Past challenges and the future of discrete event simulation

The American scientist Carl Sagan once said: “You have to know the past understand present.” We argue that having a meaningful dialogue on future of simulation requires baseline understanding previous discussions its future. For this paper, we conduct review discrete event (DES) literature focuses better path DES has been following, both in terms who is using and what directions they think should take. Our involves qualitative quantitative bibliometric analysis Modeling Simulation (M&S) literature. results from study imply demographics M&S community are rapidly changing, nations use academic disciplines which new simulationists hail. This change potential help aid face some challenges. indicates still faces significant challenges: these include integrating human behavior; for exploration, not replication; determining return investment; communication issues across splitting community.