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dc.contributor.authorJaison, Absolom
dc.date.accessioned2012-08-31T07:11:54Z
dc.date.available2012-08-31T07:11:54Z
dc.date.issued2012-08-31
dc.identifier.urihttp://hdl.handle.net/10646/932
dc.description.abstractUp to this point, the Single Period Inventory models developed have focused on a product whose demand distribution in a single period is some simple classical distribution like the normal distribution, log-normal distribution, etc. These models are silent on the fact that the number of customers visiting a retail outlet to demand the product is a random variable with some probability distribution, typically the Poison distribution (for this project). In this thesis, a model that assumes that the number of customers visiting a retail outlet during a single period is Poison distributed is developed; each customer's demand for the product in turn is assumed to be a random variable X that follows some known distribution D ( è ), where è is the parametric vector for the distribution.en_ZW
dc.language.isoen_ZWen_ZW
dc.subjectprobability distributionen_ZW
dc.subjectinventory modelsen_ZW
dc.subjectsingle-period inventory modelsen_ZW
dc.subjectmodelsen_ZW
dc.titleSingle Period Inventory Models for Products whose Demand Follows Compound Distributionsen_ZW
thesis.degree.advisorChipoyera, H. W. (Mr.)
thesis.degree.countryZimbabween_ZW
thesis.degree.disciplineMathematicsen_ZW
thesis.degree.facultyFaculty of Scienceen_ZW
thesis.degree.grantorUniversity of Zimbabween_ZW
thesis.degree.grantoremailspecialcol@uzlib.uz.ac.zw
thesis.degree.levelMScen_ZW
thesis.degree.nameMaster of science in Mathematicsen_ZW
thesis.degree.thesistypeThesisen_ZW
dc.date.defense2005-06-30


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