Dynamic pricing for perishable products using reinforcement learning
Rana, Rupal (2011) Dynamic pricing for perishable products using reinforcement learning. PhD thesis, University of Warwick.Full text not available from this repository.
Official URL: http://webcat.warwick.ac.uk/record=b2521738~S15
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|
|Official Date:||February 2011|
|Institution:||University of Warwick|
|Theses Department:||Warwick Business School|
|Extent:||iv, 117 leaves : ill., charts|
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