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Deterministic Discrete-Event Simulation/Evidence
Method evidence record

Deterministic Discrete-Event Simulation

Deterministic Discrete-Event Simulation (Deterministic DES) models a system as a sequence of events occurring at precise, pre-specified times using fixed input parameters. Unlike stochastic DES, no probability distributions are sampled; every arrival, service time, and resource availability is known in advance, making runs fully reproducible and producing a single definitive output trajectory.

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Source record

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

Deterministic Discrete-Event Simulation — Event-driven modeling with fixed, non-random inputs
Taxonomic method record · process-pipeline / simulation
  • Banks, J., Carson, J. S., Nelson, B. L., and Nicol, D. M. (2010). Discrete-Event System Simulation (5th ed.). Prentice Hall. · ISBN 9780136062127
  • Discrete-event simulation. Wikipedia. · URL
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

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

Taxonomic bucketDeterministic Markov Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDeterministic System Dynamicsmachine-suggested · Relational suggestion, not evidence.Same method familyDiscrete-Event Simulationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketQueueing Simulationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStochastic Discrete-Event Simulationmachine-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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