Authors:
Timo Lahteenmaa-Swerdlyk
1
;
François-Alex Bourque
1
and
Slawomir Wesolkowski
2
Affiliations:
1
Centre for Operational Research and Analysis, Development Research and Defence Canada, 60 Moodie Drive, Ottawa, ON K1A 0K2, Canada
;
2
Royal Canadian Air Force, Department of National Defence, 101 Colonel By Drive, Ottawa, ON K1A 0K2, Canada
Keyword(s):
Discrete-Event Simulation, Mentoring, Population Dynamics, Population Model.
Abstract:
The purpose of this work is to investigate the population dynamics of on-the-job training in a military application, a scenario where mentees enter the system to receive training under the supervision of mentors, before becoming mentors themselves. This work builds on the two-level model which only considers the total mentee (level 1) and mentor (level 2) populations. Accumulation of experience is used to denote training progression, improving the tracking of mentees through their training. Two new models are considered: (1) A multi-stage mentee training model, which sub-divides the training into stages the mentees must progress through, and (2) A transport model, a limit case as the number of stages is increased to infinity, resulting in a continuous training medium mentees progress through. These two models are investigated by solving their respective analytical models. To verify system behaviours, analytical solutions are compared to discrete-event simulations.