Robust optimization for the newsvendor problem with discrete demand
type: Item
instance of: scholarly article
title: Robust optimization for the newsvendor problem with discrete demand
zbMATH Open document ID: 1427.90035
DOI: 10.1155/2018/5358219
author: Jia Zhai
author: H. Yu
author: Caihong Sun
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: A robust newsvendor model with discrete demand is initiatively studied, and the steps to obtain the optimal ordering decision are provided. The study shows that the optimal ordering decision with discrete demand is very different from that with continuous demand. Besides, the total number of demand points has almost no effect on the performance of both ordering decisions. Furthermore, for an ultralow-profit product, the ordering decision with discrete demand performs significantly better than that with continuous demand.
Mathematics Subject Classification ID: 90B05
zbMATH DE Number: 7019126
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2018/5358219
OpenAlex ID: W2888622609
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Wikidata QID: Q129318937
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description: scientific article; zbMATH DE number 7019126