A new model for simultaneously optimizing ship route, sailing speed, and fuel consumption in a shipping problem under different price scenarios

In recent years, most liner shipping companies have encountered problems in the area of bunkering and fuel price fluctuation. They consider these costs as major operating expenditures in maritime transportation. So, reducing fuel consumption has attracted attention in the shipping industry. The optimization of a ship's fuel consumption can reduce bunkering expenditure, energy consumption, and the effects of CO2. Due to competitive conditions and uncertainties in such issues, an integrated survey of shipping deployment, routing, sailing speed and bunkering optimization is necessary. There are various models in the literature but they do not consider all these factors together. In this study, a shipping optimization problem makes an integrated decision about routing, sailing speed, and bunkering policy under fuel price uncertainty. So, we developed a scenario-based stochastic linear integer programming model. The results show that the proposed model can reduce the total costs in conjunction with providing reasonable speed and route optimization decisions.