What are common causes of errors in workflow simulations?

Common causes of errors in workflow simulations include incorrect model assumptions (e.g., inaccurate task durations, resource limitations), data inconsistencies (e.g., missing or corrupted input data), software bugs in the simulation engine, insufficient computational resources, and improper validation of simulation outputs against real-world data. Poorly defined simulation parameters or a lack of sensitivity analysis can also lead to misleading results.