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Discrete-Event System Simulation/Evidence
Method evidence record

Discrete-Event System Simulation

Discrete-event system simulation (DES) is a computational modelling technique in which the state of a system changes only at discrete points in time — called events — such as a customer arriving, a machine starting, or a job completing. Formalised through foundational texts by Kelton, Sadowski, and Zupick (2014) and Law (2015), DES represents processes as networks of resources, queues, and activities, allowing analysts to test capacity and policy changes on a virtual model before touching the real system.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Discrete-Event System Simulation (Arena / AnyLogic style)
Taxonomic method record · process-pipeline / simulation
  • Kelton, W.D., Sadowski, R.P. & Zupick, N.B. (2014). Simulation with Arena (6th ed.). McGraw-Hill. · ISBN 978-0073401317
  • Law, A.M. (2015). Simulation Modeling and Analysis (5th ed.). McGraw-Hill. · ISBN 978-0073401324
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Curated claims

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyAgent-Based Modelingmachine-suggested · Relational suggestion, not evidence.Same method familyBootstrap Simulationmachine-suggested · Relational suggestion, not evidence.See alsoMONTE-CARLO-SIMULATIONmachine-suggested · Relational suggestion, not evidence.Same method familySystem Dynamicsmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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