6 Novembro 2017, 12:43 - Fátima Jacinto
do Ciclo de Seminários do CEG-IST temos o prazer de anunciar o seguinte
Data: 17 de Novembro de 2017, sexta-feira, das 11:00 às 12:00.
Local: sala V1.15 (Técnico, Campus Alameda, Pavilhão de Civil, 1.º piso)
Tema: Optimisation under uncertainty for real-world production systems: theoretical aspects and practical challenges.
Palestrante: Fabricio Oliveira.
this talk, we introduce the framework of optimisation under uncertainty, which
consists of collection of disciplines such as stochastic programming, robust
optimisation, scenario generation, decomposition methods, and others related.
When properly combined, these allow the development of mathematical
programming-based decision support tools that can meaningfully consider the
inherent uncertainty associated with input data. We illustrate the capabilities
of such framework by means of examples derived from real-world problems in
which the combination of two or more of these disciplines allowed the
development of enhanced models which, ultimately, led to more efficient
decision support tools. We will also discuss some of the technical details
behind the development of these applications and present future perspectives in
terms of research development.
Breve nota biográfica: Fabricio Oliveira is Assistant Professor of Operations Research in the School of Science at Aalto University (Finland). He holds a B.Sc. (2008) and a D.Sc (2012) in Production Engineering from PUC-Rio (Brazil). Previous to his current appointment, he has worked as a visiting researcher at the Centre of Advanced Process Decision-making (CAPD) at Carnegie Mellon University (USA), as a Postdoctoral Research Fellow in the Mathematical Sciences Department at RMIT University (Australia), and as an Assistant Professor in the Industrial Engineering Department at PUC-Rio. His main research interests are practical and computational challenges of applying optimisation under uncertainty for solving production planning and supply chain management problems.
Os seminários do CEG-IST são de acesso livre.