Stochastic facility location problem in a competitive situation: A game theory model for emergency financial services
Facility location problems under conditions of uncertainty involve various situations, such as industrial plants, warehouses, distribution centers, and emergency services (ambulances, police cars). Because of this relevant matter, researchers have developed many mathematical optimization models that...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2020-01-01
|
| Series: | Cogent Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/23311916.2020.1837411 |
| _version_ | 1827845094864060416 |
|---|---|
| author | Eder Oliveira Abensur Alexandre da Silva Paes Erick Reyann Kasai Yamada Vito Ruggieri Walquiria Alves de Aquino |
| author_facet | Eder Oliveira Abensur Alexandre da Silva Paes Erick Reyann Kasai Yamada Vito Ruggieri Walquiria Alves de Aquino |
| author_sort | Eder Oliveira Abensur |
| collection | DOAJ |
| description | Facility location problems under conditions of uncertainty involve various situations, such as industrial plants, warehouses, distribution centers, and emergency services (ambulances, police cars). Because of this relevant matter, researchers have developed many mathematical optimization models that aim to establish a balance between costs and the quality of the services provided over recent decades. By and large, these proposals consider stochastic characteristics associated with demand uncertainty and the facilities’ availability. Since there is a lack of studies examining emergency financial services, we think of managing this kind of service in a competitive situation combining Game Theory and computer simulation. In addition to the usual stochastic conditions, this study introduces the use of a Nash equilibrium model that also incorporates uncertainties related to the actions of competitors applied to a dispute between two insurers as to where to locate their home insurance assistance bases. The focal point concept combined the results of a non-zero-sum game with those of the stochastic location model to define an unconventional strategy for the analyzed situation. The developed mathematical model provided more realistic location strategies compared to those obtained using traditional location models. |
| first_indexed | 2024-03-12T08:52:33Z |
| format | Article |
| id | doaj.art-1579d8c6cac54f1484213bb3a8ca2aae |
| institution | Directory Open Access Journal |
| issn | 2331-1916 |
| language | English |
| last_indexed | 2024-03-12T08:52:33Z |
| publishDate | 2020-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Engineering |
| spelling | doaj.art-1579d8c6cac54f1484213bb3a8ca2aae2023-09-02T16:14:51ZengTaylor & Francis GroupCogent Engineering2331-19162020-01-017110.1080/23311916.2020.18374111837411Stochastic facility location problem in a competitive situation: A game theory model for emergency financial servicesEder Oliveira Abensur0Alexandre da Silva Paes1Erick Reyann Kasai Yamada2Vito Ruggieri3Walquiria Alves de Aquino4Universidade Federal Do ABCUniversidade Federal Do ABCUniversidade Federal Do ABCUniversidade Federal Do ABCUniversidade Federal Do ABCFacility location problems under conditions of uncertainty involve various situations, such as industrial plants, warehouses, distribution centers, and emergency services (ambulances, police cars). Because of this relevant matter, researchers have developed many mathematical optimization models that aim to establish a balance between costs and the quality of the services provided over recent decades. By and large, these proposals consider stochastic characteristics associated with demand uncertainty and the facilities’ availability. Since there is a lack of studies examining emergency financial services, we think of managing this kind of service in a competitive situation combining Game Theory and computer simulation. In addition to the usual stochastic conditions, this study introduces the use of a Nash equilibrium model that also incorporates uncertainties related to the actions of competitors applied to a dispute between two insurers as to where to locate their home insurance assistance bases. The focal point concept combined the results of a non-zero-sum game with those of the stochastic location model to define an unconventional strategy for the analyzed situation. The developed mathematical model provided more realistic location strategies compared to those obtained using traditional location models.http://dx.doi.org/10.1080/23311916.2020.1837411computer simulationfacility locationgame theorymathematical model |
| spellingShingle | Eder Oliveira Abensur Alexandre da Silva Paes Erick Reyann Kasai Yamada Vito Ruggieri Walquiria Alves de Aquino Stochastic facility location problem in a competitive situation: A game theory model for emergency financial services Cogent Engineering computer simulation facility location game theory mathematical model |
| title | Stochastic facility location problem in a competitive situation: A game theory model for emergency financial services |
| title_full | Stochastic facility location problem in a competitive situation: A game theory model for emergency financial services |
| title_fullStr | Stochastic facility location problem in a competitive situation: A game theory model for emergency financial services |
| title_full_unstemmed | Stochastic facility location problem in a competitive situation: A game theory model for emergency financial services |
| title_short | Stochastic facility location problem in a competitive situation: A game theory model for emergency financial services |
| title_sort | stochastic facility location problem in a competitive situation a game theory model for emergency financial services |
| topic | computer simulation facility location game theory mathematical model |
| url | http://dx.doi.org/10.1080/23311916.2020.1837411 |
| work_keys_str_mv | AT ederoliveiraabensur stochasticfacilitylocationprobleminacompetitivesituationagametheorymodelforemergencyfinancialservices AT alexandredasilvapaes stochasticfacilitylocationprobleminacompetitivesituationagametheorymodelforemergencyfinancialservices AT erickreyannkasaiyamada stochasticfacilitylocationprobleminacompetitivesituationagametheorymodelforemergencyfinancialservices AT vitoruggieri stochasticfacilitylocationprobleminacompetitivesituationagametheorymodelforemergencyfinancialservices AT walquiriaalvesdeaquino stochasticfacilitylocationprobleminacompetitivesituationagametheorymodelforemergencyfinancialservices |