Berth allocation and resource management problem for container terminals considering environmental issues and weather conditions

This paper aimed to propose a bi-objective model to optimizing container port operations by minimizing both environmental pollutants and operational costs. The research addresses key challenges in port management, particularly the impact of weather uncertainty on the operational efficiency of quay cranes and yard trucks.

This paper employs a mathematical model to minimize cost and emissions from port operations while applying an improved epsilon-constraint algorithm to convert the bi-objective model into a single-objective. Additionally, a robust optimization approach is adopted to account for weather-related uncertainties.

The proposed model optimizes operational planning and environmental impact management under different weather condition. And, a robust model is presented, which demonstrates feasible against weather-related uncertainties. Results suggest that investing in yard carriers is a more sustainable and economically viable strategy for port expansion.

Originality/Value:

This paper contributes original insights by integrating both environmental and cost considerations into port operation optimization using a bi-objective approach. It provides a novel perspective on managing port resources under weather uncertainty, backed by a robust model evaluation at Shahid Rajaee Port.