Blog
Beyond the Numbers
-
Warm-Up for Peak Performance: Optimally Achieving Steady-State in Discrete Event Simulation
The concept of a warm-up period is just as critical in the realm of discrete event simulation as it is in in your exercise routine. Let’s dive into why it is integral to the accuracy of simulation models and how it can be used to reduce compute requirements.
-
Building Confidence: Harnessing the Power of Confidence Intervals in Simulation
In the precision-driven world of discrete event simulation (DES), confidence intervals are the statistical bedrock upon which we base the reliability of our models. They are the quantifiable boundaries that tell us not just what might happen, but how sure we can be about those predictions.
-
Controlled Randomness: How Seeding Shapes Simulation Outcomes
In the intricate dance of discrete event simulation (DES), where each step is choreographed by algorithms and probability distributions, the concept of ‘randomness’ plays a lead role. However, this randomness is not left to chance. Through the practice of random number seeding, we introduce controlled variation into our simulations, a pillar in our series on best practices.
