robust and sustainable full-shipload routing and scheduling problem considering variable speed: a real case study

This paper presents a sustainable multi-objective routing and scheduling problem for maritime transportation considering ship's variable speeds under uncertainty. the proposed model is aimed at satisfying three separate dimensions of sustainability including economic, environmental, and social simultaneously while finding the best routes and schedule for each ship. the first objective is aimed at meeting economic goals by minimizing shipping cost. the second objective concerns the social dimension of sustainability by maximizing job creation and opportunities with respect to the number of intransitive workers in ships and ports. the third one concerns the minimization of co2 emission to address the environmental issue. several test problems are applied to validate the proposed model, and sensitivity analysis is used to demonstrate the effects of the model's parameters on the objective function value. augmented ꜫ-constraint is implemented as a solution method to solve the multi-objective mathematical model. this is the first ship routing and scheduling paper, and it has considered three aspects of sustainability under uncertainty solved by augmented ꜫ-constraint. to solve the large-sized model, factual input data from a real case study are considered. computational results show significant positive managerial effects.