方法证据记录
Stochastic Discrete-Event Simulation
Stochastic Discrete-Event Simulation (Stochastic DES) models complex systems by advancing simulated time from one discrete event to the next, drawing event durations and inter-arrival times from fitted probability distributions. It is the standard technique for analyzing queues, manufacturing lines, healthcare pathways, and logistics networks under uncertainty, producing output statistics with confidence intervals.
源记录
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Stochastic Discrete-Event Simulation (Stochastic DES)
分类方法记录 · process-pipeline / simulation
- Banks, J., Carson, J. S., Nelson, B. L., & Nicol, D. M. (2010). Discrete-Event System Simulation (5th ed.). Prentice Hall. · ISBN 9780136062127
- Law, A. M. (2015). Simulation Modeling and Analysis (5th ed.). McGraw-Hill Education. · ISBN 9780073401324
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