Food Service — Operational Digital Twin

Food Service — Operational Digital Twin

Order · kitchen · robot delivery · tray pickup · Center for Supply Chain Studies
Day clock
00:00

Demand & resources

Travel time scales both robot delivery and cart pickup — it stands in for kitchen placement, floor distances, and elevator access. Moving the kitchen further degrades two stages at once.

Meal flow

Speed
Ordered — awaiting a kitchen station0
Kitchen prep stations0/14 cooking
Prepared — awaiting a robot0
Delivery robots0/11 active
Finished trays — awaiting pickup0
Pickup staff0/6 active
Constraint.
Recently delivered
  • Nothing delivered yet.
BreakfastLunchDinnerÀ la carte

Operational metrics

Order-to-delivery (median)
—
Delivered within 45 min
—
Meals delivered
—
Robot utilization
—
Trays awaiting pickup
—
Pickup lag (median)
—
Meals awaiting deliveryacross the day

Compare scenarios

Pin a finished run as Scenario A, change a lever, run again, and the difference shows here.
Demonstration miniature. Production twins run on AnyLogic Private Cloud with the facility's Revit geometry, room-service order history, robot fleet telemetry, and kitchen staffing, surfaced through Power BI. Travel time reflects kitchen placement and floor layout — a design lever. Center for Supply Chain Studies · Decision Laboratory
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