A simulation model for evaluating the cargo transfer alternatives in liquid cargo terminals

Abstract

Tanker ships arriving at liquid cargo terminals have to wait for getting service due to various operational restrictions in the terminal. Waiting time is the time passed until the tankers get service after the notice of readiness. The increase in the waiting times of tanker ships causes high demurrage costs. Reducing the waiting times of ships is of vital importance for the operational efficiency of the terminal. In this study, it is aimed to develop a simulation model in which alternative solutions in the cargo transfer operations can be tested to reduce the waiting times of tanker ships. The simulation model has several constraints that can be encountered in liquid cargo terminals, and it can be adapted to any liquid cargo terminal. The developed model was then applied to a liquid cargo terminal in Turkey.

A simulation model for resource allocation in port towage services

“…It helps decision-makers to achieve various goals such as increasing performance and efficiency in ports and reducing operating costs. Berth allocation and crane assignment in container terminals, 29 design and evaluation of container terminal configurations, 30 examination of the rail container processes, 31 evaluation of cargo transfer alternatives in liquid cargo terminals, 32 and so on can be given as examples of some port problems where simulation is used. These are just a few examples of port problems.…”

Design of experiment and simulation approach for analyzing automated guided vehicle performance indicators in a production line

“…used discrete-event simulation models to replicate the processes of generating, processing, and repairing faulty repairable items within maintenance systems. 20 O ¨zkan et al 21 developed a simulation model for evaluating cargo transfer alternatives in liquid cargo terminals using DES. Their model considers the probabilistic nature of the arrival process, the service process, and real-world constraints.…”

“…Building on this foundation, the research uses the DES to address critical challenges within manufacturing industries and extends the application of DES to simulate the job flow and transportation processes in manufacturing lines. 21 Unlike previous studies, we apply the DOEs to identify important factors affecting the performance of the AGV system after using the DES model in this study.…”