Optimal fleet management and rapid scheduling

We examine and compare a variety of modelling frameworks to analyse and optimise a fleet management schedule. Given a set of tasks, in addition to the skills and availability of collaborators and vehicles we generate work schedules adhering to the priorities of TECMIC including minimising the number of collaborators used, minimising breaks, and minimising collaborator overtime. The objective being to uncover the optimal schedule with respect to their priorities. We evaluate potential schedules using a cost function defined by TECMIC's objectives, and aim to minimise the cost function with a genetic algorithm. In addition, we propose a systematisation of the problem in terms of integer programming.