Discrete Event Simulation Modeling for Classifying the Container Yard Availability Considering Dock Unloading Activity

EasyChair Preprint 2482, version 1

Abstract

The development of systems and technology in the industry especially in the supply chain sector currently has a significant influence on the speed and accuracy along the supply chain. This is one of the reasons to build a container loading and unloading service company located in Surabaya, Indonesia that applies the green port concept with renewable loading and unloading equipment technology. One of the unique and prominent renewable concepts is the docking station, which aims to speed up loading and unloading activities. Currently, the port has five yards available with 30 docking gates. The problem is that the loading and unloading activities are mixed so that the concept of docking that initially the objective is to accelerate loading and unloading, now the performances are not as expected. Thus, the value of yard utility is not optimal yet. A discrete-event simulation aims to help classifying which yards are suitable for unloading activities and the rest for loading activities. This study focus only on for unloading activities, because these activities at the most activity in the company. The model verification is obtained "no error" and model validation is less than 5%. The study conclude that the best scenario is to use three yard containers with six gates of docking for each yard.

Keyphrases: Discrete Event Simulation, Docking station, container yard

@booklet{EasyChair:2482,
  author    = {Mahya Indra Tama and Nurhadi Siswanto and Suparno},
  title     = {Discrete Event Simulation Modeling for Classifying the Container Yard Availability Considering Dock Unloading Activity},
  howpublished = {EasyChair Preprint 2482},
  year      = {EasyChair, 2020}}