Quantitative Analysis and Optimal Control of Energy Efficiency in Discrete Manufacturing System

This book provides energy efficiency quantitative analysis and optimal methods for discrete manufacturing systems, using real-time access to energy consumption information and models, and addressing the design and development of quantitative analysis systems. It offers optimal control strategies for single-machine equipment, an integrated approach based on RWA-MOPSO, and production energy efficiency based on a teaching and learning optimal algorithm.

Format: Paperback / softback
Length: 272 pages
Publication date: 02 June 2021
Publisher: Springer Verlag, Singapore

This comprehensive book delves into the realm of energy efficiency quantitative analysis and optimal methods for discrete manufacturing systems, offering a global optimization perspective. By leveraging real-time access to energy consumption information and comprehensive energy consumption models, it establishes an energy efficiency quantitative index system. Through the application of rough set and analytic hierarchy process, it proposes principal component quantitative analysis and a combined energy efficiency quantitative analysis. Furthermore, the book addresses the design and development of quantitative analysis systems, providing valuable insights into energy conservation. To achieve this, it presents a range of optimal control strategies, including one tailored for single-machine equipment, an integrated approach based on RWA-MOPSO, and a production energy efficiency strategy utilizing a teaching and learning optimal algorithm. With its extensive coverage, this book serves as a valuable resource for students, teachers, engineers, and researchers in the field of discrete manufacturing systems.

Introduction:
Energy efficiency plays a crucial role in the modern manufacturing industry, as it contributes to reducing environmental impact, improving operational costs, and enhancing competitiveness. In the context of discrete manufacturing systems, which involve the production of individual parts or products, optimizing energy consumption is of paramount importance. This book aims to provide a comprehensive guide to energy efficiency quantitative analysis and optimal methods for discrete manufacturing systems, with a focus on global optimization.
Energy Efficiency Quantitative Analysis:
The book begins by introducing the concept of energy efficiency quantitative analysis and its significance in discrete manufacturing systems. It discusses the importance of real-time access to energy consumption information and the development of energy consumption models. These models help in understanding the patterns and characteristics of energy consumption, enabling the identification of areas for improvement.
The book then presents an energy efficiency quantitative index system, which serves as a framework for measuring and evaluating the energy efficiency of discrete manufacturing systems. This index system takes into account various factors such as energy consumption, energy intensity, and energy utilization. By using this index system, manufacturers can assess the overall energy efficiency of their systems and identify specific areas that require attention.
Furthermore, the book discusses the application of rough set and analytic hierarchy process in energy efficiency quantitative analysis. These methods help in reducing the complexity of data and identifying key factors that influence energy consumption. They also assist in constructing decision-making frameworks that prioritize energy efficiency improvement strategies.
Optimal Methods for Discrete Manufacturing Systems:
In order to optimize energy efficiency for discrete manufacturing systems, the book proposes a range of optimal methods. These methods include principal component quantitative analysis, which involves the reduction of data dimensionality and the identification of important factors that influence energy consumption. Combined energy efficiency quantitative analysis, which combines multiple energy efficiency indicators to provide a more comprehensive evaluation of system performance.
The book also discusses the design and development of quantitative analysis systems for discrete manufacturing systems. It emphasizes the importance of data collection, data preprocessing, and data analysis in order to obtain accurate and reliable results. It also highlights the use of advanced statistical techniques and machine learning algorithms to enhance the accuracy and efficiency of quantitative analysis.
Energy Conservation Strategies:
To save energy consumption on the basis of energy efficiency analysis, the book presents several optimal control strategies. These strategies include 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. These strategies are designed to optimize the energy consumption of discrete manufacturing systems by taking into account various factors such as machine settings, process parameters, and energy sources.
The book also discusses the implementation of energy conservation strategies in real-world scenarios. It provides case studies and examples of successful energy conservation projects in the manufacturing industry, highlighting the benefits and challenges associated with implementing these strategies. The book also offers guidance on how manufacturers can develop and implement energy conservation policies and practices to ensure sustainable energy consumption in their operations.
Conclusion:
In conclusion, this comprehensive book provides a valuable guide for students, teachers, engineers, and researchers in the field of discrete manufacturing systems. It offers a comprehensive understanding of energy efficiency quantitative analysis and optimal methods, with a focus on global optimization. By leveraging real-time access to energy consumption information and comprehensive energy consumption models, it establishes an energy efficiency quantitative index system. Through the application of rough set and analytic hierarchy approach, it proposes principal component quantitative analysis and a combined energy efficiency quantitative analysis. Furthermore, the book addresses the design and development of quantitative analysis systems, providing valuable insights into energy conservation. To achieve this, it presents a range of optimal control strategies, including one tailored for single-machine equipment, an integrated approach based on RWA-MOPSO, and a production energy efficiency strategy utilizing a teaching and learning optimal algorithm. With its extensive coverage, this book serves as a valuable resource for students, teachers, engineers, and researchers in the field of discrete manufacturing systems.

Weight: 456g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811544644
Edition number: 1st ed. 2020