TY - GEN
T1 - Order Assignment Strategies for Heterogeneous inBound Transport Systems
AU - Mestiri, Slaheddine
AU - Küster, Fabian
AU - Fottner, Johannes
N1 - Publisher Copyright:
© 2022 The Authors.
PY - 2022
Y1 - 2022
N2 - An efficient design of in-bound transport systems is crucial to meet the challenges of performance and reliability facing logistics, as they represent a central part of production and distribution systems. Moreover, these systems often consist of a heterogeneous fleet of vehicles, e.g., forklifts, tugger trains, and automated guided vehicles. Besides the vehicles' different technical and physical aspects, control strategies also significantly impact the system performance. Therefore, order assignment, i.e., how transport orders are distributed among the vehicles, is of primary importance. This work presents a new method based on the Hungarian algorithm for dynamically solving the transport-order assignment problem. For an exemplary transport system, we then use discrete event simulation to study the impact of different assignment strategies on the system performance.
AB - An efficient design of in-bound transport systems is crucial to meet the challenges of performance and reliability facing logistics, as they represent a central part of production and distribution systems. Moreover, these systems often consist of a heterogeneous fleet of vehicles, e.g., forklifts, tugger trains, and automated guided vehicles. Besides the vehicles' different technical and physical aspects, control strategies also significantly impact the system performance. Therefore, order assignment, i.e., how transport orders are distributed among the vehicles, is of primary importance. This work presents a new method based on the Hungarian algorithm for dynamically solving the transport-order assignment problem. For an exemplary transport system, we then use discrete event simulation to study the impact of different assignment strategies on the system performance.
KW - Transport order assignment
KW - discrete event simulation
KW - in-bound transport systems
KW - optimization
UR - http://www.scopus.com/inward/record.url?scp=85143197809&partnerID=8YFLogxK
U2 - 10.46354/i3m.2022.mas.016
DO - 10.46354/i3m.2022.mas.016
M3 - Conference contribution
AN - SCOPUS:85143197809
T3 - 21st International Conference on Modeling and Applied Simulation, MAS 2022
BT - 21st International Conference on Modeling and Applied Simulation, MAS 2022
A2 - Bruzzone, Agostino G.
A2 - De Felice, Fabio
A2 - Longo, Francesco
A2 - Massei, Marina
A2 - Solis, Adriano O.
PB - Dime University of Genoa
T2 - 21st International Conference on Modeling and Applied Simulation, MAS 2022
Y2 - 19 September 2022 through 21 September 2022
ER -