Bi-Objective Vehicle Routing for Hazardous Materials Transportation With No Vehicles Travelling in Echelon

被引:51
作者
Wang, Nengmin [1 ,2 ]
Zhang, Meng [1 ]
Che, Ada [3 ]
Jiang, Bin [4 ]
机构
[1] Xi An Jiao Tong Univ, Sch Management, Xian 710049, Shaanxi, Peoples R China
[2] Xi An Jiao Tong Univ, Minist Educ Proc Control & Efficiency Engn, Key Lab, Xian 710049, Shaanxi, Peoples R China
[3] Northwestern Polytech Univ, Sch Management, Xian 710072, Shaanxi, Peoples R China
[4] DePaul Univ, Dept Management, Driehaus Coll Business, Chicago, IL 60604 USA
基金
中国国家自然科学基金;
关键词
Hazardous materials transportation; vehicle routing problem; bi-objective optimization; e-constraint method; two-stage algorithm; EPSILON-CONSTRAINT METHOD; DECISION-SUPPORT-SYSTEM; HAZMAT TRANSPORTATION; DURATION CONSTRAINTS; SCHEDULING PROBLEM; TIME WINDOWS; OPTIMIZATION; DELIVERIES; ALGORITHM; ACCIDENTS;
D O I
10.1109/TITS.2017.2742600
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
As a by-product of industrial development, large quantities of hazardous materials are shipped in the transportation network every day. The risk of transporting hazardous materials is an important consideration in transportation planning. Vehicle routing models in previous studies simultaneously minimized the transportation cost and the total risk. However, simply evaluating the total risk of a fleet as a whole does not consider each individual vehicle's risk. Even if the total risk is low, the risk of a specific vehicle may still be very high. In addition, the situation of several vehicles of a logistics company shipping hazardous materials and travelling on the same road together, called vehicles travelling in echelon, may cause a chain of incidents. This situation has been ignored in previous studies. In this paper, a bi-objective vehicle routing model for hazardous materials transportation with no vehicles travelling in echelon is developed, simultaneously minimizing the maximum risk of each vehicle and the transportation cost. A two-stage exact algorithm is developed based on the e-constraint method with several improvements to solve the proposed problem. An approximation approach is proposed for this two-stage algorithm for large-scale problems. Furthermore, the approximation ratio and time complexity of this approximation algorithm are analyzed. Computational experiments with randomly generated instances are reported, and several managerial insights are derived from the sensitivity analysis.
引用
收藏
页码:1867 / 1879
页数:13
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[1]   A bi-objective time-dependent vehicle routing and scheduling problem for hazardous materials distribution [J].
Androutsopoulos, Konstantinos N. ;
Zografos, Konstantinos G. .
EURO JOURNAL ON TRANSPORTATION AND LOGISTICS, 2012, 1 (1-2) :157-183
[2]  
[Anonymous], 1976, WORST CASE ANAL NEW
[3]   An exact ε-constraint method for bi-objective combinatorial optimization problems: Application to the Traveling Salesman Problem with Profits [J].
Berube, Jean-Francois ;
Gendreau, Michel ;
Potvin, Jean-Yves .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2009, 194 (01) :39-50
[4]   Improved bounds for vehicle routing solutions [J].
Bompadre, Agustin ;
Dror, Moshe ;
Orlin, James B. .
DISCRETE OPTIMIZATION, 2006, 3 (04) :299-316
[5]   The maximin HAZMAT routing problem [J].
Bronfman, Andres ;
Marianov, Vladimir ;
Paredes-Belmar, German ;
Lueer-Villagra, Armin .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2015, 241 (01) :15-27
[6]   Improved tabu search algorithm for the handling of route duration constraints in vehicle routing problems with time windows [J].
Cordeau, JF ;
Laporte, G ;
Mercier, A .
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2004, 55 (05) :542-546
[7]   The assessment of risk caused by domino effect in quantitative area risk analysis [J].
Cozzani, V ;
Gubinelli, G ;
Antonioni, G ;
Spadoni, G ;
Zanelli, S .
JOURNAL OF HAZARDOUS MATERIALS, 2005, 127 (1-3) :14-30
[8]   Quantitative assessment of domino scenarios by a GIS-based software tool [J].
Cozzani, Valerio ;
Antonioni, Giacomo ;
Spadom, Gighola .
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2006, 19 (05) :463-477
[9]   SOLUTION OF A LARGE-SCALE TRAVELING-SALESMAN PROBLEM [J].
DANTZIG, G ;
FULKERSON, R ;
JOHNSON, S .
JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF AMERICA, 1954, 2 (04) :393-410
[10]   Domino effect in chemical accidents: Main features and accident sequences [J].
Darbra, R. M. ;
Palacios, Adriana ;
Casal, Joaquim .
JOURNAL OF HAZARDOUS MATERIALS, 2010, 183 (1-3) :565-573