TY - GEN
T1 - SOFTWARE-IN-THE-LOOP TEST BENCH FOR THE EVALUATION OF THE COORDINATIVE FLEET CONTROL APPROACH IN INTRALOGISTICS
AU - Rothmeyer, Florian
AU - Fottner, Johannes
N1 - Publisher Copyright:
© ECMS Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni (Editors) 2023.
PY - 2023
Y1 - 2023
N2 - A system coordinator for the intelligent forwarding of transport orders enables the combination of several fleets of intralogistic transport vehicles such as robots in one material flow system without them having to exchange information with each other. Evaluating the operation of this coordinator requires a simulation environment that represents all adjacent systems, creating a Software-in-the-Loop (SiL) environment. This includes upstream systems, e.g. enterprise resource planning or manufacturing execution systems, several fleet controllers as well as a material flow system with all vehicles including their interactions and possible failures. In this article, the conceptual design of such an SiL system is presented. Additionally, a proof-of-concept shows the fundamental functionality by comparing the perfomance of two different configurations of the system coordinator. While the results are plausible relative to each other, an improvement of the system configuration is needed for the absolute validity of the values. Python is used for the system coordinator and the analysis, openTCS for the fleet controllers and Tecnomatix Plant Simulation for the material flow simulation. The communication in between uses HTTP and raw TCP packets, respectively.
AB - A system coordinator for the intelligent forwarding of transport orders enables the combination of several fleets of intralogistic transport vehicles such as robots in one material flow system without them having to exchange information with each other. Evaluating the operation of this coordinator requires a simulation environment that represents all adjacent systems, creating a Software-in-the-Loop (SiL) environment. This includes upstream systems, e.g. enterprise resource planning or manufacturing execution systems, several fleet controllers as well as a material flow system with all vehicles including their interactions and possible failures. In this article, the conceptual design of such an SiL system is presented. Additionally, a proof-of-concept shows the fundamental functionality by comparing the perfomance of two different configurations of the system coordinator. While the results are plausible relative to each other, an improvement of the system configuration is needed for the absolute validity of the values. Python is used for the system coordinator and the analysis, openTCS for the fleet controllers and Tecnomatix Plant Simulation for the material flow simulation. The communication in between uses HTTP and raw TCP packets, respectively.
KW - Autonomous Mobile Robots (AMRs)
KW - Discrete-event Simulation
KW - Fleet Management
KW - Guidance Control
KW - Intralogistics
KW - Robotics
UR - http://www.scopus.com/inward/record.url?scp=85163487449&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85163487449
T3 - Proceedings - European Council for Modelling and Simulation, ECMS
SP - 401
EP - 408
BT - Proceedings of the 37th ECMS International Conference on Modelling and Simulation, ECMS 2023
A2 - Vicario, Enrico
A2 - Bandinelli, Romeo
A2 - Fani, Virginia
A2 - Mastroianni, Michele
PB - European Council for Modelling and Simulation
T2 - 37th ECMS International Conference on Modelling and Simulation, ECMS 2023
Y2 - 20 June 2023 through 23 June 2023
ER -