A robust multiobjective model for the integrated berth and quay crane scheduling problem at seaside container terminals

Abstract The ever increasing demand for container transportation has led to the congestion of maritime terminals in world. In this work, two interrelated problems berth and quay crane scheduling are considered an integrated multiobjective mathematical model. A special character model is that arrival times vessels failure (working) cranes not deterministic can vary based on some scenarios. Hence, a robust devised problem having three objectives minimising deviations from target berthing locations as well departure delays all vessels. This optimisation seeks minimise value regarding An exact solution approach ???? -constraint method by Gurobi software applied. Moreover, complexity problem, Simulated Annealing (SA) metaheuristics, namely Multi-Objective (MOSA) Pareto (PSA) adapted with novel encoding scheme. methods compared metrics statistical test. advantage integration examined well.