Teresa Ortuño : Humanitarian logistics. Multicriteria decision-aid models for last mile distribution

Speaker: Dr M. Teresa Ortuño
Universidad Complutense de Madrid (Spain)

Title: Humanitarian logistics. Multicriteria decision-aid models for last mile distribution

Date and time: Friday 11 August 2017, 3:00–4:00pm
Location: Building 8 Level 9 Room 66 (AGR) RMIT City campus

Abstract: Large scale disasters, such as the catastrophic Haiti earthquake (2010), have massive and lasting effects on large concentrations of people. Nowadays disasters can be considered as a consequence of inappropriately managed risk, being these risks the product of hazards and vulnerability. Vulnerability refers to the extent to which a community can be affected by the impact of a hazard and, in this way, developing countries, due to their greater vulnerability, suffer the highest costs when a disaster occurs.
Disaster relief is a challenge for politics, economies, and societies worldwide, and humanitarian organizations face multiple decision problems in responding to them. In particular, once a disaster strikes a country, the distribution of humanitarian aid to the population affected is one of the most fundamental operations in what is nowadays called “Humanitarian Logistics”. In the last decade there has been an increasing interest in the OR/MS community in the study of this field, pointing out the similarities and differences between humanitarian and business logistics and developing new models valid for the special characteristics of this kind of problems. In particular, traditional logistic objectives, such as minimizing operation cost, are not the most relevant ones in humanitarian operations. Other factors, such as time of operation, or the design of safe and equitable distribution plans, come to the front, and new models and algorithms are needed to cope with these special features.
In this talk, several MIP models for last mile distribution will be presented, solved using different multi-criteria techniques. Exact and heuristic approaches will be presented and tested in several case studies.

Bio: M. Teresa Ortuño, Doctor in Operational Research and Graduate in Mathematics for the Complutense University of Madrid (UCM), is currently a Permanent Professor in the Statistics and Operational Research Department (Mathematical Science School), UCM. She is part of the research group HUMLOG (Decision Aid Models in Logistics and Disaster Management-HUManitarian LOGistics) at the Complutense University. Author of more than 40 research papers, she has worked in the following fields: Reliability and Simulation Systems, Integer and Stochastic Programming, Production Planning, Combinatorial Optimization, Logistics. Prof. Ortuño’s current scientific work is centred on the field of Humanitarian Logistics and green technologies.

She teaches Operational Research, Applied Modelling, Simulation and Network Optimization, and has been advisor of 2 PhD thesis and 14 master thesis. She has been member of more than 30 research projects, 4 transfer of knowledge projects and 13 university cooperation for development projects. She has lead 2 innovation teaching projects and has presented more than 100 communications in Conferences and Symposia. She also participates to different European programs including GEO-SAFE (H2020-MSCA-RISE-2015).

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