نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشگاه آزاد اسلامی، واحد تهران جنوب، دانشکده مهندسی صنایع
2 استاد دانشکده مهندسی صنایع، پردیس دانشکده های فنی، دانشگاه تهران
3 دانشگاه آزاد اسلامی، واحد کرج، گروه مهندسی صنایع،
4 دانشکده مهندسی صنایع، پردیس دانشکدههای فنی، دانشگاه تهران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
A train makeup problem (TMP) is one of the important stages of transportation planning in the rail network, which determines the type and frequency of train movements in order to ship the cargoes efficiently. Based on an optimal plan, the TMP specifies how to allocate shipments to scheduled trains. In this process of planning, there are different constraints that are considered in this paper as follows: diversity and capacity of trains, capacity of railways, customer satisfaction and expectations of custodians and railway network officials in terms of income and expenses. In addition, the constraints of the existing stations in the railway network, including the capacity of shunting yard (i.e., classification yard) and lines for the reception and dispatching the trains are added. The TMP is inherently a multi-objective model that aims at achieving multiple goals, such as distribution of pressure in stations according to the balance plan, boosting the profitability, increasing customer satisfaction, optimal transmitting in a railway network and optimal utilization of fleet capacity. Furthermore, a new TMP model integrated a routing problem with the ability of lost demands is presented. Goal programming and Lp metric methods are used for the multi-objective problem and a number of test problems are generated and solved by GAMS software. The results show the capability of the proposed model and the efficiency of the method used to solve a real life problem in the rail network.
کلیدواژهها [English]