TY - GEN
T1 - Integration of an automated load management in a manufacturing execution system
AU - Schultz, C.
AU - Bayer, C.
AU - Roesch, M.
AU - Braunreuther, S.
AU - Reinhart, G.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
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 -
