Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/70994
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Applied Mathematics | en_US |
dc.contributor | Department of Logistics and Maritime Studies | en_US |
dc.creator | Xu, XS | en_US |
dc.creator | Yan, H | en_US |
dc.creator | Chan, CK | en_US |
dc.date.accessioned | 2017-12-28T06:18:42Z | - |
dc.date.available | 2017-12-28T06:18:42Z | - |
dc.identifier.issn | 1026-0226 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/70994 | - |
dc.language.iso | en | en_US |
dc.publisher | Hindawi Publishing Corporation | en_US |
dc.rights | Copyright © 2017 Xinsheng Xu et al.This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | en_US |
dc.rights | The following publication Xinsheng Xu, Hong Yan, Chi Kin Chan, "Opportunity Loss Minimization and Newsvendor Behavior", Discrete Dynamics in Nature and Society, vol. 2017, Article ID 3481869, 11 pages, 2017 is available at https://doi.org/10.1155/2017/3481869. | en_US |
dc.title | Opportunity loss minimization and newsvendor behavior | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 2017 | en_US |
dc.identifier.doi | 10.1155/2017/3481869 | en_US |
dcterms.abstract | To study the decision bias in newsvendor behavior, this paper introduces an opportunity loss minimization criterion into the newsvendor model with backordering. We apply the Conditional Value-at-Risk (CVaR) measure to hedge against the potential risks from newsvendor's order decision. We obtain the optimal order quantities for a newsvendor to minimize the expected opportunity loss and CVaR of opportunity loss. It is proven that the newsvendor's optimal order quantity is related to the density function of market demand when the newsvendor exhibits risk-averse preference, which is inconsistent with the results in Schweitzer and Cachon (2000). The numerical example shows that the optimal order quantity that minimizes CVaR of opportunity loss is bigger than expected profit maximization (EPM) order quantity for high-profit products and smaller than EPM order quantity for low-profit products, which is different from the experimental results in Schweitzer and Cachon (2000). A sensitivity analysis of changing the operation parameters of the two optimal order quantities is discussed. Our results confirm that high return implies high risk, while low risk comes with low return. Based on the results, some managerial insights are suggested for the risk management of the newsvendor model with backordering. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Discrete dynamics in nature and society, 2017, v. 2017, 3481869 | en_US |
dcterms.isPartOf | Discrete dynamics in nature and society | en_US |
dcterms.issued | 2017 | - |
dc.identifier.isi | WOS:000398968000001 | - |
dc.identifier.ros | 2016002945 | - |
dc.identifier.eissn | 1607-887X | en_US |
dc.identifier.artn | 3481869 | en_US |
dc.identifier.rosgroupid | 2016002883 | - |
dc.description.ros | 2016-2017 > Academic research: refereed > Publication in refereed journal | en_US |
dc.description.validate | bcrc | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | LMS-0550 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Hong Kong Polytechnic University; the China Postdoctoral Science Foundation; the Science Foundation of Binzhou University | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 6744321 | - |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
3481869.pdf | 2.22 MB | Adobe PDF | View/Open |
Page views
94
Last Week
1
1
Last month
Citations as of May 11, 2025
Downloads
35
Citations as of May 11, 2025
SCOPUSTM
Citations
2
Citations as of Jun 21, 2024
WEB OF SCIENCETM
Citations
1
Last Week
0
0
Last month
Citations as of May 8, 2025

Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.