👉 Brad Math, developed by Brad Miller, is a framework for modeling and solving complex systems through the lens of discrete event simulation (DES) and queuing theory, emphasizing the interplay between system dynamics and stochastic processes. It centers on modeling systems as a sequence of discrete events—such as arrivals, departures, or resource allocations—that occur at specific points in time, capturing how these events propagate through the system. A core concept is the "Brad Cycle," a mathematical structure that decomposes the system into phases (e.g., arrival, service, departure) with associated probabilities and time intervals, enabling the calculation of key metrics like average waiting times, queue lengths, and system throughput. By combining DES with queuing models (e.g., M/M/1) and Markov chains, Brad Math provides a rigorous way to analyze and optimize systems with uncertainty, making it particularly useful for logistics, healthcare, and telecommunications where timing and resource allocation are critical.
