Management of Energy and Manufacturing System

• Other Authors: Xia, Tangbin (Editor), Pan, Ershun (Editor), Wang, Rongxi (Editor), Li, Yupeng (Editor), Gu, Xi (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Technology: general issues; History of engineering & technology; 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
• Online Access: DOAB: download the publication; DOAB: description of the publication

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.