Bayesian inference offers a principled framework for estimating the key parameters of queueing models by combining prior knowledge with observed data. In service and manufacturing environments, ...

"In the analysis of a physical system, the first step is to derive a mathematical model for the system. However, it is important to note that mathematical models, in general, may assume many different ...

Markov chains and queueing theory together provide a robust framework for analysing systems that evolve randomly over time. Markov chains describe stochastic processes where the future state depends ...

Fundamental concepts of probability theory; modeling and analysis of systems having random dynamics, and in particular, queueing systems. Homework, exams and problem-solving sessions. This course is a ...