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Newsvendor Models with Monte Carlo S...

Ekwegh, Ijeoma Winifred.

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Newsvendor Models with Monte Carlo Sampling.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Newsvendor Models with Monte Carlo Sampling./
Author:	Ekwegh, Ijeoma Winifred.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:	49 p.
Notes:	Source: Masters Abstracts International, Volume: 56-01.
Contained By:	Masters Abstracts International56-01(E).
Subject:	Mathematics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10290035
ISBN:	9781369322859

Newsvendor Models with Monte Carlo Sampling.
Ekwegh, Ijeoma Winifred.

Newsvendor Models with Monte Carlo Sampling. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 49 p.

Source: Masters Abstracts International, Volume: 56-01.

Thesis (M.S.)--East Tennessee State University, 2016.

The newsvendor model is used in solving inventory problems in which demand is random. In this thesis, we will focus on a method of using Monte Carlo sampling to estimate the order quantity that will either maximizes revenue or minimizes cost given that demand is uncertain. Given data, the Monte Carlo approach will be used in sampling data over scenarios and also estimating the probability density function. A bootstrapping process yields an empirical distribution for the order quantity that will maximize the expected profit. Finally, this method will be used on a newsvendor example to show that it works in maximizing profit.

ISBN: 9781369322859Subjects--Topical Terms:

515831
Mathematics.

Newsvendor Models with Monte Carlo Sampling.
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