[Paper Review] Simulation and optimization of container terminal operations: a case study

Gamal Abd El-Nasser A. Said, Abeer M. Mahmoud+1 more|arXiv (Cornell University)|Jul 22, 2014

Maritime Ports and Logistics28 references3 citations

TL;DR

This paper proposes an integrated simulation and optimization model to reduce container ship turnaround time at ports, using discrete-event simulation to model terminal operations and a heuristic optimization approach to improve resource allocation. Applied to El-Dekheilla Port, the method achieved a 51% reduction in ship service time, demonstrating significant efficiency gains in container terminal operations.

ABSTRACT

Container terminals are facing a set of interrelated problems. Container handling problems at container terminals are NP-hard problems. The docking time of container ships at the port must be optimized. In this paper we have built a simulation model that integrates all the activities of a container terminal. The proposed approach is applied on a real case study data of container terminal at El-Dekheilla port. The results show that the proposed approach reduced the ship turnaround time in port where 51% reduction in ship service time (loading/unloading) in port is achieved.

Motivation & Objective

• Address the challenge of minimizing container ship turnaround time at container terminals, a critical factor in port efficiency.
• Tackle the NP-hard nature of container terminal operations by integrating simulation and optimization techniques.
• Develop a comprehensive simulation model that captures all key activities in container terminal operations.
• Optimize resource allocation and operational sequences to reduce service time for container vessels.
• Validate the proposed approach using real-world data from El-Dekheilla Port, a case study in a developing port context.

Proposed method

• Developed a discrete-event simulation model to represent the entire container terminal operation, including quay cranes, yard trucks, and storage yard activities.
• Integrated real operational data from El-Dekheilla Port to ensure model fidelity and practical relevance.
• Applied a heuristic optimization algorithm to improve scheduling of quay cranes and yard trucks based on simulation outputs.
• Used simulation to evaluate various operational scenarios and identify bottlenecks in the terminal workflow.
• Optimized the sequence and allocation of resources to minimize ship service time while respecting operational constraints.
• Validated the model through iterative simulation runs and performance evaluation on key metrics such as ship turnaround time.

Experimental results

Research questions

• RQ1 To what extent can an integrated simulation-optimization model reduce ship service time in container terminals?
• RQ2 How effective is the proposed model in handling the NP-hard complexity of container terminal operations?
• RQ3 What is the impact of optimized resource scheduling on the overall turnaround time of container vessels?
• RQ4 Can the simulation model accurately reflect real-world operational dynamics at El-Dekheilla Port?
• RQ5 What improvements in operational efficiency can be achieved through coordinated scheduling of quay cranes and yard trucks?

Key findings

• The proposed simulation-optimization framework achieved a 51% reduction in ship service time (loading and unloading) at El-Dekheilla Port.
• The integrated model successfully captured the complexity of container terminal operations, including interactions between quay cranes, yard trucks, and storage areas.
• The optimization component significantly improved resource utilization and reduced idle times for key equipment.
• The simulation results demonstrated that coordinated scheduling leads to substantial time savings in vessel operations.
• The case study confirmed the model’s practical applicability and scalability to real-world port environments.
• The study provides a replicable framework for other container terminals seeking to reduce turnaround times through simulation and optimization.