INFORMS Applied Probability Society

The Applied Probability Society is a subdivision of the Institute for Operations Research and the Management Sciences (INFORMS). The Society is concerned with the application of probability theory to systems that involve random phenomena, for example, manufacturing, communication network, computer network, service, and financial systems. The Society promotes the development and use of methods for the improvement of evaluation, control, and design of these systems. Such methods include (stochastic) dynamic programming, queueing theory, Markov decision process, discrete event dynamic systems, point processes, large deviations, reliability, and so on. Our members include practitioners, educators, and researchers with backgrounds in business, engineering, statistics, mathematics, economics, computer science, and other applied sciences.


Top downloads over the last seven days

On patient flow in hospitals: A data-based queueing-science perspective Mor Armony, Shlomo Israelit, Avishai Mandelbaum, Yariv N. Marmor, Yulia Tseytlin, and Galit B. Yom-Tov Stochastic Systems, Volume 5, Number 1 (2015)
A Blood Bank Model with Perishable Blood and Demand Impatience Shaul K. Bar-Lev, Onno Boxma, Britt Mathijsen, and David Perry Stochastic Systems, Volume 7, Number 2 (2017)
Optimal Admission Control for Many-Server Systems with QED-Driven Revenues Jaron Sanders, S. C. Borst, A. J. E. M. Janssen, and J. S. H. van Leeuwaarden Stochastic Systems, Volume 7, Number 2 (2017)
A skill based parallel service system under FCFS-ALIS — steady state, overloads, and abandonments Ivo Adan and Gideon Weiss Stochastic Systems, Volume 4, Number 1 (2014)
An Ergodic Control Problem for Many-Server Multiclass Queueing Systems with Cross-Trained Servers Anup Biswas Stochastic Systems, Volume 7, Number 2 (2017)