Pregled bibliografske jedinice broj: 924229
Multiobjective optimization for job scheduling at automated container terminals
Multiobjective optimization for job scheduling at automated container terminals // The 14th International Symposium on Operational Research in Slovenia – SOR'17 / Zadnik Stirn, L ; Kljajić Borštar, M ; Žerovnik, J ; Drobne, S (ur.).
Bled, Slovenija, 2017. str. 263-268 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 924229 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Multiobjective optimization for job scheduling at automated container terminals
Autori
Gudelj, Anita ; Krčum, Maja ; Čorić, Mirko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
The 14th International Symposium on Operational Research in Slovenia – SOR'17
/ Zadnik Stirn, L ; Kljajić Borštar, M ; Žerovnik, J ; Drobne, S - , 2017, 263-268
Skup
The 14th International Symposium on Operational Research in Slovenia – SOR'17
Mjesto i datum
Bled, Slovenija, 27.09.2017. - 29.09.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
job scheduling, AGVs, multi-objective optimization problem
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Pomorski fakultet, Split