An inventory model with two suppliers under yield uncertainity

buir.advisorFadıloğlu, M. Murat
dc.contributor.authorGürbüz, Mustafa Çağrı
dc.date.accessioned2016-07-01T11:04:28Z
dc.date.available2016-07-01T11:04:28Z
dc.date.issued2001
dc.descriptionCataloged from PDF version of article.en_US
dc.description.abstractIn this study, an inventory model with one retailer and two suppliers is considered for a single item. Di erent from most of the models in inventory literature, we do not make the assumption that we receive all the quantity that we ordered. It is assumed that a random fraction of the lot size is actually delivered by the suppliers. Hence, the model is constructed under yield uncertainty for both binomial yield and stochastically proportional yield model. The demand rate is constant, and backordering is allowed. The ob jective is to minimize the long-run average cost and nd the near optimal values for the decision variables; order quantities and reorder point. Furthermore, the regions where diversi cation among suppliers is bene cial are investigated. The results are generalized to \M" suppliers (M>2) and solution method is proposed. Finally, experimental study is carried out for the two-suppliers problem.en_US
dc.description.statementofresponsibilityGürbüz, Mustafa Çağrıen_US
dc.format.extent89 leavesen_US
dc.identifier.itemidBILKUTUPB059674
dc.identifier.urihttp://hdl.handle.net/11693/29746
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectRandom yield, two suppliersen_US
dc.subject.lccTS160 .G87 2001en_US
dc.subject.lcshInventory control Mathematical models.en_US
dc.titleAn inventory model with two suppliers under yield uncertainityen_US
dc.typeThesisen_US
thesis.degree.disciplineIndustrial Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
0001768.pdf
Size:
560.83 KB
Format:
Adobe Portable Document Format
Description:
Full printable version