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Mariana Bayão Horta Mesquita da Cunha

PhD Student

Centro de Estudos de Gestão do Instituto Superior Técnico

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Mariana Mesquita da Cunha is a PhD student in Engineering Management at IST, CEG-IST, Instituto Superior Técnico, University of Lisbon. Her PhD thesis is titled "Multi-objective linear programming: models, algorithms and applications" and she is supervised by Professor Ana Póvoa and Professor José Rui Figueira. Mariana received a MSc. degree in Mechanical Engineering in 2018 at IST. Her master thesis was on "Scheduling of Flexible Job Shop Problem in Dynamic Environments". In this work, she studied both the scheduling and rescheduling problem in uncertain environments with stochastic perturbations. After her master's thesis, she was part of a research project with the pharmaceutical industry, developing automation platforms, simulation tools and automatic scheduling applications for analytical laboratories. Currently, Mariana’s research focus is on multi-objective mixed-integer linear optimization, namely representation strategies and interactive decision support tools. This work tackles challenges in emergency medical services, specifically in areas such as staffing and staff scheduling.

Publications

2nd Workshop on Combinatorial Optimization | 2022

José Rui Figueira

Ana Paula Barbosa-Póvoa

Mariana. Autor correspondente: Mesquita-Cunha

Innovation for Systems Information and Decision Meeting (Virtual 2021 INSID) | 2021

José Rui Figueira

Ana Paula Barbosa-Póvoa

Mariana. Autor correspondente: Mesquita-Cunha

XXI Congresso da Associação Portuguesa de Investigação Operacional (IO2021) | 2021

José Rui Figueira

Ana Barbosa-Póvoa

Mariana. Autor correspondente: Mesquita-Cunha

92nd Meeting of EURO Working Group on Multicriteria Decision Aiding | 2021

José Rui Figueira

Ana Paula Barbosa-Póvoa

Mariana. Autor correspondente: Mesquita-Cunha

Research Groups

Projects

Future Pharma - Pharmaceutical Supply Chain of the Future

The pharmaceutical industry is being challenged to become more cost-efficient and responsive when developing and making drugs. Scientific and technological breakthroughs, increasing societal pressures, stringent regulations, and fast-changing markets are pushing the pharmaceutical supply chain to the limit. Recent findings confirm that the industry is struggling to maintain the right levels of innovation to ensure R&D productivity.

Data2Help - Data science for the optimization of emergency medical services

Emergency medical services in mainland Portugal are coordinated by Instituto Nacional de Emergência Médica (INEM). In most cases, medical emergency situations are reported to INEM through a phone call to the 112 number, where specialized medical staff classifies the emergency situation and dispatches the proper emergency vehicle (ambulance, helicopter, life-support vehicle, among other) along with medical staff. Each vehicle is equipped to deal with different situations from light injuries to life-support.