👉 Fleet math is a branch of combinatorics that deals with the optimization of resource allocation and routing problems involving multiple vehicles or agents. It focuses on determining the most efficient ways to deploy a fleet of vehicles to serve a set of customers or locations, minimizing costs such as fuel consumption, travel time, or operational expenses. The core of fleet math involves solving complex optimization problems where the goal is to find the best set of routes and assignments for each vehicle, ensuring that all demands are met while adhering to constraints like vehicle capacity, service time windows, and travel distances. Techniques from operations research, such as linear programming and integer programming, are often employed to model and solve these problems, providing insights into how to maximize efficiency and minimize costs in logistics and delivery operations.
