This paper proposes a new approach, entitled discrete event simulation with probabilistic event list (DESPEL), for approximating the project completion time and the critical path in a stochastic resource–constrained project network. Unlike the traditional discrete event simulation approach,...

We present two capacity choice scenarios for the socially optimal location of facilities with fixed servers, stochastic demand and congestion. Walk-in health clinics, motor vehicle inspection stations, automobile emissions testing stations, and internal service systems are motivating examples...

We outline the history, significance, and impact of four important contributions by Canadian researchers to stochastic modeling for operational research: the use of the uniformization method to compute transient probabilities for Markov chains, pioneered by Winfried K. Grassmann, contributions...