Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/55761
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Logistics and Maritime Studies | en_US |
dc.creator | Lu, Y | en_US |
dc.creator | Song, M | en_US |
dc.creator | Yang, Y | en_US |
dc.date.accessioned | 2016-09-15T06:42:52Z | - |
dc.date.available | 2016-09-15T06:42:52Z | - |
dc.identifier.issn | 1059-1478 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/55761 | - |
dc.language.iso | en | en_US |
dc.publisher | Wiley-Blackwell | en_US |
dc.rights | © 2015 Production and Operations Management Society | en_US |
dc.rights | This is the peer reviewed version of the following article: Lu, Y., Song, M., & Yang, Y. (2016). Joint inventory and pricing coordination with incomplete demand information. Production and operations management, 25(4), 701-718, which has been published in final form at https://doi.org/10.1111/poms.12504. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited. | en_US |
dc.subject | Incomplete demand information | en_US |
dc.subject | Inventory and pricing coordination | en_US |
dc.subject | K-approximate convexity | en_US |
dc.title | Joint inventory and pricing coordination with incomplete demand information | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 701 | en_US |
dc.identifier.epage | 718 | en_US |
dc.identifier.volume | 25 | en_US |
dc.identifier.issue | 4 | en_US |
dc.identifier.doi | 10.1111/poms.12504 | en_US |
dcterms.abstract | In retailing operations, retailers face the challenge of incomplete demand information. We develop a new concept named K-approximate convexity, which is shown to be a generalization of K-convexity, to address this challenge. This idea is applied to obtain a base-stock list-price policy for the joint inventory and pricing control problem with incomplete demand information and even non-concave revenue function. A worst-case performance bound of the policy is established. In a numerical study where demand is driven from real sales data, we find that the average gap between the profits of our proposed policy and the optimal policy is 0.27%, and the maximum gap is 4.6%. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Production and operations management, Apr. 2016, v. 25, no. 4, p. 701-718 | en_US |
dcterms.isPartOf | Production and operations management | en_US |
dcterms.issued | 2016-04 | - |
dc.identifier.isi | WOS:000373946100007 | - |
dc.identifier.scopus | 2-s2.0-84945217203 | - |
dc.identifier.eissn | 1937-5956 | en_US |
dc.identifier.rosgroupid | 2015001815 | - |
dc.description.ros | 2015-2016 > Academic research: refereed > Publication in refereed journal | en_US |
dc.description.validate | 202207 bcvc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | LMS-0509 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; Shenzhen Research Institute, City University of Hong Kong; China’s National Social Science Fund | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 6587369 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Song_Joint_Inventory_Pricing.pdf | Pre-Published version | 333.25 kB | Adobe PDF | View/Open |
Page views
239
Last Week
0
0
Last month
Citations as of Apr 21, 2024
Downloads
68
Citations as of Apr 21, 2024
SCOPUSTM
Citations
16
Last Week
0
0
Last month
Citations as of Apr 26, 2024
WEB OF SCIENCETM
Citations
13
Last Week
0
0
Last month
Citations as of Apr 25, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.