Risk averse models in facility location for humanitarian logistics

• Grant number: 16/12165-2
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: September 01, 2016
• End date: August 31, 2017
• Field of knowledge: Engineering - Production Engineering - Operational Research
• Principal Investigator: Douglas José Alem Junior
• Grantee: Lucas Pelegrin da Silva
• Host Institution: Centro de Ciências em Gestão e Tecnologia (CCGT). Universidade Federal de São Carlos (UFSCAR). Campus de Sorocaba. Sorocaba , SP, Brazil

Abstract

This research project proposes to extend the work of Balcik and Beamon (2008) to consider risk aversion measures, such as value-at-risk (VaR) and conditional value-at-risk (CVaR), in a facility location model typical of humanitarian logistics settings. Basically, we will use the two-stage stochastic optimization paradigm as our theoretical framework. We intend to solve practical instances based on the megadisaster of the Serrana region of Rio de Janeiro in 2011 in an attempt to analyze the impact of more risky averse solutions in facility planning decisions. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

RODRIGUEZ-ESPINDOLA, OSCAR; ALEM, DOUGLAS; DA SILVA, LUCAS PELEGRIN. A shortage risk mitigation model for multi-agency coordination in logistics planning. COMPUTERS & INDUSTRIAL ENGINEERING, v. 148, OCT 2020. (16/12165-2)