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Dynamic pricing for perishable products using reinforcement learning

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Rana, Rupal (2011) Dynamic pricing for perishable products using reinforcement learning. PhD thesis, University of Warwick.

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Official URL: http://webcat.warwick.ac.uk/record=b2521738~S15

Abstract

Revenue management is one of the successful applications of operations research. The area of revenue management we are concerned with, in this thesis is dynamic pricing. More specifically, we are concerned with establishing a pricing policy that maximises the revenue for a fixed number of products or services in a finite selling horizon. The characteristics of the industries considered are, the full inventory of items is available for sale at the beginning of the selling period, no re-ordering is allowed, and the items unsold by the deadline have a constant salvage value of zero.

Item Type: Thesis or Dissertation (PhD)
Subjects: H Social Sciences > HF Commerce
Library of Congress Subject Headings (LCSH): Revenue management, Pricing
Date: February 2011
Institution: University of Warwick
Theses Department: Warwick Business School
Thesis Type: PhD
Publication Status: Unpublished
Supervisor(s)/Advisor: Oliveira, Fernando
Extent: iv, 117 leaves : ill., charts
Language: eng
URI: http://wrap.warwick.ac.uk/id/eprint/36855

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