چكيده به لاتين
The issue of integrated scheduling and sequencing operation of unloading and loading equipment in container ports has been one of the most important issues concerning time efficiency. In addition, with the emergence of green port concepts, the inclusion of environmental criteria has become one of the most important issues for planners in the field of energy efficiency, in recent years. Furthermore, due to the complexity and scope of activities of a container terminal, uncertainty in operational parameters such as transportation time, and ready time of jobs in the system are inevitable in this operational environment and have been another challenge for decision-making in planning models. Therefore in this thesis, in the first stage, three mathematical mixed integer programming models for scheduling and sequencing YTs in a synchronized manner with other equipment were developed which minimize the flow time of containers, energy, fuel usage, and emission. Due to utilizing YTs with different technical specifications, we were faced with a uniform parallel machine scheduling model, which, in addition to the characteristics of this classic problem, YTs specification and their emission level are the inputs of this model for estimating environmental criteria and also precedence relationship, sequence-dependent set up times and ready time as extra constraints were considered in this scheduling problem. In the next stage, due to the inevitability of uncertainty in operational parameters, three robust possibilistic multiobjective mixed integer programming models were proposed. Afterwards, to solve the models and find non-dominated Pareto optimal solutions the ε-Constraint is used, however, regarding NP-hardness of the problem two proposed NSGA-II and MOPSO metaheuristic algorithms were used to identify near-optimal non-dominated solutions by finding acceptable results in a reasonable time. Finally, the performance of the model in deterministic and non-deterministic modes was compared, evaluated and analyzed based on the data collected from Shahid Rajaee port. Considering that in the current situation, there is no quantitative assessment of the environmental impact of YTs operations, the suggested models not only offer an optimal operation sequence but also provide a quantitative estimation of these criteria to the planners, in addition to minimizing them. The results show that in comparison with the current Single-crane oriented approach, the use of this model led to an improvement in reducing energy by 9%, emission of pollutants by 8%, fuel consumption by 28% and flow time of containers by 8%. Furthermore a realization model was proposed to investigate and test the obtained reults from non-deterministic in a real situation.
