USULAN STRATEGI PENGAMBILAN PETI KEMAS UNTUK MEMINIMASI WAKTU TUNGGU TRUK DI TERMINAL PETI KEMAS (TPK) KOJA MENGGUNAKAN SIMULASI BERBASIS AGEN

• Main Author: Khairani, Rafida
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/83642
• Institution: Institut Teknologi Bandung

Koja Container Terminal (KCT) is one of the container terminals at Tanjung Priok Port, responsible for handling container loading and unloading activities. In 2023, the average turnaround time for imported external trucks at KCT reached 98.94 minutes. The high turnaround time is primarily due to prolonged truck waiting times, accounting for 92% of the total turnaround time. KCT plans to implement a truck reservation system, but currently lacks synchronization between truck arrivals and container locations, necessitating Rubber-Tyred Gantry (RTG) reshuffling activities. Reshuffling involves moving containers within a stack slot to accommodate new arrivals. The current container retrieval strategy employs a first-come-first-serve approach, causing extensive RTG travel distances and prolonged handling times. This study aims to propose a container retrieval strategy and determine the synchronization level for the truck reservation system to be developed, enabling truck arrivals to synchronize with container locations. This research employs agent-based simulation methodology. The simulation models the system by considering interactions among agents. Agent movements are simulated using discrete event simulation, evaluating each agent at specific events. In the container retrieval system, the goal for external trucks is to minimize waiting times, while RTGs aim to minimize inefficiencies. Agent-based simulation accommodates these individual goals towards a balanced solution, aiming collectively to minimize average truck waiting times. Based on the agent-based simulation results, the proposed strategy is a distance- based container retrieval strategy. Additionally, the addition of a synchronization module to the truck reservation system is proposed, designed to achieve 100% synchronization level. The combination of these strategies results in a 31.02% reduction in truck waiting times in container yard.