東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

A method to identify energy efficien...

Krones, Manuela.

Linked to FindBook

Google Book

Amazon

博客來

A method to identify energy efficiency measures for factory systems based on qualitative modeling

Record Type:	Electronic resources : Monograph/item
Title/Author:	A method to identify energy efficiency measures for factory systems based on qualitative modeling/ by Manuela Krones.
Author:	Krones, Manuela.
Published:	Wiesbaden :Springer Fachmedien Wiesbaden : : 2017.,
Description:	xxii, 234 p. :ill., digital ;24 cm.
[NT 15003449]:	Driving Concerns for and Barriers against Energy Efficiency -- Approaches to Increase Energy Efficiency in Factories -- Socio-Technical Description of Factory Planning Tasks -- Description of Energy Efficiency Measures -- Case Studies on Welding Processes and Logistics Systems.
Contained By:	Springer eBooks
Subject:	Factories - Energy consumption. -
Online resource:	http://dx.doi.org/10.1007/978-3-658-18343-1
ISBN:	9783658183431

A method to identify energy efficiency measures for factory systems based on qualitative modeling
Krones, Manuela.

A method to identify energy efficiency measures for factory systems based on qualitative modeling[electronic resource] /by Manuela Krones. - Wiesbaden :Springer Fachmedien Wiesbaden :2017. - xxii, 234 p. :ill., digital ;24 cm.

Driving Concerns for and Barriers against Energy Efficiency -- Approaches to Increase Energy Efficiency in Factories -- Socio-Technical Description of Factory Planning Tasks -- Description of Energy Efficiency Measures -- Case Studies on Welding Processes and Logistics Systems.

Manuela Krones develops a method that supports factory planners in generating energy-efficient planning solutions. The method provides qualitative description concepts for factory planning tasks and energy efficiency knowledge as well as an algorithm-based linkage between these measures and the respective planning tasks. Its application is guided by a procedure model which allows a general applicability in the manufacturing sector. The results contain energy efficiency measures that are suitable for a specific planning task and reveal the roles of various actors for the measures' implementation. Contents Driving Concerns for and Barriers against Energy Efficiency Approaches to Increase Energy Efficiency in Factories Socio-Technical Description of Factory Planning Tasks Description of Energy Efficiency Measures Case Studies on Welding Processes and Logistics Systems Target Groups Lecturers and Students of Industrial Engineering, Production Engineering, Environmental Engineering, Mechanical Engineering Practitioners in Factory Planning, Production Engineering, Energy Management The Author Dr. Manuela Krones works as a research assistant at the Department of Factory Planning and Factory Management at Chemnitz University of Technology, Germany, and has conducted several projects on the energy efficiency of production and logistics systems.

ISBN: 9783658183431

Standard No.: 10.1007/978-3-658-18343-1doiSubjects--Topical Terms:

3242272
Factories
--Energy consumption.

LC Class. No.: TK4035.F3

Dewey Class. No.: 333.7965

A method to identify energy efficiency measures for factory systems based on qualitative modeling
LDR:02608nmm a2200313 a 4500 001 2100522
003 DE-He213
005 20171227112233.0
006 m d
007 cr nn 008maaau
008 180119s2017 gw s 0 eng d
020 $a 9783658183431 $q (electronic bk.)
020 $a 9783658183424 $q (paper)
024 7 $a 10.1007/978-3-658-18343-1 $2 doi
035 $a 978-3-658-18343-1
040 $a GP $c GP
041 0 $a eng
050 4 $a TK4035.F3
072 7 $a TGP $2 bicssc
072 7 $a TEC009060 $2 bisacsh
082 0 4 $a 333.7965 $2 23
090 $a TK4035.F3 $b K93 2017
100 1 $a Krones, Manuela. $3 3242271
245 1 2 $a A method to identify energy efficiency measures for factory systems based on qualitative modeling $h [electronic resource] / $c by Manuela Krones.
260 $a Wiesbaden : $b Springer Fachmedien Wiesbaden : $b Imprint: Springer Vieweg, $c 2017.
300 $a xxii, 234 p. : $b ill., digital ; $c 24 cm.
505 0 $a Driving Concerns for and Barriers against Energy Efficiency -- Approaches to Increase Energy Efficiency in Factories -- Socio-Technical Description of Factory Planning Tasks -- Description of Energy Efficiency Measures -- Case Studies on Welding Processes and Logistics Systems.
520 $a Manuela Krones develops a method that supports factory planners in generating energy-efficient planning solutions. The method provides qualitative description concepts for factory planning tasks and energy efficiency knowledge as well as an algorithm-based linkage between these measures and the respective planning tasks. Its application is guided by a procedure model which allows a general applicability in the manufacturing sector. The results contain energy efficiency measures that are suitable for a specific planning task and reveal the roles of various actors for the measures' implementation. Contents Driving Concerns for and Barriers against Energy Efficiency Approaches to Increase Energy Efficiency in Factories Socio-Technical Description of Factory Planning Tasks Description of Energy Efficiency Measures Case Studies on Welding Processes and Logistics Systems Target Groups Lecturers and Students of Industrial Engineering, Production Engineering, Environmental Engineering, Mechanical Engineering Practitioners in Factory Planning, Production Engineering, Energy Management The Author Dr. Manuela Krones works as a research assistant at the Department of Factory Planning and Factory Management at Chemnitz University of Technology, Germany, and has conducted several projects on the energy efficiency of production and logistics systems.
650 0 $a Factories $x Energy consumption. $3 3242272
650 0 $a Factories $x Energy consumption $x Mathematical models. $3 3242273
650 1 4 $a Engineering. $3 586835
650 2 4 $a Industrial and Production Engineering. $3 891024
650 2 4 $a Mechanical Engineering. $3 891038
650 2 4 $a Sustainable Development. $3 900447
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-658-18343-1
950 $a Engineering (Springer-11647)