Name
Title | ||
|---|---|---|
A stochastic program to evaluate disruption mitigation investments in the supply chain. |
Abstract | ||
|---|---|---|
•A two-stage stochastic model to evaluate supply chain disruption mitigation options.•Distinction between disruptions and business as usual reduces model size by 85%.•Implementation of model on a real-life case study in the European chemical industry.•Short-instead of long-term cost focus leads to a more aggressive investment policy. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ejor.2018.10.005 | European Journal of Operational Research |
Keywords | Field | DocType |
Stochastic programming,Supply chain network design,Supply chain risk management | Investment policy,Supply chain network,Supply chain risk management,Minification,Supply chain,Risk aversion,Stochastic programming,Operations management,Expected shortfall,Business | Journal |
Volume | Issue | ISSN |
274 | 2 | 0377-2217 |
Citations | PageRank | References |
1 | 0.35 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| André Snoeck | 1 | 1 | 0.35 |
| Maximiliano Udenio | 2 | 1 | 0.35 |
| Jan C. Fransoo | 3 | 140 | 15.31 |