Publication:
Hedging demand and supply risks in the newsvendor model

dc.contributor.coauthorN/A
dc.contributor.departmentN/A
dc.contributor.departmentDepartment of Industrial Engineering
dc.contributor.departmentDepartment of Industrial Engineering
dc.contributor.kuauthorOkyay, Hayrettin Kaan
dc.contributor.kuauthorKaraesmen, Fikri
dc.contributor.kuauthorÖzekici, Süleyman
dc.contributor.kuprofileMaster Student
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Industrial Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokidN/A
dc.contributor.yokid3579
dc.contributor.yokid32631
dc.date.accessioned2024-11-09T22:50:33Z
dc.date.issued2015
dc.description.abstractWe consider a single-period inventory model where there are risks associated with the uncertainty in demand as well as supply. Furthermore, the randomness in demand and supply is correlated with the financial markets. Recent literature provides ample evidence on this issue. The inventory manager may then exploit this correlation and manage his risks by investing in a portfolio of financial instruments. The decision problem, therefore, includes not only the determination of the optimal ordering policy, but also the selection of the optimal portfolio at the same time. We analyze this problem in detail and provide a risk-sensitive approach to inventory management where one considers both the mean and the variance of the resulting cash flow. The analysis results in some interesting and explicit characterizations on the structure of the optimal policy.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.issue2
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorshipTurkish Scientific and Technological Research Council [110M620]
dc.description.sponsorshipTUBA-GEBIP This research is supported by the Turkish Scientific and Technological Research Council through grant 110M620. F. Karaesmen's research is partially supported by the TUBA-GEBIP programme. We also wish to thank the reviewers for helpful comments and suggestions that improved the content and presentation of this paper.
dc.description.volume37
dc.identifier.doi10.1007/s00291-014-0385-4
dc.identifier.eissn1436-6304
dc.identifier.issn0171-6468
dc.identifier.quartileQ3
dc.identifier.scopus2-s2.0-84925490813
dc.identifier.urihttp://dx.doi.org/10.1007/s00291-014-0385-4
dc.identifier.urihttps://hdl.handle.net/20.500.14288/6675
dc.identifier.wos350556500008
dc.keywordsNewsvendor model
dc.keywordsRandom supply
dc.keywordsRisk hedging
dc.keywordsMinimum-variance portfolio
dc.languageEnglish
dc.publisherSpringer
dc.sourceOr Spectrum
dc.subjectOperations research
dc.subjectManagement science
dc.titleHedging demand and supply risks in the newsvendor model
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authoridN/A
local.contributor.authorid0000-0003-3851-6232
local.contributor.authorid0000-0003-3610-1746
local.contributor.kuauthorOkyay, Hayrettin Kaan
local.contributor.kuauthorKaraesmen, Fikri
local.contributor.kuauthorÖzekici, Süleyman
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