Algorithm to solve a chance‐constrained network capacity design problem with stochastic demands and finite support-Reference-Cited by-同舟云学术

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Algorithm to solve a chance‐constrained network capacity design problem with stochastic demands and finite support

Published:2016-04 Issue:3 Volume:63 Page:236-246
ISSN:0894-069X
Container-title:Naval Research Logistics (NRL)
language:en
Short-container-title:Naval Research Logistics

Author:

Schumacher Kathryn M.¹,Li‐Yang Chen Richard²,Cohn Amy E.M.³,Castaing Jeremy³

Affiliation:

1. Research and Development, General Motors, Warren, Michigan 48092

2. Quantitative Modeling and Analysis, Sandia National Laboratories, Livermore, California 94551

3. Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109

Funder

NSF Graduate Student Fellowship

Sandia National Laboratories’ Laboratory-Directed Research

Sandia National Laboratories

Lockheed Martin Corporation

U.S. Department of Energy's National Nuclear Security Administration

Publisher

Wiley

Subject

Management Science and Operations Research,Ocean Engineering,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nav.21685

Reference45 articles.

1. Design of Survivable Networks Using Three- and Four-Partition Facets

2. Solving Chance-Constrained Stochastic Programs via Sampling and Integer Programming

3. Two-Stage Robust Network Flow and Design Under Demand Uncertainty

4. Stochastic service network design with rerouting

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