A simulation model to study anchorage capacity

Abstract

This study explores the optimization of anchorage space utilization in Singapore's port through advanced simulation modeling and algorithmic enhancements. Building upon the WALLPACK-MHDF algorithm, we introduce novel approaches to vessel placement, prioritization, and productivity assessment in maritime anchorages. Key aspects of this research include: Vessel Simulation: Model vessel characteristics using bimodal distributions for length, exponential distributions for inter-arrivals, and log-normal distributions for dwell times, based on real-world data from Singapore's Maritime Data Hub; Priority Reordering: Investigate various strategies for managing queue of incoming vessels and waitlisted vessels, considering factors such as vessel size and dwell time to balance utilization, waiting times, and throughput; Neighbor Assessment: Evaluate the impact of considering neighboring vessels' departure times on placement decisions, aiming to optimize space utilization and operational flexibility; Multi-Anchorage Planning: Develop a GUI tool to facilitate real-time decision-making across multiple anchorages, incorporating insights from industry professionals.

The findings demonstrate modest improvements in anchorage utilization and vessel throughput. Key trade-offs between maximizing space usage and minimizing waiting times are identified, providing valuable insights for maritime authorities and port operators.

The study also highlights areas for future research, including the incorporation of environmental factors, non-uniform sea depths, and advanced risk modeling techniques. These enhancements aim to further improve the safety and efficiency of anchorage operations in busy maritime hubs like Singapore.