Past challenges and the future of discrete event simulation

Author(s):  
Andrew J Collins ◽  
Farinaz Sabz Ali Pour ◽  
Craig A Jordan

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.

2018 ◽  
Vol 38 (5) ◽  
pp. 1228-1244 ◽  
Author(s):  
Andrew Greasley ◽  
Chris Owen

Purpose The purpose of this paper is to provide a contribution to the area of behavioural operations management (OM) by identifying key challenges in the use of discrete-event simulation (DES) to model people’s behaviour in OM. Design/methodology/approach A systematic literature review method is undertaken in order to assess the nature and scale of all publications relevant to the topic of modelling people’s behaviour with DES in OM within the period 2005-2017. Findings The publications identified by the literature review reveal key challenges to be addressed when aiming to increase the use of DES to model people’s behaviour. The review also finds a variety of strategies in use to model people’s behaviour using DES in OM applications. Research limitations/implications A systematic literature review method is undertaken in order to include all publications relevant to the topic of modelling people’s behaviour with DES in the OM domain but some articles may not have been captured. Originality/value The literature review provides a resource in terms of identifying exemplars of the variety of methods used to model people’s behaviour using DES in OM. The study indicates key challenges for increasing the use of DES in this area and builds on current DES development methodologies by presenting a methodology for modelling people’s behaviour in OM.


Author(s):  
Paul Beery ◽  
Timothy Byram ◽  
Eric Gatley ◽  
Kristin Giammarco ◽  
Richard Williams ◽  
...  

This paper conducts an operational analysis of legacy and future mine warfare systems using discrete event simulation. The research focuses on a comparative analysis of the MCM-1 Avenger ship, supported by the MH-53E helicopter, and the Littoral Combat Ship, supported by external unmanned systems, in active, defense mine countermeasures operations. The paper develops architectural representations of the functional activities associated with mine countermeasures operations, as well as architectural representations of past, current, and potential future physical entities involved in minehunting and mine neutralization. Those architectural representations are used as the basis for the development of two distinct discrete event simulation models, one corresponding to legacy (MCM-1 Avenger) operations and another corresponding to future (Littoral Combat Ship) operations. The results of the simulation are analyzed using statistical regression. The regression results indicate that the key performance drivers for both the legacy and future systems show considerable overlap, and also suggest that the legacy assets meet or exceed the performance of future assets in several measures of effectiveness. The simulation model for the future assets is reconsidered to develop recommendations regarding alterations to the future force that enable the future force to exceed the operational performance of the legacy force.


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