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

1. Front Matter

   Pages i-xxiv

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2. Introduction

   • Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji

   Pages 1-23

3. Perceiving the Energy Consumption Information of Discrete Manufacturing Systems

   • Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji

   Pages 25-49

4. Energy Consumption Model of the Discrete Manufacturing System

   • Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji

   Pages 51-102

5. Constructing a Multi-layered Energy Efficiency Quantitative Analysis Index System

   • Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji

   Pages 103-117

6. The Quantitative Analysis of Energy Efficiency Based on Rough Set Theory and AHM

   • Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji

   Pages 119-136

7. Diagnosis of the Manufacturing Energy Consumption Bottleneck in a Complex Environment

   • Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji

   Pages 137-160

8. The Energy Efficiency Quantitative Analysis Based on the Principal Component Analysis

   • Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji

   Pages 161-175

9. Static Optimization and Scheduling of the Discrete Manufacturing System’s Energy Efficiency Based on the Integration of Knowledge and MOPSO

   • Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji

   Pages 177-211

10. Discrete Manufacturing System’s Dynamic Intelligent Optimization Scheduling Method for High-Dimensional and Multi-objective Optimization of Production/Energy Consumption

    • Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji

    Pages 213-240

11. Energy-Efficient Process Parameters Optimizing Decision Method

    • Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji

    Pages 241-254

12. Design and Application of Energy Efficiency Optimization Control Software System

    • Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji

    Pages 255-272

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.

• Discrete manufacturing system
• Energy efficiency optimization
• Quantitative analysis
• Energy consumption
• Optimal control strategy

• School of IOT Engineering, Jiangnan University, Wuxi, China

  Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji

Yan Wang received her Ph.D. degree from Nanjing University of Science and Technology, China, in 2006. She is currently a professor at the School of Internet of Things Engineering, Jiangnan University, China. Her research interests include Energy-Efficient Control of Complex Manufacturing System, Industrial Networked System, and Evolutionary Computing.

Cheng-Lin Liu received his Ph.D. degree from Southeast University, China, in 2008. He is currently a professor at the School of Internet of Things Engineering, Jiangnan University, China. His research interests include Coordination Control of Multi-agent Systems and Distributed Control of Networked Systems.

Zhi-Cheng Ji received his Ph.D. degree from China University of Mining and Technology, China, in 2004. He is currently the vice president of Jiangnan University.

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