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
收藏
页码：90 / 120
页数：31
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