Simon Berg

The majority of my work at NIBIO has revolved around managing and analysing large data sets. This work can be categorised into three main areas: analysing StandForD-files from forest machines, conducting extensive simulations of forest machines, and studying CANBUS data from timber trucks. In addition to this work, I have participated in more traditional forest operation research, such as time studies and work quality measurements.

Previus experiance
My academic journey began at the Swedish University of Agricultural Sciences (SLU), where I pursued a forester education (Master of Science in Forestry). My studies focused on raw material supply and production planning. I furthered my education at SLU with PhD studies in forest technology, considering "Technology and Systems for Stump Harvesting with Low Ground Disturbance". Following my PhD, I spent a year as a postdoctoral researcher at the University of Tokyo. There, I worked with small forwarders in steep terrain. I then returned to SLU to work on logistics around terminals and the transfer of GIS knowledge.

My PhD project, in more detail, included measuring ground disturbance, simulating the productivity of different stump harvesting systems, analysing costs, developing an experimental rig for stump twisting, and conducting time studies. This PhD project was part of the research school FIRST, which led me to spend a year on other research studies. These studies encompassed measuring temperature and gas emissions during the storage of peat and sawdust, conducting productivity studies, and investigating the variation in moisture content of forest fuel chips to estimate the necessary number of samples for different measurement precision. As a post-doc, my work included productivity studies and cost analysis of Japanese forwarders and separate loaders in steep terrain. I also collaborated on a study about the comminution of forest fuel. During my second tenure at SLU, I work with the potential benefits of open terminals and conducted an economic evaluation of different terminal locations, considering harvest, transportation, and capital costs.