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Quantitative analysis and optimal co...

Ji, Zhi-Cheng.

Quantitative analysis and optimal control of energy efficiency in discrete manufacturing system

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Quantitative analysis and optimal control of energy efficiency in discrete manufacturing systemby Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji.
作者:	Wang, Yan.
其他作者:	Liu, Cheng-Lin.
出版者:	Singapore :Springer Singapore :2020.
面頁冊數:	xxiv, 272 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Manufacturing industriesEnergy consumption.
電子資源:	https://doi.org/10.1007/978-981-15-4462-0
ISBN:	9789811544620$q(electronic bk.)

Quantitative analysis and optimal control of energy efficiency in discrete manufacturing system
Wang, Yan.

Quantitative analysis and optimal control of energy efficiency in discrete manufacturing system[electronic resource] /by Yan Wang, Cheng-Lin Liu, Zhi-Cheng Ji. - Singapore :Springer Singapore :2020. - xxiv, 272 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9789811544620$q(electronic bk.)

Standard No.: 10.1007/978-981-15-4462-0doiSubjects--Topical Terms:

561723
Manufacturing industries
--Energy consumption.

LC Class. No.: TJ163.3 / .W364 2020

Dewey Class. No.: 333.7965

Quantitative analysis and optimal control of energy efficiency in discrete manufacturing system
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505 0 $a 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.
520 $a 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.
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