Vulnerability assessment and re-routing of freight trains under disruptions: A coal supply chain network application

被引：60

作者：

Gedik, Ridvan ^{[1
]}

Medal, Hugh ^{[2
]}

Rainwater, Chase ^{[1
]}

Pohl, Ed A. ^{[1
]}

Mason, Scott J. ^{[3
]}

机构：

[1] Univ Arkansas, Dept Ind Engn, Fayetteville, AR 72701 USA

[2] Mississippi State Univ, Mississippi State, MS 39762 USA

[3] Clemson Univ, Dept Ind Engn, Clemson, SC 29631 USA

来源：

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW | 2014年 / 71卷

关键词：

Network interdiction; Rail transportation; Bi-level optimization; Supply chain optimization; MANAGEMENT; OPTIMIZATION;

D O I：

10.1016/j.tre.2014.06.017

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

In this paper, we present a two-stage mixed integer programming (MW) interdiction model in which an interdictor chooses a limited amount of elements to attack first on a given network, and then an operator dispatches trains through the residual network. Our MIP model explicitly incorporates discrete unit flows of trains on the rail network with time-variant capacities. A real coal rail transportation network is used in order to generate scenarios to provide tactical and operational level vulnerability assessment analysis including rerouting decisions, travel and delay costs analysis, and the frequency of interdictions of facilities for the dynamic rail system. (C) 2014 Published by Elsevier Ltd.

引用

页码：45 / 57

页数：13

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