Quantitative Analysis And Optimal Control Of Energy Efficiency In Discrete Manufacturing System
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| Author | : Yan Wang |
| Publisher | : Springer Nature |
| Total Pages | : 291 |
| Release | : 2020-06-01 |
| Genre | : Science |
| ISBN | : 981154462X |
This book provides energy efficiency quantitative analysis and optimal methods for discrete manufacturing systems from the perspective of global optimization. In order to analyze and optimize energy efficiency for discrete manufacturing systems, it uses real-time access to energy consumption information and models of the energy consumption, and constructs an energy efficiency quantitative index system. Based on the rough set and analytic hierarchy process, it also proposes a principal component quantitative analysis and a combined energy efficiency quantitative analysis. In turn, the book addresses the design and development of quantitative analysis systems. To save energy consumption on the basis of energy efficiency analysis, it presents several optimal control strategies, including one for single-machine equipment, an integrated approach based on RWA-MOPSO, and one for production energy efficiency based on a teaching and learning optimal algorithm. Given its scope, the book offers a valuable guide for students, teachers, engineers and researchers in the field of discrete manufacturing systems.
| Author | : Konstantinos Salonitis |
| Publisher | : MDPI |
| Total Pages | : 224 |
| Release | : 2020-11-09 |
| Genre | : Technology & Engineering |
| ISBN | : 3039365096 |
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.
| Author | : Lin Li |
| Publisher | : John Wiley & Sons |
| Total Pages | : 436 |
| Release | : 2022-11-03 |
| Genre | : Technology & Engineering |
| ISBN | : 1119578329 |
Sustainable Manufacturing Systems Learn more about energy efficiency in traditional and advanced manufacturing settings with this leading and authoritative resource Sustainable Manufacturing Systems: An Energy Perspective delivers a comprehensive analysis of energy efficiency in sustainable manufacturing. The book presents manufacturing modeling methods and energy efficiency evaluation and improvement methods for different manufacturing systems. It allows industry professionals to understand the methodologies and techniques being embraced around the world that lead to advanced energy management. The book offers readers a comprehensive and systematic theoretical foundation for novel manufacturing system modeling, analysis, and control. It concludes with a summary of the insights and applications contained within and a discussion of future research issues that have yet to be grappled with. Sustainable Manufacturing Systems answers the questions that energy customers, managers, decision makers, and researchers have been asking about sustainable manufacturing. The book’s release coincides with recent and profound advances in smart grid applications and will serve as a practical tool to assist industrial engineers in furthering the green revolution. Readers will also benefit from: A thorough introduction to energy efficiency in manufacturing systems, including the current state of research and research methodologies An exploration of the development of manufacturing methodologies, including mathematical modeling for manufacturing systems and energy efficiency characterization in manufacturing systems An analysis of the applications of various methodologies, including electricity demand response for manufacturing systems and energy control and optimization for manufacturing systems utilizing combined heat and power systems A discussion of energy efficiency in advanced manufacturing systems, like stereolithography additive manufacturing and cellulosic biofuel manufacturing systems Perfect for researchers, undergraduate students, and graduate students in engineering disciplines, especially for those majoring in industrial, mechanical, electrical, and environmental engineering, Sustainable Manufacturing Systems will also earn a place in the libraries of management and business students interested in manufacturing system cost performance and energy management.
| Author | : Sebastian Thiede |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 213 |
| Release | : 2012-04-23 |
| Genre | : Business & Economics |
| ISBN | : 3642259146 |
Energy consumption is of great interest to manufacturing companies. Beyond considering individual processes and machines, the perspective on process chains and factories as a whole holds major potentials for energy efficiency improvements. To exploit these potentials, dynamic interactions of different processes as well as auxiliary equipment (e.g. compressed air generation) need to be taken into account. In addition, planning and controlling manufacturing systems require balancing technical, economic and environmental objectives. Therefore, an innovative and comprehensive methodology – with a generic energy flow-oriented manufacturing simulation environment as a core element – is developed and embedded into a step-by-step application cycle. The concept is applied in its entirety to a wide range of case studies such as aluminium die casting, weaving mills, and printed circuit board assembly in order to demonstrate the broad applicability and the benefits that can be achieved.
| Author | : |
| Publisher | : |
| Total Pages | : 440 |
| Release | : 1995 |
| Genre | : Aeronautics |
| ISBN | : |
| Author | : |
| Publisher | : |
| Total Pages | : 400 |
| Release | : 1948 |
| Genre | : Mechanics, Applied |
| ISBN | : |
| Author | : Mason Thammawichai |
| Publisher | : |
| Total Pages | : |
| Release | : 2016 |
| Genre | : |
| ISBN | : |
| Author | : Konstantinos Salonitis |
| Publisher | : |
| Total Pages | : 224 |
| Release | : 2020 |
| Genre | : |
| ISBN | : 9783039365104 |
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.
| Author | : Hyun Jeon |
| Publisher | : |
| Total Pages | : |
| Release | : 2015 |
| Genre | : |
| ISBN | : |
Many managerial decisions impact the energy consumption of discrete manufacturing firms. Since an energy amount to be consumed in manufacturing systems is closely connected to energy costs and environmental consequences, these managerial decisions can have long-lasting effects. Hence, making informed decisions with the aid of energy estimation tools is important to manufacturing firms. Estimating energy consumption in manufacturing is not, however, straightforward. There are a number of different manufacturing processes, and the energy consumption of each process is dependent on many operational parameters. Thus, for a better manufacturing energy analysis, the power profiles need to be collected and analyzed from real manufacturing machines, and various methods including analytical and simulation approaches should be proposed and tested based on the collected data. Furthermore, since many previous studies are focusing mainly on mean power demands for evaluating energy consumption, variability of manufacturing power demands also has to be investigated for exploring how the uncertainty impacts on manufacturing energy.In order to address the issues, this dissertation proposes various but useful methods. At the beginning, this study shows an analytical manufacturing energy model based on queueing network theory. Considering Markovian and Non-Markovian assumptions, we present the manufacturing energy consumption in a closed form equation. Then, our analysis develops the previous model further for energy efficiency benchmarking. Comparing the manufacturing energy in a hypothetical system with peers in the U.S., the proposed model shows how to assess the energy efficiency in a manufacturing plant based on the simulation and stochastic frontier analysis approaches. After the energy estimation and energy efficiency assessment are discussed, our study transcends the previous studies by considering uncertainty and variability on the manufacturing electrical demands. Our approach presents the benefits of considering uncertainty in the manufacturing power demands, and proposes a systemic method to estimate the mean and uncertainty by applying probabilistic techniques. At each discussion, the proposed method is validated and verified in a suitable manner, and the accuracy of the proposed method is also checked in detail.
| Author | : |
| Publisher | : |
| Total Pages | : 252 |
| Release | : 1987 |
| Genre | : Space stations |
| ISBN | : |
