Multiobjective optimization for job scheduling at automated container terminals (CROSBI ID 658541)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Gudelj, Anita ; Krčum, Maja ; Čorić, Mirko
engleski
Multiobjective optimization for job scheduling at automated container terminals
The objective of this paper is traffic control and optimization for job scheduling of an Automated Guided Vehicle System which is embedded in a container terminal. The aim of AGV scheduling is not only reduces the cost of terminal operation but also maximizes the system performance. This study first formulates mathematical model which is focused on the optimization of job scheduling. The model considers two objectives (i.e., AGV traveling time by minimization vehicle waiting times for quay cranes involved) and their weighted sum is investigated as the representative example. In addition, the study is extended to seek optimal schedule in AGV system using multi-objective genetic algorithm which yields improvements in system throughput along with a decrease in the numbers of AGVs. The algorithm deals with multi-constrained scheduling problem with shared resources. The developed model is verified by a computer simulation using MATLAB environment. Results of simulation and experiments applied on real container terminal are presented.
job scheduling, AGVs, multi-objective optimization problem
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Podaci o prilogu
263-268.
2017.
objavljeno
Podaci o matičnoj publikaciji
The 14th International Symposium on Operational Research in Slovenia – SOR'17
Zadnik Stirn, L ; Kljajić Borštar, M ; Žerovnik, J ; Drobne, S
Podaci o skupu
The 14th International Symposium on Operational Research in Slovenia – SOR'17
predavanje
27.09.2017-29.09.2017
Bled, Slovenija