Data-driven rolling horizon approach for dynamic design of supply chain distribution networks under disruption and demand uncertainty
Mohammad Fattahi, Kannan Govindan
| Year of publication: |
2022
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|---|---|
| Authors: | Fattahi, Mohammad ; Govindan, Kannan |
| Published in: |
Decision sciences. - Oxford : Wiley-Blackwell, ISSN 1540-5915, ZDB-ID 2066218-X. - Vol. 53.2022, 1, p. 150-180
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| Subject: | Conic optimization | Data-driven rolling horizon approach | Dynamic supply chain network design | Multi-stage stochastic programming | Risk management | Lieferkette | Supply chain | Risikomanagement | Stochastischer Prozess | Stochastic process | Mathematische Optimierung | Mathematical programming |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1111/deci.12481 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013164982