Uncertainty is inherent in many decision and optimization problems for a variety of reasons: imperfect models, random inputs, noisy measurements of variables, and imprecise knowledge of dynamic parameters. Added to this is the frequent complexity of large contemporary systems. This axis groups together decision-making methods in complex and uncertain systems. These include state estimation, hierarchical optimal control, robust optimization, and mean field game theory.
Cahiers du GERAD
Optimizing freight procurement for transportation-inventory systems under supply and demand uncertainty
The procurement of freight services is an important element for the supply chain management of a shipper (i.e., a manufacturer or retailer) that sources tran...BibTeX reference
This paper considers the pricing of a new product in the face of sophisticated consumer behaviors. At the individual level, consumers are forward-looking, wh...BibTeX reference
Within the context of optimization under uncertainty, a well-known alternative to minimizing expected value or the worst-case scenario consists in minimizing...BibTeX reference
Ruslan Goyenko – Associate Professor, Finance, Desautels Faculty of Management, McGill University
Abolhassan Mohammadi Fathabad – The University of Arizona