Stochastics Seeds

Stochastic seeds permit reproducing a set of random-numbers. For getting a new set of random-numbers you just have to change one value: the seed. If you reuse a seed, you’ll get the same random-numbers again.

  • The stochastic seed is a basic value for all stochastic distributed values in the simulation from where the random numbers are generated.

  • Running the same experiment twice without changing any parameters will result in two identical results.

  • By changing the stochastic seed between two simulation runs (and by keeping all other parameters unchanged), the results will be different.

  • You can set the Stochastic Seed as an integer in the Must-Have Properties of the General Simulation Properties.

  • You should just try running the same model with a different stochastic seed and then compare the reports.

    • It is indispensable to run multiple simulations on a model, each with different general seeds.

Local Stochastic Seed

  • You can also assign an individual stochastic seed for every stochastic distribution.

  • The individual seed is independent of the general seed.

  • For example, giving the distribution of any activity an individual seed will result in the same values taken from this exact distribution in every simulation

    • even though the general seed could have changed.