A scheduling parameter may seem reasonable on its own—but can still cause problems when combined with other settings.

For example, placing a larger order may reduce the number of orders. At the same time, inventory levels and tied-up capital may increase. Whether the change makes economic sense depends on several factors.

That is precisely why planning decisions should be evaluated based on their interactions.

Using the digital twin in DISKOVER, you can simulate and compare alternative settings based on real data. This reveals how different planning and control rules can affect inventory levels, service levels, and costs.

For me, it is crucial that a recommendation can be justified: What impact do we expect—and what is the basis for that expectation?

Read more about the simulation-based approach in the blog post.