Reliable single-allocation hub location problem with disruptions

被引：66

作者：

Mohammadi, Mehrdad ^{[1
]}

Jula, Payman ^{[2
]}

Tavakkoh-Moghaddam, Reza ^{[3
,4
]}

机构：

[1] UBL, Lab STICC, IMT Atlantique, F-29238 Brest, France

[2] Simon Fraser Univ, Beedie Sch Business, Vancouver, BC, Canada

[3] Univ Tehran, Coll Engn, Sch Ind Engn, Tehran, Iran

[4] LCFC, Arts & Metiers ParisTech, Metz, France

来源：

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW | 2019年 / 123卷

关键词：

Hub location problem; Disruption; Congestion; Multi-objective optimization; Hybrid metaheuristics; EPSILON-CONSTRAINT METHOD; FACILITY LOCATION; NETWORK DESIGN; GENETIC ALGORITHM; SPOKE NETWORKS; SUPPLY CHAIN; MODELS; TRANSPORTATION; CONGESTION; SEARCH;

D O I：

10.1016/j.tre.2019.01.008

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Hub transportation networks are vulnerable to uncertainties such as natural disasters or terrorist attacks. We investigate the single-allocation p-hub location problems and the effect of uncertainties on deliveries. We introduce a bi-objective reliable capacitated p-hub location model considering hubs and links uncertainties to minimize both the total cost and the maximum transportation time. An efficient approximation approach is proposed to provide a lower bound for the optimal Pareto-frontier. We develop a new hybrid meta-heuristic algorithm to solve the model to near optimality. Our modelling and analysis of France transportation network shows that cost and delivery performance could be significantly improved.

引用

页码：90 / 120

页数：31

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