Hub network design problems with profits

•New class of hub network design problems with profit-oriented objectives.•Potential applications in the design of air and ground transportation networks.•Simultaneous optimization of collected profit, setup cost of hub network and transportation cost.•Alternative models and integer programming form...

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Vydáno v:Transportation research. Part E, Logistics and transportation review Ročník 96; s. 40 - 59
Hlavní autoři: Alibeyg, Armaghan, Contreras, Ivan, Fernández, Elena
Médium: Journal Article Publikace
Jazyk:angličtina
Vydáno: Elsevier India Pvt Ltd 01.12.2016
Témata:
65 Numerical analysis
65K Mathematical programming, optimization and variational techniques
90 Operations research, mathematical programming
90C Mathematical programming
Anàlisi numèrica
Classificació AMS
Discrete location
Grounds
Hub location
Hub network design
Integer programming
Investigació operativa
Logistics
Matemàtiques i estadística
Networks
Numerical analysis
Optimization
Profits
Programació (Matemàtica)
Programming (Mathematics)
Transportation
Transportation models
Transportation networks
Àrees temàtiques de la UPC
Profits
Hub network design
Discrete location
Hub location
ISSN:1366-5545, 1878-5794
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Popis
Shrnutí:•New class of hub network design problems with profit-oriented objectives.•Potential applications in the design of air and ground transportation networks.•Simultaneous optimization of collected profit, setup cost of hub network and transportation cost.•Alternative models and integer programming formulations proposed and analyzed.•Results from computational tests highlight the superiority for these models for decision-making. This paper presents a class of hub network design problems with profit-oriented objectives, which extend several families of classical hub location problems. Potential applications arise in the design of air and ground transportation networks. These problems include decisions on the origin/destination nodes that will be served as well as the activation of different types of edges, and consider the simultaneous optimization of the collected profit, setup cost of the hub network and transportation cost. Alternative models and integer programming formulations are proposed and analyzed. Results from computational experiments show the complexity of such models and highlight their superiority for decision-making.
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ISSN:1366-5545
1878-5794
DOI:10.1016/j.tre.2016.09.008