Dissertations / Theses on the topic 'Revenue'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 dissertations / theses for your research on the topic 'Revenue.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.
Berestovska, Yu. "Analysis of tax revenues as the basis of budget revenue." Master's thesis, Сумський державний університет, 2020. https://essuir.sumdu.edu.ua/handle/123456789/81809.
Full textFreeman, Michelle S. "Revenue Recognition." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etsu-works/5777.
Full textZickus, 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.
Full textShioda, Romy 1977. "Restaurant revenue management." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/28250.
Full textIncludes bibliographical references (p. 59-60).
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 operation of a restaurant that does not accept reservations. In a computational study with simulated data, we show that optimization based methods enhance revenle relative to the industry practice of FCFS by 0.11% to 2.22% for low load factors, by 0.16% to 2.96% for medium load factors, and by 7.65% to 13.13% for high load factors, without increasing and occasionally decreasing waiting times compared to FCFS. The second class of models addresses reservations. We propose a two step procedure: use a stochastic gradient algorithm to decide a priori how many reservations to accept for a future time and then use approximate dynamic programming methods to decide dynamically when, if at all, to seat an incoming party during the day of operation. In a computational study involving real data from an Atlanta restaurant, the reservation model improves revenue relative to FCFS by 3.5% for low load factors and 7.3% for high load factors.
by Romy Shioda.
S.M.
Dobler, Michael. "Rethinking revenue recognition." Inderscience Publishers, 2008. https://tud.qucosa.de/id/qucosa%3A36452.
Full textHao, 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.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 109-110).
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 over $8 billion in ancillary revenue in 2012. Ancillary revenue poses challenges for airlines, including revenue management (RM) and distribution since total revenue maximization requires consideration of ancillary revenue and ticket revenue. In this thesis, we: (1) describe trends contributing to the movement towards ancillary revenue; (2) present three methods for incorporating ancillary revenue into revenue management and distribution; (3) evaluate the revenue performance of these methods using the Passenger Origin Destination Simulator (PODS), a competitive airline simulator. One method of including ancillary revenue into RM is RM Input Adjustment with Class Level Estimates, which involves modifying input fares to the optimizer. Because fare values to the optimizer are aggregated by market and class, the airline uses class level estimates of ancillary revenue potential to augment fares. Another method involves modifying the fare value at the time of availability control, or Availability Fare Adjustment. In network optimization, the availability fare refers to the fare used to compare an itinerary-class to the control mechanism, like displacement adjusted virtual nesting (DAVN) or additive bid price (ProBP). Availability Fare Adjustment with Class Level Estimates also involves using class level estimates of ancillary revenue. Alternatively, we test scenarios where the airline estimates ancillary revenue for individual passengers in Customized Availability Fare Adjustment with Passenger Specific Estimates. Although this type of estimation is not feasible yet, results from Customized Availability Adjustment give a theoretical bound to revenue gain. We nd that incorporating ancillary revenue opens availability for lower yield passengers. Revenue increases occur from extra bookings in these classes because more bookings are taken. Revenue losses occur from higher class passengers buying down to cheaper seats. Without willingness to pay (WTP) forecasting, net revenue losses of up to {2.6% are observed. In advanced RM systems with WTP forecasting, revenue gains of +0.6% are observed for Class Level RM Input Adjustment, +0.9% for Class Level Availability Fare Adjustment, and +2.6% for Passenger Specific Customized Availability Adjustment.
by Eric Hao.
S.M. in Transportation
Leuhusen, Fredrik Carl Axel Peter. "Why Revenue Diversification Matters." Thesis, University of Pennsylvania, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10286178.
Full textRevenue diversification is a term that becomes more relevant as higher education institutions are confronted with increased regulation, competition, declining enrollments, and strained finances. A challenge that many institutions face is that expenditures are higher than revenues and increase faster than them. The term Revenue diversification seems obvious to higher education administration professionals, although they do not all define it the same way. For that reason, it needs a precise definition so that the industry genuinely can embrace the concept and thereby seek to generate more revenues to drive existing and innovative agendas. Indeed, a common understanding will allow universities to develop strategies to reduce the reliance on traditional tuition and fees. The study examines three not-for-profit institutions with a student population less than 5,000 that already are diversifying their revenue streams. The definition of leadership at each institution is compared with the strategies that have been implemented or proposed in order to understand whether there is alignment. The three cases—Stevenson University, Franklin & Marshall College, and Oglethorpe University—respectively have the following story lines: 1) growth is the only possibility; 2) the current situation is one of stasis, and the way forward is unclear; 3) efforts must be undertaken to improve financial viability. In addition to the qualitative research, the study also encompasses an analysis of IPEDS that reflects how each institution is changing its revenues in comparison to a similarly situated group of institutions. The findings reveal that Revenue diversification is on everybody’s mind, but the definition of the term is inconclusive. Leadership teams are trying to determine what revenue-diversification strategies will work for the institutions and its stakeholders to be able to offset expense increases. Identifying new revenue sources will entail pursuing non-historical revenue sources, which includes academic programs, services, property, institutional advancement, and more. The higher education environment is concerning to many of its member institutions, and by diversifying revenues, long-term viability can be secured.
Ciocan, Dragos Florin. "High dimensional revenue management." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/108211.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 149-153).
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 interesting in their own right in the areas of stochastic optimization, high dimensional learning and distributed optimization. In the first part of the thesis, we propose a model predictive control approach to combat volatile demand. This approach is conceptually simple, uses available demand data in a natural way, and, most importantly, can be shown to generate significant revenue advantages on real-world data from ad networks. Under mild restrictions, we prove that our algorithm achieves uniform relative performance guarantees vis-a-vis a clairvoyant in the face of arbitrary volatility, while simultaneously being optimal in the event that volatility is negligible. This is the first result of its kind for model predictive control. While our approach above is effective at hedging demand shocks that occur over "large" time horizons, it relies on the ability to estimate snapshots of the prevailing demand distribution over "short" time horizons. The second part of the thesis deals with learning the extremely high dimensional demand distributions that are typical in display advertising applications. This work exploits the special structure of the display advertising version of the NRM problem to achieve a sample complexity that scales gracefully in the dimensions of the problem. The third part of the thesis focuses on the problem of solving terabyte sized LPs on an hourly basis given a distributed computational infrastructure; solving these massive LPs is the computational primitive required to make our model predictive control approach practical. Here we design a linear optimization algorithm that fits a paradigm for distributed computation referred to as 'Map-Reduce'. An implementation of our solver in a shared memory environment where we can benchmark against solvers such as CPLEX shows that the algorithm outperforms those solvers on the types of LPs that an ad network would have to solve in practice.
by Dragos Florin Ciocan.
Ph. D.
Uichanco, Joline Ann Villaranda. "Data-driven revenue management." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41728.
Full textIncludes bibliographical references (p. 125-127).
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 model. If the explicit demand distribution is known, then the exact solutions to these models can be found either analytically or numerically via simulation methods. However, in most real-life settings, the demand distribution is not available, and usually there is only historical demand data from past periods. Thus, data-driven approaches are appealing in solving these problems. In this thesis, we evaluate the theoretical and empirical performance of nonparametric and parametric approaches for solving the variants of the newsvendor model assuming partial information on the distribution. For the classical profit-maximization newsvendor model and the risk-averse newsvendor model we describe general non-parametric approaches that do not make any prior assumption on the true demand distribution. We extend and significantly improve previous theoretical bounds on the number of samples required to guarantee with high probability that the data-driven approach provides a near-optimal solution. By near-optimal we mean that the approximate solution performs arbitrarily close to the optimal solution that is computed with respect to the true demand distributions.
(cont.) For the price-setting newsvendor problem, we analyze a previously proposed simulation-based approach for a linear-additive demand model, and again derive bounds on the number of samples required to ensure that the simulation-based approach provides a near-optimal solution. We also perform computational experiments to analyze the empirical performance of these data-driven approaches.
by Joline Ann Villaranda Uichanco.
S.M.
Veselová, Erika. "Modely sieťového revenue manažmentu." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-165297.
Full textSkyba, 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.
Full textGithiri, Duncan. "Airline revenue management performance measurement of South African Airways origin-destination revenue management." Thesis, Rhodes University, 2017. http://hdl.handle.net/10962/59188.
Full textBrown, Donald. "The efficacy of earmarking revenues do dedicated revenue streams provide stability for transportation funding? /." CONNECT TO ELECTRONIC THESIS, 2007. http://dspace.wrlc.org/handle/1961/4243.
Full textĎurica, 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.
Full textSymonds, Matthew L. "The impact of division II revenue and non-revenue sport participation on student engagement." Diss., Columbia, Mo. : University of Missouri-Columbia, 2006. http://hdl.handle.net/10355/4341.
Full textThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on August 8, 2007) Includes bibliographical references.
Martens, Tobias von. "Kundenwertorientiertes Revenue-Management im Dienstleistungsbereich." Wiesbaden : Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-9503-2.
Full textDefregger, Florian. "Revenue management for manufacturing companies /." kostenfrei, 2009. http://deposit.d-nb.de/cgi-bin/dokserv?idn=997408154.
Full textChen, Lijian. "Stochastic programming in revenue management." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1150314352.
Full text林錦泉 and Kam-chuen Kenneth Lam. "Forecasting revenue from dutiable goods." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B3197739X.
Full textHo, Shu-wah, and 何樹華. "Non-fare revenue in transport." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31945491.
Full textMascagni, Giulia. "Tax revenue mobilisation in Ethiopia." Thesis, University of Sussex, 2014. http://sro.sussex.ac.uk/id/eprint/51654/.
Full textThraves, Cortés-Monroy Charles Mark. "New applications in Revenue Management." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112085.
Full textCataloged from PDF version of thesis.
Includes bibliographical references.
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 data provider. We estimate unobserved data with parametric density functions in order to generate instances of the problem. We propose a mixed integer programming formulation for pricing. As the problem is hard to solve, we propose heuristics that make use of the MIP formulation together with intrinsic properties of the problem. Furthermore, we contrast this approach with a dynamic programming approach. Both methodologies outperform the current pricing strategy of the satellite provider, even assuming misspecifications in the assumptions made. Subsequently, we study how the government can encourage green technology adoption through a rebate to consumers. We model this setting as a Stackleberg game where firms interact in a price-setting competing newsvendor problem where the government gives a rebate to consumers in the first stage. We show the trade-off between social welfare when the government decides an adoption target instead of a utilitarian objective. Then, we study the impact of competition and demand uncertainty on the three agents involved: firms, government, and consumers. This thesis recognizes the need to measure consumers' welfare for multiple items under demand uncertainty. As a result, this thesis builds on existing theory in order to incorporate demand uncertainty in Consumer Surplus. In many settings, produced quantities might not meet the realized demand at a given market price. This comes as an obstacle in the computation of consumer surplus. To address this, we define the concept of an allocation rule. In addition, we study the impact of uncertainty on consumers for different demand noise (additive and multiplicative) and for various allocation rules.
by Charles Mark Thraves Cortés-Monroy.
Ph. D.
Konig, Matthias. "Risk considerations in revenue management." Thesis, Lancaster University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.547943.
Full textMartens, Tobias von. "Kundenwertorientiertes Revenue-Management im Dienstleistungsbereich." Wiesbaden Gabler, 2008. http://d-nb.info/992494346/04.
Full textHo, Shu-wah. "Non-fare revenue in transport." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B23569712.
Full textLam, Kam-chuen Kenneth. "Forecasting revenue from dutiable goods." [Hong Kong : University of Hong Kong], 1993. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13787524.
Full textShields, Devan J. "Revenue Recovery Through Meter Replacement." DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/1111.
Full textPembleton, Christopher James. "Creating Revenue Diversification Among Nonprofits." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/5245.
Full textMichel, Alyona. "Airline alliance revenue management : improving joint revenues through partner sharing of flight leg opportunity costs." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/78147.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 125-128).
Airlines participating in alliances offer code share itineraries (with flight segments operated by different partners) to expand the range of origin-destination combinations offered to passengers, thus increasing market share at little cost. The presence of code share flights presents a problem for airline revenue management (RM) systems, which aim to maximize revenues in an airline's network by determining which booking requests are accepted. Because partners do not jointly optimize revenues on code share flights, alliance revenue gains from implementing advanced RM methods may be lower than an individual airline's gains. This thesis examines seat availability control methods that alliance partners can adopt to improve the total revenues of the alliance without formally merging. Partners share information about the opportunity costs to their network, called "bid prices", of selling a seat on their own flight leg, a mechanism termed bid price sharing (BPS). Results show that BPS methods often improve revenues and work best for networks with certain characteristics and partners with similar RM systems that exchange recently calculated bid prices as often as possible. Gains are typically only achieved if both alliance partners participate in the code share availability decision (called dual control) rather than one partner only, but implementation of dual control is more difficult for airlines in practice. In the best case scenario, gains of up to .40% where achieved, which can translate into $120 million per year for the largest airlines. In our simulations, BPS with dual control and frequent bid price calculation and exchange was the only method that produced consistently positive revenue gains in all the scenarios tested. Therefore, alliance airlines must consider the trade off between revenue gains and implementation difficulties of more frequent bid price exchange or dual control.
by Alyona Michel.
S.M.in Transportation
Cherry, Phillip Warren. "A projection of motor fuel tax revenue and analysis of alternative revenue sources in Georgia." Thesis, Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43679.
Full textShan, Liang. "Revenue Risk Management for P3 Highway Projects: Implementation of Revenue Guarantees in the U.S. Market." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/38600.
Full textPh. D.
Schmidt, Henning. "Simultaneous control of demand and supply in revenue management with flexible capacity." Clausthal-Zellerfeld Papierflieger, 2009. http://d-nb.info/993813461/04.
Full textPopescu, 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/.
Full textDr. 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
Mohaupt, Michael. "Forschungsansatz zur Unsicherheitsproblematik im Revenue Management." Universitätsbibliothek Chemnitz, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-70707.
Full textPak, 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.
Full textCooper, William L. "Revenue management, auctions, and perishable inventories." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/25805.
Full textWang, Jingbo. "Estimation and optimization in revenue management." Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.522810.
Full textWiedermann-Ondrej, Nadine. "Tax Treatment of Revenue Based Payments." SFB International Tax Coordination, WU Vienna University of Economics and Business, 2007. http://epub.wu.ac.at/182/1/document.pdf.
Full textSeries: Discussion Papers SFB International Tax Coordination
Armar, Nii A. "Cargo revenue management for space logistics." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/62971.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 79-82).
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 is based on bid-pricing with high-frequency price adjustments. The algorithms were implemented in Java as a plugin module to SpaceNet 2.0, an existing integrated modeling and simulation tool for space logistics. The module was tested on a lunar exploration concept which emphasizes global exploration of the Moon using mobile infrastructure. Results suggest that revenue management produces better capacity allocations in shorter duration missions, while producing nominal capacity allocations (i.e. those in the deterministic case) in the long run.
by Nii A. Armar.
S.M.
Mak, Chung Yu. "Revenue impacts of airline yield management." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/26838.
Full textFry, Daniel G. "Demand driven dispatch and revenue management." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99548.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 149-152).
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 reassignment of aircraft to flights close to departure to improve operating profitability. Previous studies on demand driven dispatch have not incorporated competition and have typically ignored or significantly simplified revenue management. All simulations in this thesis use the PODS simulator, where stochastic demand by market chooses between competing airlines with alternative paths and fare products whose availability is determined by industry-typical revenue management systems. Demand driven dispatch (D³) is tested with a variety of methods and objectives, including a bookings-based method that assigns the largest aircraft to the flights with the highest forecasted demands. More sophisticated methods include revenue- and profit-maximizing fleet optimizations that directly use the output of leg-based and network-based RM systems and a minimum-cost flow specification. D³ is then tested with a variety of aircraft swap timings, RM systems, and competitive scenarios. Sensitivity testing is performed at a variety of demand levels, demand variability levels, and with an optimized static fleet assignment. Findings include important competitive feedbacks from D³, relationships between D³ and both revenue management and pricing, and important nuances to D³'s relationship with the level and variability of demand. Depending on how it is implemented, D³ may harm competitor airlines more than it aids the implementer. Early swaps in D³ lead to heavy dilution. Late swaps lead to smaller increases in loads but substantial increases in revenue. The relationship between revenue-maximization and cost-minimization in profit-maximizing D³ is highly influenced by the timing of swaps, revenue estimation, and demand levels. Finally, early swaps are susceptible to high variability of demand while late swaps are more robust. Findings indicate that the benefits of D³ can be estimated at operating profit gains of 0.04% to 2.03%, revenue gains of 0.02% to 0.88%, and changes in operating costs of -0.08% to 0.13%.
by Daniel G. Fry.
S.M. in Transportation
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.
Full textMojžíšová, Michaela. "Revenue assurance: metodologie pro zajištění příjmů." Doctoral thesis, Vysoká škola ekonomická v Praze, 2006. http://www.nusl.cz/ntk/nusl-776.
Full textFilipová, Michaela. "Revenue assurance: metodologie pro zajištění příjmů." Doctoral thesis, Vysoká škola ekonomická v Praze, 2006. http://www.nusl.cz/ntk/nusl-77288.
Full textHolubec, Jakub. "Využití revenue managementu v ubytovacích zařízeních." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-136279.
Full textFarias, Vivek Francis. "Revenue management beyond "estimate, the optimize" /." May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.
Full textJudd, Joshua Scott. "Auditor Industry Specialization and Revenue Manipulation." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/577330.
Full textBarocio, Cots Ruben 1970. "Revenue management under demand driven dispatch." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/9481.
Full textIncludes bibliographical references (leaves 129-131).
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 during the booking horizon of the pool of flights being considered in the type assignment model. This approach has been shown to produce a 1% to 5% improvement in operating profits when compared to the static fleet assignment currently practiced by airlines. In our work we formalize and explore the necessary interaction between a revenue management model and the fleet assignment decisions that the airline must make under the Demand Driven Dispatch operational mode. Based on our findings. we produce a set of alternate algorithms for dynamic fleet type reassignment which significantly reduces the number of fleet assignment problems that must be solved during the booking horizon of the pool of flights being considered. Using demand data from a major U.S. airline, we simulate both the traditional algorithms used for dynamic fleet reassignment and the alternate algorithms developed in this thesis. Our results show that it is indeed possible to delay the first fleet assignment decision that the airline must make, thus reducing the number of fleet assignment problems that must be solved. Further, we show that our approach can even outperforms the traditional Demand Driven Dispatch algorithms both in terms of revenues and in terms of passenger loads, by integrating the delayed fleet assignment decision with the revenue management process.
by Ruben Barocio Cots.
S.M.
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.
Full textMcCutcheon, Bruce E. "Effectiveness of a marketing model designed to increase attendance and revenue capabilities for non-revenue athletic programs." The Ohio State University, 1988. http://rave.ohiolink.edu/etdc/view?acc_num=osu1249059846.
Full text