TY - GEN
T1 - Platoon-Based Distributed Control for Automated Material Handling Systems
AU - Bozzi, Alessandro
AU - Jimenez, Jose Fernando
AU - Hernandez-Rodriguez, Camilo
AU - Gonzalez-Neira, Eliana Maria
AU - Trentesaux, Damien
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Smart manufacturing systems combine collaborative and autonomous control systems to provide optimal performance and respond to volatile demands. A key component of smart manufacturing is material management, as raw materials, work-in-progress, and finished products must be transported to the right location at the right time. However, during the production phase, it is imperative to establish an optimal traffic control scheme in order to avoid congestion and optimize material flow. This paper proposes a platooning-based control procedure implemented in a virtual agent-based manufacturing environment to increase the material flow efficiency on a manufacturing shop floor. An analysis of the production makespan and an indicator of the level of congestion in the material handling system was conducted in order to determine productivity improvements. An agent-based simulation is used to test the effectiveness of the novel platooning approach versus a traditional basic approach. A multivariate analysis of variance (MANOVA) reveals that the inclusion of a platoon-based procedure improves production performance and reduces congestion risks. © 2023 IEEE.
AB - Smart manufacturing systems combine collaborative and autonomous control systems to provide optimal performance and respond to volatile demands. A key component of smart manufacturing is material management, as raw materials, work-in-progress, and finished products must be transported to the right location at the right time. However, during the production phase, it is imperative to establish an optimal traffic control scheme in order to avoid congestion and optimize material flow. This paper proposes a platooning-based control procedure implemented in a virtual agent-based manufacturing environment to increase the material flow efficiency on a manufacturing shop floor. An analysis of the production makespan and an indicator of the level of congestion in the material handling system was conducted in order to determine productivity improvements. An agent-based simulation is used to test the effectiveness of the novel platooning approach versus a traditional basic approach. A multivariate analysis of variance (MANOVA) reveals that the inclusion of a platoon-based procedure improves production performance and reduces congestion risks. © 2023 IEEE.
KW - Collaboration
KW - Distributed Control
KW - Manufacturing
KW - Material Handling System
KW - Minimizing Congestion
KW - Platooning
KW - Reactive Decision-Making
UR - http://www.scopus.com/inward/record.url?scp=85177418655&partnerID=8YFLogxK
U2 - 10.1109/CoDIT58514.2023.10284111
DO - 10.1109/CoDIT58514.2023.10284111
M3 - Contribución a la conferencia
AN - SCOPUS:85177418655
T3 - 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023
SP - 2257
EP - 2262
BT - 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Control, Decision and Information Technologies, CoDIT 2023
Y2 - 3 July 2023 through 6 July 2023
ER -