This paper considers a joint tactical planning problem for the number of ships, the planned maximum sailing speed, and the liner service schedule in order to simultaneously optimize the expected cost, the service reliability and the shipping emission in the presence of port time uncertainty. The problem is formulated into a stochastic multi-objective optimization problem at the operational level. The relationships between the objectives and the decision variables are established. A simulation-based non-dominated sorting genetic algorithm is then presented to solve this problem. A case study is provided to illustrate the results and the application of the model.
Multi-objective optimization for planning liner shipping service with uncertain port times
2015
Article (Journal)
English
Minimizing fuel emissions by optimizing vessel schedules in liner shipping with uncertain port times
Online Contents | 2012
|Optimization in liner shipping
Springer Verlag | 2018
|Liner shipping networks, port characteristics and the impact on port performance
Springer Verlag | 2017
|Liner shipping cargo allocation with service levels and speed optimization
Online Contents | 2015
|