On Properties of Discrete (r,q) and (s,T) Inventory Systems
We consider single-item (r, q) and (s, T) inventory systems with integer-valued demand processes. While most of the inventory literature studies continuous approximations of these models and establishes joint convexity properties of the policy parameters in the continuous space, we show that these p...
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sg-smu-ink.lkcsb_research-40212021-04-26T01:32:18Z On Properties of Discrete (r,q) and (s,T) Inventory Systems ANG, Marcus SONG, Jing-Sheng WANG, Mingzheng ZHANG, Hanqin We consider single-item (r, q) and (s, T) inventory systems with integer-valued demand processes. While most of the inventory literature studies continuous approximations of these models and establishes joint convexity properties of the policy parameters in the continuous space, we show that these properties no longer hold in the discrete space, in the sense of linear interpolation extension and L♮-convexity. This nonconvexity can lead to failure of optimization techniques based on local optimality to obtain the optimal inventory policies. It can also make certain comparative properties established previously using continuous variables invalid. We revise these properties in the discrete space. 2013-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/3022 info:doi/10.1016/j.ejor.2013.02.054 https://ink.library.smu.edu.sg/context/lkcsb_research/article/4021/viewcontent/Properties_Discrete_2013_av.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University (r Q) policy (s T) policy discrete convexity inventory/production Operations and Supply Chain Management |
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(r Q) policy (s T) policy discrete convexity inventory/production Operations and Supply Chain Management ANG, Marcus SONG, Jing-Sheng WANG, Mingzheng ZHANG, Hanqin On Properties of Discrete (r,q) and (s,T) Inventory Systems |
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We consider single-item (r, q) and (s, T) inventory systems with integer-valued demand processes. While most of the inventory literature studies continuous approximations of these models and establishes joint convexity properties of the policy parameters in the continuous space, we show that these properties no longer hold in the discrete space, in the sense of linear interpolation extension and L♮-convexity. This nonconvexity can lead to failure of optimization techniques based on local optimality to obtain the optimal inventory policies. It can also make certain comparative properties established previously using continuous variables invalid. We revise these properties in the discrete space. |
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text |
author |
ANG, Marcus SONG, Jing-Sheng WANG, Mingzheng ZHANG, Hanqin |
author_facet |
ANG, Marcus SONG, Jing-Sheng WANG, Mingzheng ZHANG, Hanqin |
author_sort |
ANG, Marcus |
title |
On Properties of Discrete (r,q) and (s,T) Inventory Systems |
title_short |
On Properties of Discrete (r,q) and (s,T) Inventory Systems |
title_full |
On Properties of Discrete (r,q) and (s,T) Inventory Systems |
title_fullStr |
On Properties of Discrete (r,q) and (s,T) Inventory Systems |
title_full_unstemmed |
On Properties of Discrete (r,q) and (s,T) Inventory Systems |
title_sort |
on properties of discrete (r,q) and (s,t) inventory systems |
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Institutional Knowledge at Singapore Management University |
publishDate |
2013 |
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https://ink.library.smu.edu.sg/lkcsb_research/3022 https://ink.library.smu.edu.sg/context/lkcsb_research/article/4021/viewcontent/Properties_Discrete_2013_av.pdf |
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1770570915651780608 |