The stochastic location model with risk pooling

By Lawrence V. Snyder, Mark S. Daskin, Chung-Piaw Teo. European Journal of Operational Research, 2007

295 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Organizational Behavior and Human Resource Management, Transportation

View Paper: https://www.semanticscholar.org/paper/0e0a18827877609ae8988881a6ccfbc45cb29406

How researchers see this paper

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

In Industrial and Manufacturing Engineering

1. Francisco Saldanha-da-Gama
2. Stefan Nickel
3. M. Teresa Melo
4. Mark S. Daskin
5. Hamed Soleimani
6. Zuo-Jun Max Shen
7. Lawrence V. Snyder

In Organizational Behavior and Human Resource Management

1. Stefan Nickel
2. Francisco Saldanha-da-Gama
3. M. Teresa Melo
4. Mirmehdi Seyyed-Esfahani
5. Govindan Kannan
6. Mark S. Daskin
7. Hamed Soleimani
8. Zuo-Jun Max Shen

Citations in the corpus

• Incorporating risk measures in closed-loop supply chain network design (2014, background): “For instance, Snyder, Daskin, and Teo (2007) tried to incorporate variance as a risk measure in one-stage stochastic framework through a scenario-based approach.”
• Facility location and supply chain management - A review (2009, background): “Single layer Single location layer Single commodity [6,7,22,72,79,109,118,123,126,134,138] [17,42,67,69,108,110,117] [12,13,27,76,84]”
• The α‐reliable mean‐excess regret model for stochastic facility location modeling (2006, methodology): “Scenario planning was chosen primarily because, as pointed out by Snyder, Daskin, and Teo [22], it allows the decision makers to model dependence among random parameters.”