JOURNAL ARTICLE

Past challenges and the future of discrete event simulation

Andrew J. CollinsFarinaz Sabz Ali PourCraig Jordan

Year: 2021 Journal:   The Journal of Defense Modeling and Simulation Applications Methodology Technology Vol: 20 (3)Pages: 351-369   Publisher: SAGE Publishing

Abstract

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

Keywords:
Demographics Event (particle physics) Computer science Discrete event simulation Replication (statistics) Baseline (sea) Data science Management science Face (sociological concept) Operations research Sociology Simulation Social science Engineering Political science Mathematics Statistics

Metrics

32
Cited By
3.67
FWCI (Field Weighted Citation Impact)
71
Refs
0.93
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Simulation Techniques and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Business Process Modeling and Analysis
Social Sciences →  Business, Management and Accounting →  Management Information Systems
Healthcare Operations and Scheduling Optimization
Health Sciences →  Health Professions →  Emergency Medical Services

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