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Tesis sobre el tema "Revenue management"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 25 de julio de 2025

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1

Shioda, Romy 1977. "Restaurant revenue management." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/28250.

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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2002.<br>Includes bibliographical references (p. 59-60).<br>We develop two classes of optimization models in order to maximize revenue in a restaurant, while controlling average waiting time as well as perceived fairness, that may violate the first-come-first-serve (FCFS) rule. In the first class of models, we use integer programming, stochastic programming and approximate dynamic programming methods to decide dynamically when, if at all, to seat an incoming party during the day of ope

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2

Ciocan, Dragos Florin. "High dimensional revenue management." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/108211.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 149-153).<br>We present potential solutions to several problems that arise in making revenue management (RM) practical for online advertising and related modern applications. Principally, RM solutions for these problems must contend with (i) highly volatile demand processes that are hard to forecast, and (ii) massive scale that makes even basic optimization problems challenging. Our solutions to these problems are intere

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3

Uichanco, Joline Ann Villaranda. "Data-driven revenue management." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41728.

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Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2007.<br>Includes bibliographical references (p. 125-127).<br>In this thesis, we consider the classical newsvendor model and various important extensions. We do not assume that the demand distribution is known, rather the only information available is a set of independent samples drawn from the demand distribution. In particular, the variants of the model we consider are: the classical profit-maximization newsvendor model, the risk-averse newsvendor model and the price-setting newsvendor mode

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4

Githiri, Duncan. "Airline revenue management performance measurement of South African Airways origin-destination revenue management." Thesis, Rhodes University, 2017. http://hdl.handle.net/10962/59188.

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Revenue Management (RM) in the airline industry is the practise of selling fixed capacity as a service over a finite time horizon. The market is characterised by the customers’ willingness to pay different prices for the service. This creates the opportunity to target different customer segments and use price differential to attain the optimal passenger fare mix to maximise revenue. The aim is to maximise revenue and an airline can expect revenue increase of between 3 to 7 percent with the successful implementation of a Revenue Management system. The question of whether the revenue increase ca

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5

Zickus, Jeffrey S. (Jeffrey Stuart) 1973. "Forecasting for airline network revenue management : revenue and competitive impacts." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/10103.

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6

Martens, Tobias von. "Kundenwertorientiertes Revenue-Management im Dienstleistungsbereich." Wiesbaden : Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-9503-2.

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7

Defregger, Florian. "Revenue management for manufacturing companies /." kostenfrei, 2009. http://deposit.d-nb.de/cgi-bin/dokserv?idn=997408154.

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8

Chen, Lijian. "Stochastic programming in revenue management." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1150314352.

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9

Thraves, Cortés-Monroy Charles Mark. "New applications in Revenue Management." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112085.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references.<br>Revenue Management (RM) is an area with important advances in theory and practice in the last thirty years. This thesis presents three different new applications in RM with a focus on: the firms' perspective, the government's perspective as a policy maker, and the consumers' perspective (in terms of welfare). In this thesis, we first present a two-part tariff pricing problem faced by a satellite

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10

Konig, Matthias. "Risk considerations in revenue management." Thesis, Lancaster University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.547943.

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11

Martens, Tobias von. "Kundenwertorientiertes Revenue-Management im Dienstleistungsbereich." Wiesbaden Gabler, 2008. http://d-nb.info/992494346/04.

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12

Ďurica, Peter. "Revenue management a jeho využitie v hotelových prevádzkach." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-162376.

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The aim of the thesis is to introduce revenue management as complex managerial approach to hotel's revenue optimization with the case of Accor company. And, based on results of company's Prague's hotels analysis, suggest more effective revenue optimization solutions. To achieve this, the first chapter brings out theoretical knowledge of revenue management, its development, different approaches and tools of revenue optimization. Second chapter brings an insight to Accor company profile. The importance of revenue management for the company and practical cases of revenue optimization tools usage

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13

Skyba, Stanislav. "Využití renevue managementu k řízení ziskovosti letecké linky." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2017. http://www.nusl.cz/ntk/nusl-318134.

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Revenue Management (RM) is a process that is trying to understand, estimate and influence the behaviour of customers to maximize revenues. Constant development in the field of information and communication technology leads to the development of more efficient systems which boost decision-making in the revenue management. RM systems are based on 2 modules, prognostic and optimization. In order for both modules to provide the most accurate estimates and to find effective decisions on booking limits and prices, they need a huge amount of information on demand and other factors. The diploma thesis

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14

Popescu, Andreea. "Air cargo revenue and capacity management." Diss., Available online, Georgia Institute of Technology, 2006, 2006. http://etd.gatech.edu/theses/available/etd-11202006-095545/.

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Thesis (Ph. D.)--Industrial & Systems Engineering, Georgia Institute of Technology, 2007.<br>Dr. Dirk Gunther, Committee Member ; Dr. Hayriye Ayhan, Committee Member ; Dr. Ellis L. Johnson, Committee Chair ; Dr. Pinar Keskinocak, Committee Co-Chair ; Dr. Julie Swann, Committee Member

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15

Mohaupt, Michael. "Forschungsansatz zur Unsicherheitsproblematik im Revenue Management." Universitätsbibliothek Chemnitz, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-70707.

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Die effiziente Nutzung beschränkter Kapazitäten (z.B. Flugzeugplätze, Hotelzimmer) erweist sich für Anbieter als kritischer Erfolgsfaktor. Zur Steuerung der Buchungsanfragen wird daher Revenue Management angewandt. Um langfristig profitable Kundenbeziehungen aufzubauen, sollten auch kundenwertbezogene Informationen (den langfristigen Wert des Kunden für den Anbieter repräsentierend) einbezogen werden. In der Folge sieht sich der Anbieter vielen Unsicherheiten gegenüber. Da die Berücksichtigung von Unsicherheiten die Effizienz der Steuerungsentscheidungen und damit die Erlöshöhe beeinflusst, wi

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16

Pak, Kevin. "Revenue Management: New Features and Models." [Rotterdam]: Erasmus Research Institute of Management (ERIM), Erasmus University Rotterdam ; Rotterdam : Erasmus University Rotterdam [Host], 2005. http://hdl.handle.net/1765/6771.

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17

Cooper, William L. "Revenue management, auctions, and perishable inventories." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/25805.

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18

Wang, Jingbo. "Estimation and optimization in revenue management." Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.522810.

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19

Armar, Nii A. "Cargo revenue management for space logistics." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/62971.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2009.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 79-82).<br>This thesis covers the development of a framework for the application of revenue management, specifically capacity control, to space logistics for use in the optimization of mission cargo allocations, which in turn affect duration, infrastructure availability, and forward logistics. Two capacity control algorithms were developed; the first is based on partitioning of Monte Carlo samples while the second

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20

Mak, Chung Yu. "Revenue impacts of airline yield management." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/26838.

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21

Fry, Daniel G. "Demand driven dispatch and revenue management." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99548.

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Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2015.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 149-152).<br>The focus of this thesis is on the integration of and interplay between demand driven dispatch and revenue management in a competitive airline network environment. Demand driven dispatch is the reassignme

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22

Andersson, Karl, and Henrik Wittgren. "Restaurangbesökarens inställning till Restaurant Revenue Management." Thesis, Örebro universitet, Restaurang- och hotellhögskolan, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-51732.

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23

Farias, Vivek Francis. "Revenue management beyond "estimate, the optimize" /." May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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24

Barocio, Cots Ruben 1970. "Revenue management under demand driven dispatch." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/9481.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics; and (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1999.<br>Includes bibliographical references (leaves 129-131).<br>Demand Driven Dispatch is an operational mode by which airlines can dynamically reassign aircraft types of the same family but of differing capacities to better match capacity with demand in a profit maximizing way. Current algorithms for dynamic reassignment of aircraft types suggest that the nect assignment problem be solved repeatedly duri

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25

Hao, Eric (Eric C. ). "Ancillary revenues in the airline industry : impacts on revenue management and distribution systems." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/89854.

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Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2014.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 109-110).<br>Airlines have increasingly depended on ancillary revenue in response to rising fuel costs, de- creased yields, and an increasingly competitive environment. Estimates indicate that U.S. airlines collected

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26

Veselová, Erika. "Modely sieťového revenue manažmentu." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-165297.

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The progress in information and communication technologies, together with scientific pro-gress in economics, statistics and operational research, influenced the rapid development of process understanding, and estimation and prediction of customer demand, in real-time revenue management. The aim of this work was the detailed description of the essential principles to be included in the business strategy in order to maximize revenue. Network revenue management models seek to maximize revenue when customers buy products with multiple sources. This concept was applied to the example of the aviatio

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27

Forsman, Tomas, and Isak Lindstrand. "Restaurant Revenue Management : En studie om hur Revenue Management kan implementeras på restauranger för att öka lönsamhet." Thesis, Örebro universitet, Restaurang- och hotellhögskolan, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-61243.

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28

Schmidt, Henning. "Simultaneous control of demand and supply in revenue management with flexible capacity." Clausthal-Zellerfeld Papierflieger, 2009. http://d-nb.info/993813461/04.

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29

Holubec, Jakub. "Využití revenue managementu v ubytovacích zařízeních." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-136279.

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This diploma thesis discusses Revenue management as an operational approach to revenue maximization in the hotel industry. The main objective of this thesis is to assess Revenue management approaches of two Prague hotels based on the comparison with academic theory in the hotel industry. The opening part is focused on prerequisites and tools used in Revenue management. Further, new approaches are introduced as well as current trends that have emerged in the recent time. The closing chapter analyses Revenue management of the selected hotels, including technologies, segmentation, pricing and rat

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30

Barz, Christiane. "Risk-averse capacity control in revenue management." Berlin : Springer, 2007. http://dx.doi.org/10.1007/978-3-540-73014-9.

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31

Wong, Sau-lim Tim. "Airline revenue management passenger right and protection /." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B31633183.

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32

Terciyanli, Erman. "Alternative Mathematical Models For Revenue Management Problems." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12610711/index.pdf.

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In this study, the seat inventory control problem is considered for airline networks from the perspective of a risk-averse decision maker. In the revenue management literature, it is generally assumed that the decision makers are risk-neutral. Therefore, the expected revenue is maximized without taking the variability or any other risk factor into account. On the other hand, risk-sensitive approach provides us with more information about the behavior of the revenue. The risk measure we consider in this study is the probability that revenue is less than a predetermined threshold level. In the r

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33

Eroglu, Fatma Esra. "Service Models For Airline Revenue Management Problems." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613490/index.pdf.

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In this thesis, the seat inventory control problem is studied for airlines from the perspective of a risk-averse decision maker. There are only a few studies in the revenue management literature that consider the risk factor. Most of the studies aim at finding the optimal seat allocations while maximizing the expected revenue and do not take the variability of the revenue and hence a risk measure into account. This study aims to decrease the variance of the revenue by increasing the capacity utilization called load factor in the revenue management literature. In addition to expected revenue, l

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34

Chahar, Kiran. "Revenue and order management under demand uncertainty." Connect to this title online, 2008. http://etd.lib.clemson.edu/documents/1219855173/.

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35

Fernandes, A. T. "Spectrum management for revenue maximisation in DSL." Thesis, University of Cambridge, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.598991.

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Digital Subscriber Line technologies use existing telephone cables to provide high speed data communications. Spectrum Management in DSL is a set of policies to contain the damage caused by interference between modems. Current practice in Spectrum Management controls this damage by placing constraints on power and spectrum. But recent advances in research define the constraints directly in terms of data loss. The spectrum adopted by interferers is allowed to be much more flexible, as long as the data rate targets are respected. These technologies are collectively called <i>Dynamic Spectrum Man

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36

Strauss, Arne Karsten. "Optimisation in choice-based network revenue management." Thesis, Lancaster University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.543995.

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37

王守廉 and Sau-lim Tim Wong. "Airline revenue management: passenger right and protection." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B31633183.

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38

Charania, Aamer 1970. "Incorporating sell-up in airline revenue management." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/10105.

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39

Cusano, Andrew Jacob 1978. "Airline revenue management under alternative fare structures." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/26900.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2003.<br>Includes bibliographical references (leaves 119-120).<br>Airline revenue maximization consists of two main components: pricing and revenue management. Revenue management systems are used to control seat inventory given a forecasted demand to maximize revenues. Fare structures have been constructed by major network airlines to segment demand with multiple fare products and numerous restrictions, a practice known as differential pricing. The increasing presence of low-cost carriers with s

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40

Boer, Sanne Vincent de 1976. "Advances in airline revenue management and pricing." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/16926.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2003.<br>Includes bibliographical references (p. 160-168).<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>We propose new models and optimization methods for airline revenue management and pricing. In the first part of this thesis, we study the dynamic inventory control problem for a single flight under imperfect market segmentation, when customers book the lowest available class

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41

Bratu, Stephane (Stephane J.-C) 1970. "Network value concept in airline revenue management." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/9939.

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42

D'Huart, Olivier (Olivier Edouard Marie). "A competitive approach to airline revenue management." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/60708.

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Thesis (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2010.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis. Page 140 blank.<br>Includes bibliographical references (p. 137-139).<br>Since the 1980s, the airline industry has seen two major changes: Deregulation, which led to an increase in competition, and the development of revenue management systems. Paradoxically the reven

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43

Liu, Tieming Ph D. Massachusetts Institute of Technology. "Revenue management models in the manufacturing industry." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33736.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2005.<br>Includes bibliographical references (p. 107-110).<br>In recent years, many manufacturing companies have started exploring innovative revenue management technologies in an effort to improve their operations and ultimately their bottom lines. Methods such as differentiating customers based on their sensitivity to price and delays are employed by firms to increase their profits. These developments call for models that have the potential to radically improve supply chain efficiencies in m

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44

Remy, Detlev. "Revenue management in for-profit higher education." Thesis, University of Surrey, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665501.

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Higher education is influenced by social, cultural, economic and academic drivers (Knight, 2004). According to Marginson (2003) education is moving in the direction of marketization and is also becoming more profit-driven. Researching for-profit higher education, Fried and Hill (2009:37) state that "higher education is different from most goods in several ways". Nonetheless, for-profit higher education has to maintain its profitability to stay not only in a very competitive market but one in which external factors have a huge impact. One way to react to the changing landscape could be the appl

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45

Riedel, Silvia. "Forecast combination in revenue management demand forecasting." Thesis, Bournemouth University, 2008. http://eprints.bournemouth.ac.uk/9640/.

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The domain of multi level forecast combination is a challenging new domain containing a large potential for forecast improvements. This thesis presents a theoretical and experimental analysis of different types of forecast diversification on forecast error covariances and resulting combined forecast quality. Three types of diversification are used: (a) diversification concerning the level of learning (b) diversification of predefined parameter values and (c) the use of different forecast models. The diversification is carried out on forecasts of seasonal factor predictions in Revenue Managemen

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46

Yousef-Sibdari, Soheil. "Essays in Revenue Management and Dynamic Pricing." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/27127.

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In this dissertation, I study two topics in the context of revenue management. The First topic involves building a mathematical model to analyze the competition between many retailers who can change the price of their respective products in real time. I develop a game-theoretic model for the dynamic price competition where each retailer's objective is to maximize its own expected total revenue. I use the Nash equilibrium to predict market equilibrium and provide managerial insights into how each retailer should take into account its competitors' behavior when setting the price. The second top

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47

Bodea, Tudor Dan. "Choice-based revenue management a hotel perspective /." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24739.

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Thesis (Ph.D.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2008.<br>Committee Chair: Garrow, Laurie Anne; Committee Member: Castillo, Marco; Committee Member: Ferguson, Mark; Committee Member: McCarthy, Patrick; Committee Member: Meyer, Michael.

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48

Joshi, Kapil. "Modeling alternate strategies for airline revenue management." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000557.

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49

Becher, Michael. "Integrated capacity and price control in Revenue Management a fuzzy system approach." Wiesbaden Gabler, 2007. http://d-nb.info/986403490/04.

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Schröder, Anika. "Dynamic Pricing für parallele Flüge /." Clausthal-Zellerfeld : Papierflieger, 2008. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016710472&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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