A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty

By Ali Bozorgi-Amiri, Mohamad Saeed Jabalameli, S. M. Al-e-hashem. OR spectrum, 2011

430 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/cb0dbe7e35dc0a77c1bdedc470144658aa1f3b10

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. Muhammad Salman Habib
2. Young Hae Lee
3. Muhammad Saad Memon

In Ocean Engineering

1. Muhammad Salman Habib
2. Young Hae Lee
3. Muhammad Saad Memon

In Organizational Behavior and Human Resource Management

1. Muhammad Salman Habib
2. Young Hae Lee
3. Muhammad Saad Memon

Citations in the corpus

• Mathematical Models in Humanitarian Supply Chain Management: A Systematic Literature Review (2016, methodology): “[36] suggested a supplies prepositioning and aid distribution model using robust stochastic programming approach.”
• A simheuristic for routing electric vehicles with limited driving ranges and stochastic travel times (2019, background): “Many logistics and transportation problems in smart cities can be modeled as rich VRP variants (Cáceres-Cruz et al., 2014).”