We provide a brief introduction to simulation methods and tools within Industrial Statistics. We illustrate both Monte Carlo and discrete event simulation, within a common framework, through several motiovating examples showing the relevance of simulation. We then describe random number and variate generation, and how to obtain and analyse output data from a simulation model. A case study in modelling a workflow line within the digitalisation industry guides our discussion. Relevant pointers to references and url's are provided.