Various uncertainty factors of logistics exist in actual maritime logistics and these factors should be considered in advance in order to get accurate results. However, it is difficult to consider these various uncertainty factors, therefore, these factors are expressed by fixed value in present studies.
This study develops new optimization methods considering the uncertainty factors of logistics by using robust optimization and multi objective optimization. By using these methods, the uncertainty of transportation volume, ship speed, and oil price are considered and new ship allocation planning optimization system is developed. Thereby, the influences of uncertainty factors are considered and the effectiveness of the developed methods is shown by using the optimization system.
