The Chair’s research program focuses on optimization methods applied to supply chain operations planning problems. The three main areas are production planning, integrated production and transportation planning, and planning under uncertainty. These planning problems are relevant for many manufacturing companies as optimized planning helps them to reduce costs and maintain their competitiveness. In terms of methodology, the projects focus on solving planning problems using linear and integer programming models. We will formulate new mathematical models for different problems and develop new and effective solution algorithms. The objectives of this research program are: 1) to conduct high-quality research in the area of operations planning; 2) to supervise graduate students during their research training; 3) to apply this research to industrial problems.
Title: Stochastic lot sizing problems with service level constraints
Kerem Akartunali – University of Strathclyde Glasgow
Dorian Dumez – HEC Montréal
Silvio Alexandre de Araujo – Associate Professor, Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP)