Start with an engineering decision
Frame a bounded question: buffer size for a burst, priority effects on delays or throughput loss from an unavailable outlet. Define inputs, decision variables and metrics before building. An attractive animation is not a verifiable conclusion.
Distinguish capacity simulation from interface emulation. One can abstract communication; the other must reproduce the contract needed to test WCS. Their evidence is not interchangeable.
Variability and initial state
Uniform averages conceal bursts and queues. Examine distributions, correlation and seasonality where data exists; otherwise declare assumptions and explore plausible ranges.
An empty initial warehouse can overstate performance. Define warm-up, duration and termination policy. A finite shipping-window study should represent that window rather than automatically discarding its beginning.
Repeat fairly
For stochastic models, record seeds and run replications. Compare equivalent input profiles and report variation. Measure useful deliveries, waiting time, maximum occupancy and the slowest-task tail. Better averages can conceal worse delays.
Check conservation: admitted loads must be delivered, present or in exception. Missing model loads can create false capacity. Zero arrivals and blocked outlets are useful extreme tests.
Worked release-policy comparison
Policy A releases every eligible task; B limits work in process per destination. Under equivalent demand, compare throughput and recovery after an outlet stop. B may reduce congestion, but an overly low limit can starve resources. Explore a range rather than one favorable setting.
Record configuration, seeds, assumptions and results. Validate findings at the appropriate test level before operational use. A study should expose trade-offs and uncertainty, not guarantee performance from one run.
Project verification criteria
- Define hypothesis, metric and comparison conditions first.
- Check load conservation and extreme cases.
- Repeat scenarios and report variation and validity limits.
Examples describe engineering decisions and test scenarios. Implemented interfaces, limits and features are defined by each project’s scope.