Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/799
DC FieldValueLanguage
dc.contributor.authorČvokić, Dimitrije D.en_US
dc.contributor.authorKochetov, Yury A.en_US
dc.contributor.authorPlyasunov, Aleksandr V.en_US
dc.contributor.authorSavić, Aleksandaren_US
dc.date.accessioned2022-08-15T15:47:44Z-
dc.date.available2022-08-15T15:47:44Z-
dc.date.issued2019-01-01-
dc.identifier.isbn9783030226282-
dc.identifier.issn03029743en
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/799-
dc.description.abstractTwo transportation companies want to enter the market and they are aware of each other. The objective for the both of competitors is to maximize their respective profits by finding the best hub and spoke networks and price structures. One company wants to establish r hubs and the other wants to establish p hubs. It is assumed that the customers choose the route by price and the logistic regression based model is used to estimate how the demand is shared. After setting their networks, the competing companies engage in the price war. We propose a new model for finding a Stackelberg strategy that includes a price game, as bi-level nonlinear mixed-integer program, called the (r|p) hub-centroid problem under the price war. It is shown that there is a unique finite Bertrand-Nash price equilibrium. On the basis of this result, we show the solution existence, propose a new equations for the best response pricing, and address the computational complexity of the problem. Finally, we discuss some possible future research directions that concern the solution approach and some other competitive scenarios that involve pricing.en
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.subjectBertrand price equilibriumen
dc.subjectComplexityen
dc.subjectHub locationen
dc.subjectLogit modelen
dc.subjectStackelberg strategyen
dc.titleThe competitive hub location under the price waren_US
dc.typeConference Paperen_US
dc.relation.publicationInternational Conference on Mathematical Optimization Theory and Operations Research MOTOR 2019: Mathematical Optimization Theory and Operations Researchen_US
dc.identifier.doi10.1007/978-3-030-22629-9_10-
dc.identifier.scopus2-s2.0-85067692841-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85067692841-
dc.contributor.affiliationNumerical Mathematics and Optimizationen_US
dc.relation.firstpage133en_US
dc.relation.lastpage146en_US
dc.relation.volume11548 LNCSen_US
item.fulltextNo Fulltext-
item.openairetypeConference Paper-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.deptNumerical Mathematics and Optimization-
crisitem.author.orcid0009-0003-8568-4260-
Appears in Collections:Research outputs
Show simple item record

SCOPUSTM   
Citations

5
checked on Nov 8, 2024

Page view(s)

14
checked on Nov 15, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.