Assessing forecasted container throughput demand on optimal terminal design:

This paper seeks to balance (or at least provide sufficient) container storage capacity with forecasted TEU throughput volumes for the Port of Busan. Hence, this paper focuses both on forecasting TEU throughput volumes accurately and maximizing CY storage capacity. The SARIMA model using the Box-Jenkins approach was compared against the linear regression model with dummy variables in order to identify seasonal and peak patterns of TEU throughput volumes. The SARIMA model (1,1,0)(0,1,1)12 have been found to be the best method to forecast the monthly 2015 TEU throughput volume for the Port of Busan. Furthermore, front-end-loading systems configured with RMGs have superior container storage capacity compared to sideway-loading systems. Finally, container dwell times and container stacking heights are among the factors to affect the container storage capacity in a yard block.