Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Robust newsvendor games with ambiguity in demand distributions

Tools
- Tools
+ Tools

Doan, Xuan Vinh and Nguyen, Tri-Dung (2020) Robust newsvendor games with ambiguity in demand distributions. Operations Research, 68 (4). pp. 1047-1062. doi:10.1287/opre.2019.1955 ISSN 0030-364X.

[img]
Preview
PDF
WRAP-robust-newsvendor-games-ambiguity-demand-distributions-Doan-2019.pdf - Accepted Version - Requires a PDF viewer.

Download (794Kb) | Preview
Official URL: https://doi.org/10.1287/opre.2019.1955

Request Changes to record.

Abstract

In classical newsvendor games, vendors collaborate to serve their aggregate demand whose joint distribution is assumed known with certainty. We investigate a new class of newsvendor games with ambiguity in the joint demand distributions, which is represented by a Fréchet class of distributions with some, possibly overlapping, marginal information. To model this new class of games, we use ideas from distributionally robust optimization to handle distributional ambiguity and study the robust newsvendor games. We provide conditions for the existence of core solutions of these games using the structural analysis of the worst-case joint demand distributions of the corresponding distributionally robust newsvendor optimization problem.

Item Type: Journal Article
Divisions: Faculty of Social Sciences > Warwick Business School > Operational Research & Management Sciences
Faculty of Social Sciences > Warwick Business School
Journal or Publication Title: Operations Research
Publisher: Institute for Operations Research and the Management Sciences (I N F O R M S)
ISSN: 0030-364X
Official Date: July 2020
Dates:
DateEvent
July 2020Published
29 June 2020Available
18 September 2019Accepted
Volume: 68
Number: 4
Page Range: pp. 1047-1062
DOI: 10.1287/opre.2019.1955
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 19 September 2019
Date of first compliant Open Access: 19 September 2019
Related URLs:
  • Publisher

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us