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Dmytro Krushynskyi

Lecturer in Operations Research and Logistics at Wageningen University & Research

Wageningen University & Research

Areas of expertise

  • - Algorithms
  • - Business administration
  • - Complex systems
  • - Computer techniques
  • - Decision making
  • - Decision models
  • - Discrete simulation
  • - Heuristics
  • - Logistics
  • - Mathematics
  • - Modeling
  • - Numerical methods
  • - Optimization
  • - Optimization methods
  • - Simulation

Major works

Courses and Programs taught by dr. D (Dmytro) Krushynskyi PhD

Publications by dr. D (Dmytro) Krushynskyi PhD

An adaptive large neighborhood search heuristic for the share-a-ride problem. Li B., Krushinsky D., Van Woensel T., Reijers H.A. (2016). Computers & Operations Research 66, p. 170-180

An approach to the asymmetric multi-depot capacitated arc routing problem. Krushinsky D., Van Woensel T. (2015)
European Journal for Operational Research 244(1), p. 100-109

The Share-a-Ride Problem: People and Parcels Sharing Taxis. Li B., Krushinsky D. , Reijers H.A., Van Woensel T. (2014). European Journal for Operational Research 238(1), p. 31-40

Flexible PMP approach for large size cell formation. Goldengorin B., Krushinsky D., Slomp J. (2012). Operations Research 60, p. 1157-1166

An exact model for cell formation in group technology. Krushinsky D *., Goldengorin B. (2012). Computational Management Science 9(3), p. 323-338

Social links

About me

Dr Dmitry Krushinsky holds a M.Sc. degree in Applied Mathematics from the National Technical University of Ukraine "KPI" and a Ph.D. in Economics and Business from the University of Groningen. After receiving his PhD degree, he spent 3 years at Eindhoven University of Technology as a postdoc.

In the recent years, he focused on transportation problems (arc routing, ridesharing). Dr. Krushinsky's PhD research is held within the field of operations research and industrial engineering. He studied the cell formation problem in group technology from a perspective of formulating a flexible (w.r.t additional constraints and objectives) model capable of producing guaranteed optimal or close-to-optimal solutions in reasonable time.

Before starting his PhD in Groningen dr. Krushinsky was involved in research on modelling of pedestrian crowds movement. He also served as a reviewer for the European Journal of Operations Research, International Journal of Production Research, Proceedings in Mathematics.

His research interests lie mainly in the areas of applied operations research, mathematical modelling of complex systems, and routing, location and network design problems.