Robust optimization models for network revenue management
| buir.advisor | Pınar, Mustafa Ç. | |
| dc.contributor.author | Bahtiyar, İrem | |
| dc.date.accessioned | 2024-07-26T05:29:29Z | |
| dc.date.available | 2024-07-26T05:29:29Z | |
| dc.date.copyright | 2024-07 | |
| dc.date.issued | 2024-07 | |
| dc.date.submitted | 2024-07-23 | |
| dc.description | Cataloged from PDF version of article. | |
| dc.description | Thesis (Master's): Bilkent University, Department of Industrial Engineering, İhsan Doğramacı Bilkent University, 2024. | |
| dc.description | Includes bibliographical references (leaves 111-113). | |
| dc.description.abstract | Effective capacity allocation methods play a crucial role in Network Revenue Management. Yet, current methods for determining optimal capacity controls under uncertainty, such as stochastic optimization, often assume a known probability distribution for unknown parameters. This assumption may degrade a model’s performance when faced with unexpected data patterns. This thesis explores a novel approach through robust optimization to address stochastic resource allocation problems. We introduce a heuristic based on these robust formulations to derive actionable results. Through extensive simulations focused on seat allocation problems within the revenue management domain, our proposed formulations demonstrate improved worst-case performances. Notably, even under favorable scenarios, our solutions remain comparable to existing methods in the revenue management literature. | |
| dc.description.provenance | Submitted by Betül Özen (ozen@bilkent.edu.tr) on 2024-07-26T05:29:29Z No. of bitstreams: 1 B019243.pdf: 959149 bytes, checksum: b7ca0731da58ea2fcb39bb210c267655 (MD5) | en |
| dc.description.provenance | Made available in DSpace on 2024-07-26T05:29:29Z (GMT). No. of bitstreams: 1 B019243.pdf: 959149 bytes, checksum: b7ca0731da58ea2fcb39bb210c267655 (MD5) Previous issue date: 2024-07 | en |
| dc.description.statementofresponsibility | by İrem Bahtiyar | |
| dc.format.extent | xiv, 130 leaves : charts ; 30 cm. | |
| dc.identifier.itemid | B019243 | |
| dc.identifier.uri | https://hdl.handle.net/11693/115459 | |
| dc.language.iso | English | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Robust optimization | |
| dc.subject | Network revenue management | |
| dc.subject | Capacity allocation | |
| dc.title | Robust optimization models for network revenue management | |
| dc.title.alternative | Ağ gelir yönetimi için sağlamcı optimizasyon modelleri | |
| dc.type | Thesis | |
| thesis.degree.discipline | Industrial Engineering | |
| thesis.degree.grantor | Bilkent University | |
| thesis.degree.level | Master's | |
| thesis.degree.name | MS (Master of Science) |