In this paper, we develop a general framework to analyze the influence of system load on service times in queueing systems. Our proposed framework unifies previous results and ties them to possible future studies to help empirical and analytical researchers to investigate and model the ways in...

Motivated by the dispatching of trucks to shovels in surface mines, we study optimal routing in a Markovian finite-source, multi-server queueing system with heterogeneous servers, each with a separate queue. We formulate the problem of routing customers to servers to maximize the system...

We propose and analyze a two-dimensional Markov chain model of an Emergency Medical Services system that repositions ambulances using a compliance table policy, which is commonly used in practice. The model is solved via a fixed-point iteration. We validate the model against a detailed...

Chronic conditions place a high cost burden on the healthcare system and deplete the quality of life for millions of Americans. Digital innovations such as mHealth technology can be used to provide efficient and effective healthcare. In this research we explore the use of mobile technology to...