چكيده به لاتين
Since the purchase of rolling stock is very costly and is a part of a long-term investment, the rolling stock circulation has become an important issue for rail operators. Significant costs for the operation of rolling stock, including maintenance and repair costs, and the supply of tensile force (electric or diesel), which are directly linked to the paved distance, are of great importance. Another important concern in the planning of rolling stock is the provision of convenient services to passengers, which increases the revenue and stability of the rolling stock. In this regard, in order to achieve better coordination between existing rolling stock and passenger demand, the train arrangement can usually be changed at several stations by coupling or uncoupling different parts that involve shanting costs. Therefore, the rail operators must decide carefully on the type and number of vehicle designs for each scheduled trip. In this thesis, car assignment problem has been investigated.
In this research, initially, the basic model of the problem is used to allocate appropriate number and circulation of carriages to the trips of the timetable of the Iranian Railways. Then, in order to improve adaptation of the conditions of mathematical modeling to real-world issues, the constraint of coupling and uncoupling of carriages is only considered in some stations. Then the uncertainty of the number of passenger demand - as one of the most important inputs of the problem- is considered in the modeling. In order to reduce the adverse effects of this parameter's uncertainty, modeling this problem is implemented using scenario-based probabilistic and robust approaches.
Finally, a case study of the Islamic Republic of Iran Railways has been used to examine the performance of the proposed models in definitive and uncertain situations and the results of the proposed models have been analyzed.
