Name
Title | ||
|---|---|---|
A sample average approximation approach for supply chain network design with facility disruptions. |
Abstract | ||
|---|---|---|
•We investigate a supply chain network design problem with facility disruptions.•We propose a sample average approximation (SAA) algorithm.•We formulate a stochastic programming model and an explicit scenario-based model.•We present computational results to evaluate the performance of the SAA algorithm. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cie.2018.09.039 | Computers & Industrial Engineering |
Keywords | Field | DocType |
Supply chain network design,Sample average approximation,Stochastic programming,Facility location problem | Sample average approximation,Mathematical optimization,Subroutine,Network planning and design,Supply chain network,Supply chain,Engineering,Stochastic programming | Journal |
Volume | ISSN | Citations |
126 | 0360-8352 | 0 |
PageRank | References | Authors |
0.34 | 12 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xueping Li | 1 | 26 | 5.39 |
| Kaike Zhang | 2 | 3 | 1.39 |