In this study, ambulance location problem, which is a significant research field in transportation in healthcare, is focused on. It is assumed that travelling time of vehicles between two demand points is uncertain and this uncertainty is represented as a crisp and as well as convex set. In order to deal with this uncertainty, robust counterpart approach, which is capable of providing conservatism, is employed. According to results of the simulation process, which is designed for the sake of benchmarking robust and nominal solutions, it can be easily claimed that conservative robustness is able to be achieved with significantly sufferable costs, even with no costs in most of the scenarios, by the proposed model. Ultimately, since robustness is one of the most important keywords for sustainability, on which discussions can be found in several parts of the text, this chapter is concluded with the claim that, by the proposed model, sustainability of transportation in healthcare is enhanced based on the adopted problem.
In this study, ambulance location problem, which is a significant research field in transportation in healthcare, is focused on. It is assumed that travelling time of vehicles between two demand points is uncertain and this uncertainty is represented as a crisp and as well as convex set. In order to deal with this uncertainty, robust counterpart approach, which is capable of providing conservatism, is employed. According to results of the simulation process, which is designed for the sake of benchmarking robust and nominal solutions, it can be easily claimed that conservative robustness is able to be achieved with significantly sufferable costs, even with no costs in most of the scenarios, by the proposed model. Ultimately, since robustness is one of the most important keywords for sustainability, on which discussions can be found in several parts of the text, this chapter is concluded with the claim that, by the proposed model, sustainability of transportation in healthcare is enhanced based on the adopted problem.
Since decision on making an investment in exchange rate is one of the main problems faced by financial players acting in markets around the world, it is extensively discussed in the literature. In this study, it is investigated whether judgmental factors affect the decision in behavioral environment or not, and, if such an effect exists, its impact is whether positive or negative. In order to achieve that purpose, multi-criteria decision making approach is integrated with time series analysis approach which leads to clearly question the existence and direction of such an impact if it exists. The proposed model is applied to the Turkish market, indicating that judgmental factors prevent the financial player from misleading which is caused by considering solely profitability criterion. Thus, it is demonstrated that judgmental factors have a positive impact on the decision regarding exchange rate selection problem. Ultimately, it is demonstrated that the proposed integrated model provides accurate and reliable results.
In case of considerable traffic congestion in an airport, transportation of passengers to city centre may become a challenging task, since airports are generally located far from the centre. In this study, transportation of passengers, who arrive at an airport, to the city centre has been handled. A mathematical model has been developed, which minimises total costs arising from both, the time passed, while passengers are waiting for a vehicle, and the dispatching of a significant amount of vehicles for transporting the passengers. By utilising the proposed model, in addition to matter of when to dispatch, it is also possible to specify which type of vehicles, and how many of them should be dispatched at each time interval. Ultimately, it is reported that such a plan has a great potential to enhance the productivity.
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