EFP-GA: An Extended Fuzzy Programming Model and a Genetic Algorithm for Management of the Integrated Hub Location and Revenue Model under Uncertainty
The aviation industry is one of the most widely used applications in transportation. Due to the limited capacity of aircraft, revenue management in this industry is of high significance. On the other hand, the hub location problem has been considered to facilitate the demands assignment to hubs. Thi...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2022/7801188 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832558289066393600 |
|---|---|
| author | Yaser Rouzpeykar Roya Soltani Mohammad Ali Afashr Kazemi |
| author_facet | Yaser Rouzpeykar Roya Soltani Mohammad Ali Afashr Kazemi |
| author_sort | Yaser Rouzpeykar |
| collection | DOAJ |
| description | The aviation industry is one of the most widely used applications in transportation. Due to the limited capacity of aircraft, revenue management in this industry is of high significance. On the other hand, the hub location problem has been considered to facilitate the demands assignment to hubs. This paper presents an integrated p-hub location and revenue management problem under uncertain demand to maximize net revenue and minimize total cost, including hub establishment and transportation costs. A fuzzy programming model and a genetic algorithm are developed to solve the proposed model with different sizes. The mining and petroleum industry is used for case studies. Results show that the proposed algorithm can obtain a suitable solution in a reasonable amount of time. |
| format | Article |
| id | doaj-art-0ae8d3503b8b4654b70adb16c625bc4a |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-0ae8d3503b8b4654b70adb16c625bc4a2025-02-03T01:32:36ZengWileyComplexity1099-05262022-01-01202210.1155/2022/7801188EFP-GA: An Extended Fuzzy Programming Model and a Genetic Algorithm for Management of the Integrated Hub Location and Revenue Model under UncertaintyYaser Rouzpeykar0Roya Soltani1Mohammad Ali Afashr Kazemi2Department of Industrial EngineeringDepartment of Industrial EngineeringDepartment of Industrial and Information Technology ManagementThe aviation industry is one of the most widely used applications in transportation. Due to the limited capacity of aircraft, revenue management in this industry is of high significance. On the other hand, the hub location problem has been considered to facilitate the demands assignment to hubs. This paper presents an integrated p-hub location and revenue management problem under uncertain demand to maximize net revenue and minimize total cost, including hub establishment and transportation costs. A fuzzy programming model and a genetic algorithm are developed to solve the proposed model with different sizes. The mining and petroleum industry is used for case studies. Results show that the proposed algorithm can obtain a suitable solution in a reasonable amount of time.http://dx.doi.org/10.1155/2022/7801188 |
| spellingShingle | Yaser Rouzpeykar Roya Soltani Mohammad Ali Afashr Kazemi EFP-GA: An Extended Fuzzy Programming Model and a Genetic Algorithm for Management of the Integrated Hub Location and Revenue Model under Uncertainty Complexity |
| title | EFP-GA: An Extended Fuzzy Programming Model and a Genetic Algorithm for Management of the Integrated Hub Location and Revenue Model under Uncertainty |
| title_full | EFP-GA: An Extended Fuzzy Programming Model and a Genetic Algorithm for Management of the Integrated Hub Location and Revenue Model under Uncertainty |
| title_fullStr | EFP-GA: An Extended Fuzzy Programming Model and a Genetic Algorithm for Management of the Integrated Hub Location and Revenue Model under Uncertainty |
| title_full_unstemmed | EFP-GA: An Extended Fuzzy Programming Model and a Genetic Algorithm for Management of the Integrated Hub Location and Revenue Model under Uncertainty |
| title_short | EFP-GA: An Extended Fuzzy Programming Model and a Genetic Algorithm for Management of the Integrated Hub Location and Revenue Model under Uncertainty |
| title_sort | efp ga an extended fuzzy programming model and a genetic algorithm for management of the integrated hub location and revenue model under uncertainty |
| url | http://dx.doi.org/10.1155/2022/7801188 |
| work_keys_str_mv | AT yaserrouzpeykar efpgaanextendedfuzzyprogrammingmodelandageneticalgorithmformanagementoftheintegratedhublocationandrevenuemodelunderuncertainty AT royasoltani efpgaanextendedfuzzyprogrammingmodelandageneticalgorithmformanagementoftheintegratedhublocationandrevenuemodelunderuncertainty AT mohammadaliafashrkazemi efpgaanextendedfuzzyprogrammingmodelandageneticalgorithmformanagementoftheintegratedhublocationandrevenuemodelunderuncertainty |