–carbon emissions nexus causal model low-carbon product future transport-manufacturing industries RV reducer assembly quality dendrites neural network transmission accuracy sustainable energy optimization operation and maintenance manufacturing systems automated storage and retrieval system hybrid flowshop genetic algorithm migratory birds optimization algorithm GA-MBO urban rail transit operational efficiency energy efficiency carbon emission data envelopment analysis preventive maintenance quality cost multiobjective optimization manufacturing system thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20230808_9783036576046_36 |