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Restaurant Capacity with a Contingency Buffer

Reserve delivery capacity for variability before promising work.

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Restaurant / cover economics

Restaurant Capacity with a Contingency Buffer

Your result136 units

108512122576136640149704163768Available delivery hours
Other inputs stay fixed. Point labels show the calculated result in units; this is a scenario comparison.

Deliverable units = floor(hours × (1 − buffer) / hours per unit)

What you’ll need

Gather recipe sheets, supplier invoices and stock counts. Include ingredients, service labour, and facility overhead. The starting figures are examples. Replace them with your own records.

Formula and worked example

Deliverable units = floor(hours × (1 − buffer) / hours per unit)

Example figures
InputExample
Available delivery hours640
Hours reserved for disruption15 %
Hours per cover4
Calculated result136 units

Choose reliable inputs

Track purchased quantities, usable yield, labour and waste before deciding on a selling price. For this restaurant calculation, use recipe sheets, supplier invoices and stock counts and a consistent definition of one cover.

  • Ingredients: include the portion belonging to this cover or reporting period, and record where the value came from.
  • Service labour: include the portion belonging to this cover or reporting period, and record where the value came from.
  • Facility overhead: include the portion belonging to this cover or reporting period, and record where the value came from.

Use the same currency for every money input. Do not mix weekly costs with monthly revenue, or count the same expense in both an itemised cost and allocated overhead.

Should every available hour be sold?

The reserve is your scenario assumption; it is not a universal staffing recommendation.

Compare a different assumption

What if this input changes?

If available delivery hours rises by 10%, this example changes by 13 units. This shows the effect of one change; it does not predict what will happen.

Open the calculator, save your baseline, then change the input supported by the least reliable estimate in your records. Compare both scenarios before committing to a price or capacity promise.

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