The trial lecture and the defence of the thesis will be set up as a video-stream. The defence is now closed, and we are happy to announce that the adjudication committee has approved the defence.
Time and place:
- Trial Lecture: Wednesday, 6 May, 10.15
- PhD Defence: Wednesday, 6 May, 12.15
Trial Lecture Title:
“Recent Advances in Quantitative Models and Methods for Emergency Logistics”
Adjudication committee
- Associate Professor María Teresa Ortuño Sánchez, Universidad Complutense de Madrid, Depto. Estadistica e Investigación Operativa
- Associate Professor Peter Schütz, NTNU, Dep. of Industrial Economics and Technology Management
- Professor Irina Gribkovskaia, Molde University College, Faculty of Logistics
Chair of defence
Professor Harald M. Hjelle, Molde University College, Faculty of Logistics
Supervisors
- Professor Lars Magnus Hvattum, Molde University College, Faculty of Logistics (Main supervisor)
- Associate Professor Berit Irene Helgheim, Molde University College, Faculty of Logistics (Co-supervisor)
Additional information
About the thesis:
The dissertation looks at various aspects of emergency preparedness for helicopter accidents in personnel transport to and from oil rigs from a mathematical perspective. We show how mathematics can help improve the emergency response system so that rescue resources can be in place if a helicopter needs to make an emergency landing on the way to the rig. In the future, it may become particularly important in the Arctic, where there is a lack of infrastructure, and the distances between the coast and the rigs may be considerably greater than today's transport distance.
The aim of the PhD work is to contribute to increased security in connection with transporting personnel to oil rigs. At the same time, similar methodologies can be used for other emergency services and emergency services in case of an accident, where it is important to use resources in the best possible way.
The PhD work was done in collaboration with Harstad University College (now UiT after restructuring) and DNV GL.
The PhD thesis may be read in full version here.
Markus Brachner ( age 43) comes from Amstetten in Austria. He holds a BSc. in Computer Science - Software and Information Engineering from Technische Universität Wien, Austria, a
BA in International Logistics Management from University of Applied Sciences in Steyr, Austria and MSc in Logistics from Molde University College from 2013. His PhD-work has been financed by UiT, The Arctic University of Norway and Troms Fylkeskommune (County).