Energy Efficiency of Manufacturing Processes and Systems
This Special Issue addresses the important issue of the energy efficiency of both manufacturing processes and systems. Manufacturing is responsible for one-third of global energy consumption and CO2 emissions. Thus, improving the energy efficiency of production has been the focus of research in rece...
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Format: | Electronic Book Chapter |
Language: | English |
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Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2020
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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245 | 1 | 0 | |a Energy Efficiency of Manufacturing Processes and Systems |
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520 | |a This Special Issue addresses the important issue of the energy efficiency of both manufacturing processes and systems. Manufacturing is responsible for one-third of global energy consumption and CO2 emissions. Thus, improving the energy efficiency of production has been the focus of research in recent years. Energy efficiency has begun to be considered as one of the key decision-making attributes for manufacturing. This book includes recent studies on methods for the measurement of energy efficiency, tools and techniques for the analysis and development of improvements with regards to energy consumption, modeling and simulation of energy efficiency, and the integration of green and lean manufacturing. This book presents a breadth of relevant information, material, and knowledge to support research, policy-making, practices, and experience transferability to address the issues of energy efficiency. | ||
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650 | 7 | |a History of engineering & technology |2 bicssc | |
653 | |a energy consumption | ||
653 | |a scheduling approach | ||
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653 | |a multi-objective optimisation | ||
653 | |a tardiness fine | ||
653 | |a energy efficiency | ||
653 | |a sustainable machining | ||
653 | |a multi-objective optimization | ||
653 | |a multi-criteria decision making method | ||
653 | |a small quantity cooling lubrication SQCL | ||
653 | |a cu nanofluid | ||
653 | |a remote laser welding | ||
653 | |a energy-efficient process | ||
653 | |a machine learning | ||
653 | |a welding process | ||
653 | |a neural network | ||
653 | |a knowledge representation | ||
653 | |a fuzzy reasoning Petri net | ||
653 | |a energy efficient operation | ||
653 | |a manufacturing system | ||
653 | |a Manufacturing | ||
653 | |a life-cycle assessment | ||
653 | |a aluminum | ||
653 | |a cast iron | ||
653 | |a pulp | ||
653 | |a paper | ||
653 | |a structural change | ||
653 | |a compressed air systems | ||
653 | |a energy data analysis | ||
653 | |a energy measures | ||
653 | |a performance control | ||
653 | |a operations | ||
653 | |a maintenance | ||
653 | |a energy accounting | ||
653 | |a laser drilling | ||
653 | |a percussion | ||
653 | |a trepanning | ||
653 | |a productivity | ||
653 | |a cost | ||
653 | |a material removal rate (MRR) | ||
653 | |a specific energy consumption (SEC) | ||
653 | |a Taguchi | ||
653 | |a hole taper | ||
653 | |a IN 718 | ||
653 | |a electric discharge machining | ||
653 | |a response surface methodology | ||
653 | |a sustainability | ||
653 | |a surface quality | ||
653 | |a microstructure | ||
653 | |a multi-criteria decision making | ||
653 | |a process planning | ||
653 | |a manufacturing energy efficiency | ||
653 | |a clean manufacturing | ||
653 | |a sustainable manufacturing | ||
653 | |a digital manufacturing | ||
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856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/69268 |7 0 |z DOAB: description of the publication |