VisuApps
From project brief to a robust project plan: reviewing AI plans, data basis and quantity framework, ABC and XYZ, KPIs, project risks and reading AI images critically, using the fictitious distribution centre DC Neckar.
Apps
ABC analysis as a Lorenz curve by revenue and by picks, XYZ via the coefficient of variation, an ABC-XYZ matrix and a pallet warehouse where you compare slotting by revenue ABC, pick ABC or at random, with travel per pick and per day. Case DC Neckar with 5,200 items.
Warehouse planning with AITry it
An AI produced the project plan for distribution centre DC Neckar: tidy but incomplete. Add missing work packages and milestones, fix dependencies and watch the critical path and project end jump live, with a 50-point score sheet.
Warehouse planning with AITry it
A warehouse year day by day: turnover, coverage, dwell time and service level all come from the same stock curve and visibly depend on each other. In check mode, four AI dashboards with built-in contradictions, such as 8.2 turns and 64 days of coverage (365 / 8.2 = 44.5).
Warehouse planning with AITry it
Place thirteen numbered project risks of distribution centre DC Neckar, each as a chain of cause, event and effect, in the 5×5 matrix, compare with an expert rating and choose measures: the dot moves to the residual risk, the reserve shrinks. Plus an AI risk list to check and a 60-point score sheet.
Warehouse planning with AITry it
A corrected data chain of master, movement, order and stock data sizes a 3D warehouse: quantity framework for the design year and design day, pallet locations, rack rows, docks and floor area visibly grow. Leave out a data layer and see what can no longer be determined or goes missing. Case DC Neckar.
Warehouse planning with AITry itWant to use these apps in your courses? Let’s find out what works for you.
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