A new warehouse, an automation case or a new operating policy is hard to reverse. Testing it first on realistic demand and disruptions means the decision rests on evidence, not a spreadsheet average.
A new building, a re-layout or a change of rack type must meet peak throughput at acceptable cost.
DecisionDoes the design hold up on the busiest days, with how many trucks, docks and staff, and at what cost of ownership?
Vendors quote nominal throughput; operations experiences variability.
DecisionWhat throughput and payback are realistic once variability, downtime and peaks are included?
Yield losses, batch sizes and capacity limits interact across several stages and partners.
DecisionWhere is the bottleneck, how long does material take to reach the market, and what changes it?
A policy such as a months-on-hand target consumes capacity across the whole network.
DecisionWhat does the policy require at each node, and where does it break?