Supply chain design under uncertainty using sample average approximation and dual decomposition

By Peter Schütz, Asgeir Tomasgard, Shabbir Ahmed. European Journal of Operational Research, 2009

299 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management Science and Operations Research, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/aca2d173ef623ec5d6f3d2fba89472244d04a6bf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. A. Barbosa‐Póvoa
2. Ana Carvalho
3. Maria Isabel Gomes
4. Bruna Mota

In Management Science and Operations Research

1. Adam N. Elmachtoub
2. Paul Grigas
3. Ryan McNellis

Citations in the corpus

• Sustainable supply chains: An integrated modeling approach under uncertainty (2017, background): “3 chain design on itself encompasses complex decisions involving several products, entities, players and several other variables [5, 6].”
• A multi-stage stochastic supply network design problem with financial decisions and risk management (2012, unknown): “[37,38] and Listes- [23] two-stage stochastic programming formulations are considered.”
• Smart "Predict, then Optimize" (2017, background): “…from data include operational statistics (Liyanage and Shanthikumar (2005), Chu et al. (2008)), sample average approximation (Kleywegt et al. (2002), Schütz et al. (2009), Bertsimas et al. (2014)), and robust optimization (Bertsimas and Thiele (2006), Bertsimas et al. (2013), Wang et al. (2016)).”