TY - JOUR
T1 - Approach for an event-driven production control for cyber-physical production systems
AU - Berger, Christoph
AU - Zipfel, Alexander
AU - Braunreuther, Stefan
AU - Reinhart, Gunther
N1 - Publisher Copyright:
© 2019 The Author(s).
PY - 2019
Y1 - 2019
N2 - When the changing market environment in terms of logistical requirements is considered, production planning and control (PPS) has recently contributed significantly to fulfilling these demands. Cyber-physical production systems (CPPS) with their characteristics of decentralised organisation, real-time capability and smart data processing offer new possibilities for PPS. Consequently, this paper proposes a new event-based approach. Control loops close to the production shop floor enable a rapid identification of events. Based on an activity list, production control is able to react adequately to different events, such as machine disturbances. Finally, the developed approach for event-driven production control is implemented in a simulation.
AB - When the changing market environment in terms of logistical requirements is considered, production planning and control (PPS) has recently contributed significantly to fulfilling these demands. Cyber-physical production systems (CPPS) with their characteristics of decentralised organisation, real-time capability and smart data processing offer new possibilities for PPS. Consequently, this paper proposes a new event-based approach. Control loops close to the production shop floor enable a rapid identification of events. Based on an activity list, production control is able to react adequately to different events, such as machine disturbances. Finally, the developed approach for event-driven production control is implemented in a simulation.
KW - Control
KW - Cyber-physical systems
KW - Digital manufacturing system
KW - Modelling
KW - Production planning
UR - http://www.scopus.com/inward/record.url?scp=85065407020&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2019.02.085
DO - 10.1016/j.procir.2019.02.085
M3 - Conference article
AN - SCOPUS:85065407020
SN - 2212-8271
VL - 79
SP - 349
EP - 354
JO - Procedia CIRP
JF - Procedia CIRP
T2 - 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2018
Y2 - 18 July 2018 through 20 July 2018
ER -