Robust solutions to the pollution-routing problem with demand and travel time uncertainty

被引：59

作者：

Eshtehadi, Reza ^{[1
]}

Fathian, Mohammad ^{[1
]}

Demir, Emrah ^{[2
]}

机构：

[1] Iran Univ Sci & Technol, Sch Ind Engn, Tehran, Iran

[2] Cardiff Univ, Cardiff Business Sch, Panalpina Ctr Mfg & Logist Res, Cardiff CF10 3EU, S Glam, Wales

来源：

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT | 2017年 / 51卷

关键词：

Green vehicle routing; Freight transportation; Robust optimization; CO(2)e emissions; GREENHOUSE-GAS EMISSIONS; VEHICLE; OPTIMIZATION; TRANSPORTATION; ALGORITHM;

D O I：

10.1016/j.trd.2017.01.003

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Freight transportation activities could potentially lead to detrimental effects on the natural and built environments and pose health risks. The importance of the present study is to consider demand and travel time uncertainty in green transport planning by proposing several robust optimization techniques; soft worst case, hard worst case and chance constraints. These techniques provide the most reliable solutions with very limited increase in the objective function related to fuel consumption and CO2-equivalent emissions. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：351 / 363

页数：13

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