A Simple Auction for Early Delivery of High-Demand Products

dc.contributor.advisorDr. Michael Young, Committee Memberen_US
dc.contributor.advisorDr. Munindar Singh, Committee Memberen_US
dc.contributor.advisorDr. Peter Wurman, Committee Chairen_US
dc.contributor.authorKorrapati, Sameeren_US
dc.date.accessioned2010-04-02T18:03:22Z
dc.date.available2010-04-02T18:03:22Z
dc.date.issued2004-11-01en_US
dc.degree.disciplineComputer Scienceen_US
dc.degree.levelthesisen_US
dc.degree.nameMSen_US
dc.descriptionNorth Carolina State University Theses Computer Science.
dc.description.abstractCompanies face an important challenge in deciding the allocation and pricing of high-demand products when they can supply them only in limited quantities, especially during initial releases. Instead of traditional means, letting free market mechanisms like auctions solve this problem can lead to more efficient outcomes. The Generalized Vickrey Auction (GVA) occupies a prominent place in auction theory because of its allocative efficiency and incentive properties. But implementing the GVA requires the auctioneer to solve n + 1 optimization problems, where n is the number of bidders. Moreover, it also requires complete information revelation by bidders, which can be a severe constraint in a real world application. Iterative auctions have been identified as a good alternative for practical implementations, though sometimes trading practicality with efficiency. We present a simple iterative auction that lets companies efficiently price and allocate limited quantities of high-demand goods. Self-interested and myopic agents can participate in a distributed manner in this online auction. We consider a supply of multiple units of heterogeneous goods under unit demand by agents that have private valuations. Because of its iterative nature, our auction computes the efficient outcome with very little information revelation from the agents. We show that this outcome is efficient and has incentive compatibility properties, like the GVA, under certain assumptions about the agent valuations. Our simulations have shown that the mechanism converges quickly to the equilibrium and collects relatively little information from the agents.en_US
dc.formatThesis (M.S.)--North Carolina State University.
dc.identifier.otheretd-10112004-114857en_US
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.16/1349
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectMechanism Designen_US
dc.titleA Simple Auction for Early Delivery of High-Demand Productsen_US
dcterms.abstractKeywords: Mechanism Design.
dcterms.extent1 volume in various pagings : illustrations (some color)

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