The Convergence of Gallego’s Iterative Method for Distribution-Free Inventory Models

For inventory models with unknown distribution demand, during shortages, researchers used the first and the second moments to derive an upper bound for the worst case, that is the min-max distribution-free procedure for inventory models. They applied an iterative method to generate a sequence to obt...

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Main Authors: Ting-Chen Hu, Kuo-Chen Hung, Kuo-Lung Yang
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/7/5/484
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spelling doaj-1be230bfce1d44b6b293a3271f5ee9e92020-11-25T01:30:15ZengMDPI AGMathematics2227-73902019-05-017548410.3390/math7050484math7050484The Convergence of Gallego’s Iterative Method for Distribution-Free Inventory ModelsTing-Chen Hu0Kuo-Chen Hung1Kuo-Lung Yang2Department of Health Business Administration, Hungkuang University, Taichung City 43302, TaiwanDepartment of Computer Science and Information Management, Hungkuang University, Taichung City 43302, TaiwanDepartment of Computer Science and Information Management, Hungkuang University, Taichung City 43302, TaiwanFor inventory models with unknown distribution demand, during shortages, researchers used the first and the second moments to derive an upper bound for the worst case, that is the min-max distribution-free procedure for inventory models. They applied an iterative method to generate a sequence to obtain the optimal order quantity. A researcher developed a three-sequence proof for the convergence of the order quantity sequence. We directly provide proof for the original order quantity sequence. Under our proof, we can construct an increasing sequence and a decreasing sequence that both converge to the optimal order quantity such that we can obtain the optimal solution within the predesigned threshold value.https://www.mdpi.com/2227-7390/7/5/484inventory modelsminimax distribution-free procedure
collection DOAJ
language English
format Article
sources DOAJ
author Ting-Chen Hu
Kuo-Chen Hung
Kuo-Lung Yang
spellingShingle Ting-Chen Hu
Kuo-Chen Hung
Kuo-Lung Yang
The Convergence of Gallego’s Iterative Method for Distribution-Free Inventory Models
Mathematics
inventory models
minimax distribution-free procedure
author_facet Ting-Chen Hu
Kuo-Chen Hung
Kuo-Lung Yang
author_sort Ting-Chen Hu
title The Convergence of Gallego’s Iterative Method for Distribution-Free Inventory Models
title_short The Convergence of Gallego’s Iterative Method for Distribution-Free Inventory Models
title_full The Convergence of Gallego’s Iterative Method for Distribution-Free Inventory Models
title_fullStr The Convergence of Gallego’s Iterative Method for Distribution-Free Inventory Models
title_full_unstemmed The Convergence of Gallego’s Iterative Method for Distribution-Free Inventory Models
title_sort convergence of gallego’s iterative method for distribution-free inventory models
publisher MDPI AG
series Mathematics
issn 2227-7390
publishDate 2019-05-01
description For inventory models with unknown distribution demand, during shortages, researchers used the first and the second moments to derive an upper bound for the worst case, that is the min-max distribution-free procedure for inventory models. They applied an iterative method to generate a sequence to obtain the optimal order quantity. A researcher developed a three-sequence proof for the convergence of the order quantity sequence. We directly provide proof for the original order quantity sequence. Under our proof, we can construct an increasing sequence and a decreasing sequence that both converge to the optimal order quantity such that we can obtain the optimal solution within the predesigned threshold value.
topic inventory models
minimax distribution-free procedure
url https://www.mdpi.com/2227-7390/7/5/484
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