科研之友
微信
新浪微博
Facebook
分享链接
摘要
This paper proposes an optimization approach for sizing port rail networks and planning railway shunting operations by adopting a discrete-time model of the overall system. First, a mixed-integer linear mathematical programming problem is defined in order to optimize shunting operations to be performed on the considered network by satisfying certain arrivals and departures of import and export flows. Moreover, the proposed procedure can be used to evaluate the capacity of a port rail network, in terms of maximum number of trains that can be managed over a certain time horizon, and to carry out what-if analyses aimed at testing different scenarios. The effectiveness of the proposed approach is shown by applying the optimization problem to a real case study referred to the port rail network of La Spezia Container Terminal located in Northern Italy. A computational analysis realized by varying the dimension and complexity of the problem instances is also reported in this paper to discuss the computational performance of the proposed model. Note to Practitioners-This paper addresses the problem of planning shunting operations and sizing rail networks in seaports. This problem is faced by defining a dynamical model and an associated optimization problem, in which the movements of rail cars inside a port rail network are described, both for the import and the export flow. In the considered problem, many important and realistic aspects are modeled in detail, such as arrivals and departures of scheduled trains, sharing of locomotives among different areas of the network, number and capacity of different resources in the system, and so on. In this paper, the application to a real case study of an Italian port rail network is discussed, showing the effectiveness of the proposed methodology. Thanks to the general approach provided in this paper, this planning procedure could be applied to other real cases worldwide.
- 出版日期2016-10
