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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 孔令傑(Ling-Chieh Kung) | |
| dc.contributor.author | Kai-Hsiang Huang | en |
| dc.contributor.author | 黃楷翔 | zh_TW |
| dc.date.accessioned | 2022-11-23T09:14:56Z | - |
| dc.date.available | 2021-11-08 | |
| dc.date.available | 2022-11-23T09:14:56Z | - |
| dc.date.copyright | 2021-11-08 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-08-03 | |
| dc.identifier.citation | Aydin, N., S. I. Birbil. 2018. Decomposition methods for dynamic room allocation in hotel revenue management. European Journal of Operational Research 271 179–192. Belobaba, P. P. 1987. Survey paper—Airline yield management an overview of seat inventory control. Transportation Science 21(2) 63–73. Belobaba, P. P. 1989. OR practice—Application of a probabilistic decision model to airline seat inventory control. Operations Research 37(2) 183–197. Birbil, S. I., J. B. G. Frenk, J. A. S. Gromicho, S. Zhang. 2014. A network airline revenue management framework based on decomposition by origins and destinations. Transportation Science 48 313–333. Bitran, G. R., S. V. Mondschein. 1995. An application of yield management to the hotel industry considering multiple day stays. Operations Research 43(3) 427–443. Chiu, W. L. 2019. Booking control policy of a hotel with multiple room levels: Theoretical model and case study. Master’s thesis, National Taiwan University. Gallego, G., C. Stefanescu. 2009. Upgrades, upsells and pricing in revenue management. Kimes, S. E. 2011. The future of hotel revenue management. Journal of Revenue and Pricing Management 10 62–72. Klein, R., S. Koch, C. Steinhardt, A. K. Strauss. 2020. A review of revenue management: Recent generalizations and advances in industry applications. European Journal of Operational Research 284 397–412. McCaffrey, D., D. Walczak. 2016. Optimal dynamic upgrading in revenue management. Production and Operations Management 25(11) 1855–1865. McGill, J. I., G. J. Van Ryzin. 1999. Revenue management: Research overview and prospects. Transportation Science 33(2) 233–256. Steinhardt, C., J. Gönsch. 2012. Integrated revenue management approaches for capacity control with planned upgrades. European Journal of Operational Research 223 380– 391. Strauss, A. K., R. Klein, C. Steinhardt. 2018. A review of choice-based revenue management: Theory and methods. European Journal of Operational Research 271 375–387. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/79877 | - |
| dc.description.abstract | 預定控制為收益管理的主要策略之一，特別是對於飯店業、航空業與汽車租賃業這類出租資產給予消費者以賺取利潤的行業。基於這些行業供給固定、服務具有時效性以及未來需求具有不確定性的特性，以預訂控制的策略來挑選更具價值的消費者訂單是一項重要的收益管理策略，同時也能有效地應對因供給彈性不足而造成供需不匹配的問題。 本文探討考慮升級之多房型多服務期的飯店預訂控制問題。在我們的問題中，旅行社會一次預訂多日多種房型的多個房間並要求折扣；而散客則視為每一個接單期間收到的隨機需求，不要求折扣。本研究主要目標為對於旅行社進行適當的預定控制策略，以最大化總預期收益。基於此問題需要一連串的決策，且每一期的決策會影響到未來所有決策，我們提出了動態規劃模型以求此問題的最佳解。然而因多日多種房型所導致的高複雜度，使得該動態規劃模型無法在實務上可接受的時間內找到最佳解。因此我們提出了四種啟發式演算法，以便能較有效率地求得近似解，並透過數值實驗比較這四種演算法，提供在不同情境下的預定控制決策建議。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-23T09:14:56Z (GMT). No. of bitstreams: 1 U0001-3107202115343400.pdf: 1553725 bytes, checksum: d6d3107d5676a92e38d9c62656865ec3 (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | List of Figures v List of Tables vii 1 Introduction 1 1.1 Background and motivation 1 1.2 Research objectives 3 1.3 Research plan 4 2 Literature Review 5 3 Problem Description and Formulation 9 3.1 Problem description 9 3.2 Dynamic programming model formulation 11 4 Myopic Policies 19 4.1 Naïve policy assuming deterministic demand 19 4.1.1 The basic idea 19 4.1.2 The upgrade problem 21 4.2 Naïve policy assuming stochastic demand 27 4.2.1 The basic idea 27 4.2.2 The upgrade problem 28 4.3 Adjusted policies 29 4.3.1 Adjusted policy assuming deterministic demand 29 4.3.2 Adjusted policy assuming stochastic demand 31 5 Numerical Experiments 33 5.1 Experiment settings 33 5.2 Experiment results 36 5.2.1 Analysis of acceptance decisions 36 5.2.2 Analysis of performances 38 5.2.3 Analysis of time efficiency 43 5.3 An alternative distribution of individual customers 44 5.3.1 Analysis of acceptance decisions 45 5.3.2 Analysis of performances 46 5.3.3 Analysis of efficiency 47 6 Conclusions 53 A Results of Numerical Experiments 55 A.1 Results under the geometric distribution 55 A.2 Results under the Poisson distribution 62 Bibliography 69 | |
| dc.language.iso | en | |
| dc.subject | 飯店預定控制問題 | zh_TW |
| dc.subject | 需求不確定性 | zh_TW |
| dc.subject | 啟發式演算法 | zh_TW |
| dc.subject | 動態規劃 | zh_TW |
| dc.subject | 多服務期 | zh_TW |
| dc.subject | hotel booking control | en |
| dc.subject | multiple service periods | en |
| dc.subject | dynamic programming | en |
| dc.subject | heuristic algorithms | en |
| dc.subject | demand uncertainty | en |
| dc.title | 考慮升級之多房型飯店之多服務期預訂控制 | zh_TW |
| dc.title | "Hotel Booking Control with Multiple Room Types, Upgrades, and Multiple Service Periods" | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 李家岩(Hsin-Tsai Liu),黃奎隆(Chih-Yang Tseng) | |
| dc.subject.keyword | 飯店預定控制問題,多服務期,動態規劃,啟發式演算法,需求不確定性, | zh_TW |
| dc.subject.keyword | hotel booking control,multiple service periods,dynamic programming,heuristic algorithms,demand uncertainty, | en |
| dc.relation.page | 70 | |
| dc.identifier.doi | 10.6342/NTU202101963 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2021-08-05 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 資訊管理學研究所 | zh_TW |
| 顯示於系所單位： | 資訊管理學系 | |
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| 檔案 | 大小 | 格式 | |
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| U0001-3107202115343400.pdf | 1.52 MB | Adobe PDF | 檢視/開啟 |
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