Abstract—This paper proposes a developed simulation model for stacking containers in a container terminal through developing and applying a genetic algorithm (GA) for containers location assignment with minimized total lifting time and increased service efficiency of the container terminals. The application obtained from the genetic algorithm shows the appropriate containers location assignment based on the arrival of containers at a container terminal and correlates it with the order of the containers loaded onto container ships. The solutions from the genetic algorithm were used in the model application. Observations were made on container total lifting time using the simulation model based on a genetic algorithm for finding the best configuration of containers in a bay and the solution of simulation based on the First-In, First-Storage (FIFS) rule. Experimental results showed that the simulation model based on the genetic algorithm is more efficient than the simulation model based on the FIFS rule.
Index Terms—Stacking container, genetic algorithm, simulation model.
P. Sriphrabu and K. Sethanan are with the Industrial Engineering Department, Khon Kaen University, Khon Kaen, 40002 Thailand (e-mail: email@example.com, firstname.lastname@example.org).
B. Arnonkijpanich is with the Department of Mathematics, Khon Kaen University, Khon Kaen, 40002 Thailand (e-mail: email@example.com).
Cite: Phatchara Sriphrabu, Kanchana Sethanan, and Banchar Arnonkijpanich, "A Solution of the Container Stacking Problem by Genetic Algorithm," International Journal of Engineering and Technology vol. 5, no. 1, pp. 45-49, 2013.