Perspectives on modeling hub location problems

Alumur, Sibel A.; Campbell, James F.; Contreras, Ivan; Kara, Bahar Y.; Marianov, Vladimir; O’Kelly, Morton E.

doi:10.1016/j.ejor.2020.09.039

Cited by 121 publications

(44 citation statements)

References 185 publications

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“…The overall approach contributed to the study of the spatial dimension in complex and multilayer networks and provided insights into the spatial structure of the GCSN maritime market. Especially the identification of transcalar nodes is an addition to the literature on hub theory 73 , as it demonstrates that such nodes dominate through their ability to connect all traffic scales, compared with recent studies of the GCSN only focusing on topology 74 . The directional decay over distance is another new finding, which can serve as a benchmark to study any other domain subject to asymmetrical relationships, from trade imbalance to empty container repositioning and power structures in social and firms networks.…”

Section: Discussionmentioning

confidence: 99%

Measuring the effect of distance on the network topology of the Global Container Shipping Network

Tsiotas

Ducruet

2021

Sci Rep

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This paper examines how spatial distance affects network topology on empirical data concerning the Global Container Shipping Network (GCSN). The GCSN decomposes into 32 multiplex layers, defined at several spatial levels, by successively removing connections of smaller distances. This multilayer decomposition approach allows studying the topological properties of each layer as a function of distance. The analysis provides insights into the hierarchical structure and (importing and exporting) trade functionality of the GCSN, hub connectivity, several topological aspects, and the distinct role of China in the network’s structure. It also shows that bidirectional links decrease with distance, highlighting the importance of asymmetric functionality in carriers’ operations. It further configures six novel clusters of ports concerning their spatial coverage. Finally, it reveals three levels of geographical scale in the structure of GCSN (where the network topology significantly changes): the neighborhood (local connectivity); the scale of international connectivity (mesoscale or middle connectivity); and the intercontinental market (large scale connectivity). The overall approach provides a methodological framework for analyzing network topology as a function of distance, highlights the spatial dimension in complex and multilayer networks, and provides insights into the spatial structure of the GCSN, which is the most important market of the global maritime economy.

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Section: Discussionmentioning

confidence: 99%

Measuring the effect of distance on the network topology of the Global Container Shipping Network

Tsiotas

Ducruet

2021

Sci Rep

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“…After O'kelly, several modeling efforts and solution methods have been presented in the literature. To learn more about the various models of the hub location and classification review of that kind of problems, you can see Alumur et al (2020) research.…”

Section: Introductionmentioning

confidence: 99%

Integrated hub location and flow processing schedule problem under renewable capacity constraint

Rostami

Jabbarzadeh

2021

Comp. Appl. Math.

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Transport and logistics networks are more complex than ever before. Complex networks and limitation of available capacities make flow processing schedule (FPS) a challenging problem to ensure customer satisfaction and profitability. This paper addresses an integrated hub location and flow processing schedule problem (HLFPSP) to determine hub locations, the allocated traffic flows and the optimal FPS at hubs under capacity constraints. Specifically, in an air transport network, the optimal FPS leads to optimal flight scheduling. The problem is formulated as a mixed-integer linear programming (MILP) model to minimize total tardiness costs (at operational level) and hub construction costs (at strategic level), simultaneously. The developed model is utilized to solve small-size hub location-scheduling problems. To provide a good solution in a reasonable time, the Lagrangian relaxation algorithm is employed. Based on the data from 80 airports in Turkey, the application of problem in real world is showed and the efficiency of the proposed solution methods is evaluated. Finally, a number of sensitivity analyses and managerial insights are provided to enrich the computational results.

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“…(2013), Contreras and O'Kelly (2019), and Alumur et al. (2021) for recent surveys on hub location problems.…”

Section: Introductionmentioning

confidence: 99%

On hub location problems in geographically flexible networks

Blanco

Puerto

2021

Int Trans Operational Res

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In this paper, we propose an extension of the uncapacitated hub location problem where the potential positions of the hubs are not fixed in advance. Instead, they are allowed to belong to a region around an initial discrete set of nodes. We give a general framework in which the collection, transportation, and distribution costs are based on norm‐based distances and the hub‐activation setup costs depend not only on the location of the hub that are opened but also on the size of the region where they are placed. Two alternative mathematical programming formulations are proposed. The first one is a compact formulation while the second one involves a family of constraints of exponential size that we separate efficiently giving rise to a branch‐and‐cut algorithm. The results of an extensive computational experience are reported showing the advantages of each of the approaches.

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Perspectives on modeling hub location problems

Cited by 121 publications

References 185 publications

Measuring the effect of distance on the network topology of the Global Container Shipping Network

Measuring the effect of distance on the network topology of the Global Container Shipping Network

Integrated hub location and flow processing schedule problem under renewable capacity constraint

On hub location problems in geographically flexible networks

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