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Price-setting newsvendor optimal policies with mean-variance criteria

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TitleInfo
Title
Price-setting newsvendor optimal policies with mean-variance criteria
Name (type = personal)
NamePart (type = family)
Rubio Herrero
NamePart (type = given)
Javier
NamePart (type = date)
1983-
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Javier Rubio Herrero
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Baykal-Gursoy
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Melike
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Melike Baykal-Gursoy
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Advisory Committee
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chair
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BEN-ISRAEL
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ADI
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ADI BEN-ISRAEL
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Advisory Committee
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internal member
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Roberts
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Fred
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Fred Roberts
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Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Katehakis
NamePart (type = given)
Michael
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Michael Katehakis
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Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Muriel
NamePart (type = given)
Ana
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Ana Muriel
Affiliation
Advisory Committee
Role
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outside member
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Rutgers University
Role
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degree grantor
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Graduate School - New Brunswick
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school
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Text
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theses
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2016
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2016-10
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2016
Place
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xx
Language
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eng
Abstract (type = abstract)
The newsvendor problem has been widely studied since it first appeared in the literature at the end of the XIX century. It is still the subject of further research that addresses more complex and realistic situations based on previous work. The amount of research work done on this model and its applications is so vast that a simple search in Google Scholar under the keyword "newsvendor" will return almost 8,000 entries between 2010 and 2015. The problem, in its basic formulation, aims at finding an optimal replenishment policy of a perishable product in the face of uncertain, stochastic demand. Such a solution is selected in a way that maximizes the expected profit, which is calculated as the difference between the income and the purchase cost of the good in question. This thesis elaborates on the conditions needed to guarantee the existence of a unique maximum of the objective function in the price-setting newsvendor problem with price-dependent demand. This function is presented as a mean-variance trade-off between the expected profit and the variance of the profit, weighted with a risk parameter. The main goal of this thesis is to simplify any instance of the risk-sensitive newsvendor problem for the two most common price-dependent demand functions, namely, additive and multiplicative functions. When possible, we will provide sufficient conditions for the unimodality of the problem. Unlike many other results previously published, we aim at expressing such conditions by using a metric that captures managerial attention. To this end, we use the lost sales rate elasticity as a measure of the level of service provided by the seller and express these sufficient conditions as a function of this metric.
Subject (authority = RUETD)
Topic
Operations Research
RelatedItem (type = host)
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Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_7534
PhysicalDescription
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electronic resource
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application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xi, 134 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Subject (authority = ETD-LCSH)
Topic
Inventory control--Mathematical models
Subject (authority = ETD-LCSH)
Topic
Demand (Economic theory)--Mathematical models
Note (type = statement of responsibility)
by Javier Rubio Herrero
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3GX4DVF
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Rubio Herrero
GivenName
Javier
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2016-09-06 14:40:03
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Name
Javier Rubio Herrero
Role
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Affiliation
Rutgers University. Graduate School - New Brunswick
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
RightsEvent
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2016-10-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2018-10-31
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after October 31st, 2018.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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