Cantitate/Preț
Produs

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

Autor Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji
en Limba Engleză Paperback – 2 iun 2021
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.

Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 90889 lei  6-8 săpt.
  Springer Nature Singapore – 2 iun 2021 90889 lei  6-8 săpt.
Hardback (1) 91463 lei  6-8 săpt.
  Springer Nature Singapore – 2 iun 2020 91463 lei  6-8 săpt.

Preț: 90889 lei

Preț vechi: 110840 lei
-18% Nou

Puncte Express: 1363

Preț estimativ în valută:
17395 18351$ 14496£

Carte tipărită la comandă

Livrare economică 02-16 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9789811544644
ISBN-10: 9811544646
Ilustrații: XXIV, 272 p. 96 illus., 49 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.42 kg
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore

Cuprins

Introduction.- Quantitative analysis of real-time access to energy consumption information.- Energy consumption integration model for discrete manufacturing systems.- Construction of energy efficiency quantitative index system for discrete manufacturing system.- Combined energy efficiency quantitative analysis based on rough Set and analytic hierarchy process.- Energy efficiency quantitative analysis based on principal component analysis.- Design and development of quantitative analysis systems.- Energy saving optimization control of single machine equipment.- Integrated Energy Efficiency Optimization Control Based on RWA-MOPSO.- Production energy efficiency optimization control based on teaching and learning algorithm.

Notă biografică

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.

Textul de pe ultima copertă

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.


Caracteristici

Focuses on quantitative analysis and optimal control of energy efficiency in discrete manufacturing systems Proposes applicable methods to study the issues of energy efficiency quantitative analysis and integrated energy efficiency optimization control Presents new research findings that could serve as benchmark solutions for future research