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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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 |
work_keys_str_mv |
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