Mechanized forest harvesting apprenticeship program.
Faculty mentor/Supervisor: 
Kevin Lyons
Department Affiliation: 
Forest Engineering Resources & Management
Project Location: 
The simulator training will be located at the OSU Corvallis campus. The field work will occur in local forests where Finster Forestry is working and where the student can work from home.
Project Description: 
The Oregon forest industry is becoming increasingly dependent on mechanized harvesting systems to meet its harvesting requirements. This is driven by a shortage of skilled forest labor, a desire to reduce the frequency of severe injuries to forest workers, and to maintain competitiveness in a global economy. The goals of this project are 1) to provide the student with hands on experience in mechanized forest harvesting, 2) to develop an ongoing apprentice program for forestry students by collaborating with local mechanized logging companies, and 3) to provide local high schools with exposure to education in forest operations. Graduating with a detailed formal education in forestry and forest harvesting, combined with hands on experience with equipment, will provide the student with a valuable skill set for a career in modern forest operations. The student will begin training in the OSU mechanize forest harvesting laboratory (MHL) (https://mhl.forestry.oregonstate.edu). In the MHL the student will work through a supervised training regime on the harvesting simulators learning how to run a range of harvesting machines both safely and productively. This project will also be partnering with Austin Finster (https://finsterforestry.com). Austin is a graduate of the OSU Forest Operations Management Program, and now owns a harvester and forwarder specializing in harvesting activities for small land owners. Austin will assist in the simulator training and provide opportunities for field experience in his machines. Austin’s goal is to help develop an operator that he can employ fulltime during the summer months and part time during the following winter. Thus, an undergraduate student is a good fit given Austin’s objectives.
Describe the type of work and tasks you anticipate the student will perform: 
Simulator training: Working in the OSU MHL the mentee will work through a supervised program on the simulators including; 1) forwarder training: machine controls, loading strategies, and machine mobility, 2) harvester training: machine controls, tree falling and processing strategies, trail construction, silviculture treatment application, and machine mobility. (October to December 2022) Oregon Logging Conference: The mentee will work in the MHL to help prepare the simulations for the High School Simulator Competition, and during the OLC the mentee will assist with setup and running the simulator competition (January to March 2023) Field experience: The mentee will work one on one with Austin Finster in either the forwarder or harvester to gain real world experience on the equipment. In addition to providing hands on training for the mentee, Austin will also evaluate the mentee for full time summer employment.
Hourly rate of pay: 
$15.00/hr
What is the expected timeline of this project?: 
x
Are special skills or knowledge required to work on this project?: 
No
Will training be provided?: 
No
How many hours per week do you anticipate a student to work?: 
x
How many hours per week do you anticipate engaging in direct mentorship?: 
x
Detail your mentorship plan: 
I will develop and supervise the simulator training that the student will participate in. I will provide hands on one-to-one instruction on how to use the simulator system, how to operate the different machines, and weekly review of their progress through the training modules. Austin Finster will assist in development of the training modules and will attend the weekly review sessions every second week. Austin will be in the cab with the student while operating the logging equipment in the field during the four field days assigned to this project. In setting up and running the OLC high school simulator competition the student will be working directly with me and my graduate students.