Integration of an automated load management in a manufacturing execution system

C. Schultz; C. Bayer; M. Roesch; S. Braunreuther; G. Reinhart

doi:10.1109/IEEM.2017.8289940

Integration of an automated load management in a manufacturing execution system

C. Schultz
, C. Bayer
, M. Roesch
, S. Braunreuther
, G. Reinhart

Fraunhofer Institute for Casting, Composite and Processing Technology IGCV

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Today, many nations strive for further decoupling of economic growth and CO2 emissions by increasing their use of renewable energies. Because wind and solar power supply is volatile and puts strain on the electric grid, industrial consumers' Demand Side Management (DSM) becomes crucial for balancing energy supply and demand. As DSM measures directly influence a production system's performance, energy-related factors have to be weighed carefully against other production targets within a company's production control. This paper presents methods for integrating load management into production control in order to minimize energy costs for companies. In order to promote the application of load management in production, these methods are implemented in a commercial Manufacturing Execution System.

Original language	English
Title of host publication	2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
Publisher	IEEE Computer Society
Pages	494-498
Number of pages	5
ISBN (Electronic)	9781538609484
DOIs	https://doi.org/10.1109/IEEM.2017.8289940
State	Published - 2 Jul 2017
Externally published	Yes
Event	2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 - Singapore, Singapore Duration: 10 Dec 2017 → 13 Dec 2017

Publication series

Name	IEEE International Conference on Industrial Engineering and Engineering Management
Volume	2017-December
ISSN (Print)	2157-3611
ISSN (Electronic)	2157-362X

Conference

Conference	2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
Country/Territory	Singapore
City	Singapore
Period	10/12/17 → 13/12/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure
SDG 13 Climate Action

Keywords

Energy efficiency
Green manufacturing
Production planning and Control

Access to Document

10.1109/IEEM.2017.8289940

Cite this

Schultz, C., Bayer, C., Roesch, M., Braunreuther, S., & Reinhart, G. (2017). Integration of an automated load management in a manufacturing execution system. In 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 (pp. 494-498). (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2017-December). IEEE Computer Society. https://doi.org/10.1109/IEEM.2017.8289940

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abstract = "Today, many nations strive for further decoupling of economic growth and CO2 emissions by increasing their use of renewable energies. Because wind and solar power supply is volatile and puts strain on the electric grid, industrial consumers' Demand Side Management (DSM) becomes crucial for balancing energy supply and demand. As DSM measures directly influence a production system's performance, energy-related factors have to be weighed carefully against other production targets within a company's production control. This paper presents methods for integrating load management into production control in order to minimize energy costs for companies. In order to promote the application of load management in production, these methods are implemented in a commercial Manufacturing Execution System.",

keywords = "Energy efficiency, Green manufacturing, Production planning and Control",

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Schultz, C, Bayer, C, Roesch, M, Braunreuther, S & Reinhart, G 2017, Integration of an automated load management in a manufacturing execution system. in 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017. IEEE International Conference on Industrial Engineering and Engineering Management, vol. 2017-December, IEEE Computer Society, pp. 494-498, 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017, Singapore, Singapore, 10/12/17. https://doi.org/10.1109/IEEM.2017.8289940

Integration of an automated load management in a manufacturing execution system. / Schultz, C.; Bayer, C.; Roesch, M. et al.
2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017. IEEE Computer Society, 2017. p. 494-498 (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2017-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Bayer, C.

AU - Roesch, M.

AU - Braunreuther, S.

AU - Reinhart, G.

PY - 2017/7/2

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N2 - Today, many nations strive for further decoupling of economic growth and CO2 emissions by increasing their use of renewable energies. Because wind and solar power supply is volatile and puts strain on the electric grid, industrial consumers' Demand Side Management (DSM) becomes crucial for balancing energy supply and demand. As DSM measures directly influence a production system's performance, energy-related factors have to be weighed carefully against other production targets within a company's production control. This paper presents methods for integrating load management into production control in order to minimize energy costs for companies. In order to promote the application of load management in production, these methods are implemented in a commercial Manufacturing Execution System.

AB - Today, many nations strive for further decoupling of economic growth and CO2 emissions by increasing their use of renewable energies. Because wind and solar power supply is volatile and puts strain on the electric grid, industrial consumers' Demand Side Management (DSM) becomes crucial for balancing energy supply and demand. As DSM measures directly influence a production system's performance, energy-related factors have to be weighed carefully against other production targets within a company's production control. This paper presents methods for integrating load management into production control in order to minimize energy costs for companies. In order to promote the application of load management in production, these methods are implemented in a commercial Manufacturing Execution System.

KW - Energy efficiency

KW - Green manufacturing

KW - Production planning and Control

UR - https://www.scopus.com/pages/publications/85045286599

U2 - 10.1109/IEEM.2017.8289940

DO - 10.1109/IEEM.2017.8289940

M3 - Conference contribution

AN - SCOPUS:85045286599

T3 - IEEE International Conference on Industrial Engineering and Engineering Management

SP - 494

EP - 498

BT - 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017

PB - IEEE Computer Society

T2 - 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017

Y2 - 10 December 2017 through 13 December 2017

ER -

Schultz C, Bayer C, Roesch M, Braunreuther S, Reinhart G. Integration of an automated load management in a manufacturing execution system. In 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017. IEEE Computer Society. 2017. p. 494-498. (IEEE International Conference on Industrial Engineering and Engineering Management). doi: 10.1109/IEEM.2017.8289940

Integration of an automated load management in a manufacturing execution system

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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