dc.contributor.author | Jaison, Absolom | |
dc.date.accessioned | 2012-08-31T07:11:54Z | |
dc.date.available | 2012-08-31T07:11:54Z | |
dc.date.issued | 2012-08-31 | |
dc.identifier.uri | http://hdl.handle.net/10646/932 | |
dc.description.abstract | Up 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.iso | en_ZW | en_ZW |
dc.subject | probability distribution | en_ZW |
dc.subject | inventory models | en_ZW |
dc.subject | single-period inventory models | en_ZW |
dc.subject | models | en_ZW |
dc.title | Single Period Inventory Models for Products whose Demand Follows Compound Distributions | en_ZW |
thesis.degree.advisor | Chipoyera, H. W. (Mr.) | |
thesis.degree.country | Zimbabwe | en_ZW |
thesis.degree.discipline | Mathematics | en_ZW |
thesis.degree.faculty | Faculty of Science | en_ZW |
thesis.degree.grantor | University of Zimbabwe | en_ZW |
thesis.degree.grantoremail | specialcol@uzlib.uz.ac.zw | |
thesis.degree.level | MSc | en_ZW |
thesis.degree.name | Master of science in Mathematics | en_ZW |
thesis.degree.thesistype | Thesis | en_ZW |
dc.date.defense | 2005-06-30 | |