Faculty of Engineering

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Research group

Spanish

Analytics and Research for Decision Making ALIADO

Academic Unit: Faculty of Engineering

Colombian Ministry of Science

A

Call

894 GrupLAC

OECD

Area

Engineering and technology

Subarea

Other engineering and technologies

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Strategic Focus

ALIADO (Analytics and Research for Decision Making) is a research group that, by using analytics and scientific examination, contributes to the making of strategic decisions in the industrial and the service delivery sectors.

Research Lines and/or Areas

Analytics for Decision Making.
Urban and Sustainable Logistics.
Service Logistics (Health–Humanitarian).
Performance and Risk Measurement.
Modeling and Optimization of Logistic Systems and Supply Chains.

Sustainable Development Goals (SDGs)

Group Coordinator

Olga Cecilia Usuga Manco, PhD

PhD in Statistical Sciences

University of São Paulo.

Coordinator's Email

olga.usuga@udea.edu.co

Research Group Email

grupoaliado@udea.edu.co

Scientific Cooperation

Collaborative Relationships

HACEB.
IPS Universitaria.
Pablo Tobón Uribe Hospital.
Familia–Sancela Group.

GOMAC (Universidad Nacional de Colombia, Medellin Campus).
Research Group on Statistics from Universidad Nacional de Colombia, Medellin Campus.
GES (Universidad de Antioquia).
LabRisc (Polytechnic School of the University of São Paulo).

Highlighted Projects

Technological platform for telemedicine services, medical emergencies, and permanent monitoring for patients. This platform also supports prevention and promotion programs, such as the resources and inventory management system for SIES-M.
Electric vehicle routing problems.
Regression models for reliability.
Demand management in public bicycle systems.

Key Research Findings

Formation of master’s degree students: Pharmaceutical inventory management model for pre-hospital care, and simulation model for analyzing the problem of ambulance relocalization in a medical emergencies service.
Published articles: The electric vehicle routing problem with nonlinear charging function DOI: 10.1016/j.trb.2017.02.004
Formation of Young Researchers; national and international presentations and software development: https://bit.ly/2y12ER7
Formation of master’s degree students: Designing strategies for unit repositioning in Public Bicycle Systems.

Services and/or Products Portfolio

Optimization models for strategic and tactical planning of supply chains.
Application of localization and zonification models to urban logistics and health.
Application of statistical and Machine Learning models to health, logistics, and education.
Counseling and consulting on the group’s lines of research.
Continuous education in the group’s lines of research.