I need a discrete-event model in Simio that mirrors my manufacturing warehouse, which holds about 88,800 components (three-week inventory) within an overall capacity of roughly 100,000 split between lean lifts and traditional racking. The aim is to understand how close we run to the 80 % utilisation ceiling, assess what happens when the product mix grows, and check how well a few contingency ideas relieve pressure. Core logic • Storage must be capacity-driven, honouring the different rules that govern lean lifts versus racking. • All utilisation figures have to be captured continuously and reported against the 80 % threshold. • The model should favour analytical clarity over visual detail; keep animation minimal. Priority scenarios • Product range expansion (introducing Product 7 and Product 8). • Additional lean lifts brought online. You may still set up a baseline run for comparison, but the focus is on the two cases above. Required outputs • Capacity utilisation metrics by location and in total. • Quantified impact of the new products on storage needs. • Effectiveness of contingency or expansion options. Please build the model so I can open, edit, and run every experiment myself. Good in-line comments, named objects, and a concise write-up of assumptions will be expected. Once you confirm you have relevant Simio experience, I’ll share the full specification and data set.