Abstract
We consider a cost allocation problem arising from a hub network problem design. Finding an optimal hub network is NP-hard, so we start with a hub network that could be optimal or not. Our main objective is to divide the maintenance and/or building cost of such network among the nodes. We consider two cases. In the one-way flow case, we assume that the cost paid by a set of nodes depends only on the flow they send to other nodes (including nodes outside the set), but not on the flow they receive from nodes outside. In the two-way flow case, we assume that the cost paid by a set of nodes depends on the flow they send to other nodes (including nodes outside the set) and also on the flow they receive from nodes outside. In both cases, we study the core and the Shapley value of the corresponding cost game.
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Notes
Assume that you are from Spain but you are in Argentina. If you receive a phone call from Spain, some phone companies consider it as an international call. The cost of this international call is divided by your company into two parts. The people who phone you pay the cost of a local call (inside Spain) and you pay the difference between the cost of an international call and the cost of a local call.
A generalization would be to assume that these costs are given by another cost matrix \(C^{h}=\left( c_{ij}^{h}\right) _{i,j\in N}\) with \(c_{ij}^{h}\le c_{ij}\) for all \(i,j\in N\). In our case, \(C^{h}=\alpha C\).
These tables correct some irrelevant typos presented in Matsubayashi et al. (2005).
Due to the symmetry of the matrices, the fact that all flows are positive, and the low congestion rate, both the one-way case and two-way case give very similar values for the Shapley rule.
References
Alcalde-Unzu J, Gómez-Rúa M, Molis E (2015) Sharing the costs of cleaning a river: the upstream responsibility rule. Games Econ Behav 90:134–150
Alumur S, Kara BY (2008) Network hub allocation problems: the state of the art. Eur J Oper Res 190:1–21
Bailey J (1997) The economics of Internet interconnection agreements. In: McKnight L, Bailey J (eds) Internet economics. MIT Press, Cambridge, pp 115–168
Bergantiños G, Kar A (2010) On obligation rules for minimum cost spanning tree problems. Games Econ Behav 69:224–237
Bergantiños G, Gómez-Rúa M, Llorca N, Pulido M, Sánchez-Soriano J (2014) A new rule for source connection problems. Eur J Oper Res 234(3):780–788
Bogomolnaia A, Moulin H (2010) Sharing the cost of a minimal cost spanning tree: beyond the folk solution. Games Econ Behav 69(2):238–248
Bryan D, O’Kelly M (1999) Hub-and-spoke networks in air transportation: an analytical review. J Reg Sci 39(2):275–295
Dutta B, Mishra D (2012) Minimum cost arborescences. Games Econ Behav 74(1):120–143
Farahani RZ, Hekmatfar M, Arabani AB, Nikbakhsh E (2013) Hub location problems: a review of models, classification, solution techniques, and applications. Comput Ind Eng 64(4):1096–1109
Gillies D (1959) Solutions to general non-zero sum games, chapter 3. In: Tucker A, Luce R (eds) Contributions to the theory of games. Volume IV of annals of mathematics studies. Princeton, Princeton UP, pp 47–85
Greenfield D (2000) Europe’s virtual conundrum. Netw Mag 15:116–123
Guardiola LA, Meca A, Puerto J (2009) Production-inventory games: a new class of totally balanced combinatorial optimization games. Games Econ Behav 65(1):205–219. (Special Issue in Honor of Martin Shubik)
Helme M, Magnanti T (1989) Designing satellite communication networks by zero-one quadratic programming. Networks 19:427–450
Matsubayashi N, Umezawa M, Masuda Y, Nishino H (2005) A cost allocation problem arising in hub-spoke network systems. Eur J Oper Res 160:821–838
Moulin H (2014) Pricing traffic in a spanning network. Games Econ Behav 86:475–490
Perea F, Puerto J, Fernandez F (2009) Modeling cooperation on a class of distribution problems. Eur J Oper Res 198:726–733
Roni MS, Eksioglu SD, Cafferty KG, Jacobson JJ (2017) A multi-objective, hub-and-spoke model to design and manage biofuel supply chains. Ann Oper Res 249(1):351–380
Shapley LS (1953) A value for n-person games. In: Kuhn HK, Tucker A (eds) Contributions to the theory of games. Volume II of annals of mathematics studies. Princeton University Press, Princeton, pp 307–317
Shapley LS (1971) Cores of convex games. Int J Game Theory 1:11–26
Sim T, Lowe TJ, Thomas BW (2009) The stochastic-hub center problem with service-level constraints. Comput Oper Res 36(12):3166–3177
Skorin-Kapov D (1998) Hub network games. Networks 31:293–302
Skorin-Kapov D (2001) On cost allocation in hub-like networks. Ann Oper Res 106:63–78
Trudeau C (2012) A new stable and more responsible cost sharing solution for mcst problems. Games Econ Behav 75(1):402–412
Trudeau C, Vidal-Puga J (2017) On the set of extreme core allocations for minimal cost spanning tree problems. J Econ Theory 169:425–452
Wieberneit N (2008) Service network design for freight transportation: a review. OR Spectrum 30(1):77–112
Yang T-H (2009) Stochastic air freight hub location and flight routes planning. Appl Math Model 33(12):4424–4430
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This work is partially supported by research grants ECO2014-52616-R from the Spanish Ministerio de Economía y Competitividad, ECO2017-82241-R from the Spanish Ministerio de Economía, Industria y Competitividad, and ED431B 2019/34 from Xunta de Galicia.
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Bergantiños, G., Vidal-Puga, J. One-way and two-way cost allocation in hub network problems. OR Spectrum 42, 199–234 (2020). https://doi.org/10.1007/s00291-020-00573-1
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DOI: https://doi.org/10.1007/s00291-020-00573-1