Production planning facilitated by optimal scheduling of a multi-task production cell

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Scheduling a dynamic job shop consisting of several multi-purpose machines is a complex combinatorial problem. We will develop mathematical optimization models and study possible solution methods, both analytical and heuristic methods with the aim of developing a fast algorithm that solves this type of flexible job shop scheduling problems within an acceptable time frame so that it is possible to implement in practice.

• Ann-Brith Strömberg

  Professor, Mathematical Sciences

  Ann-Brith Strömberg is Professor of and leads the research group in Mathematical Optimization. Her research includes modelling and solution of optimization problems, including discrete, convex...
• Michael Patriksson

  Professor, Mathematical Sciences

  Michael Patriksson is professor of applied mathematics. His research spans models and algorithms for nonlinear optimization problems and variational inequalities, convex non-differentiable...

​Karin Thörnblad (GKN Aerospace/Chalmers)
Torgny Almgren (GKN Aerospace /Chalmers)