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Concrete contractor Economic Order Quantity

Balance order frequency and stock holding under steady demand.

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Concrete contractor / concrete job economics

Concrete contractor Economic Order Quantity

Your result126.491106 units per order

113.149601201,080126.491,200132.661,320138.561,440Annual unit demand
Other inputs stay fixed. Point labels show the calculated result in units per order; this is a scenario comparison.

EOQ = square root(2 × annual demand × ordering cost / annual unit holding cost)

What you’ll need

Gather a completed job sheet, supplier quotes and a crew schedule. Include mix, formwork, and delivery. The starting figures are examples. Replace them with your own records.

Formula and worked example

EOQ = square root(2 × annual demand × ordering cost / annual unit holding cost)

Example figures
InputExample
Annual unit demand1,200
Cost to place one order40
Annual holding cost per unit6
Calculated result126.4911 units per order

Choose reliable inputs

Plan materials, travel and crew time before committing to a price. For this concrete contractor calculation, use a completed job sheet, supplier quotes and a crew schedule and a consistent definition of one concrete job.

  • Mix: include the portion belonging to this concrete job or reporting period, and record where the value came from.
  • Formwork: include the portion belonging to this concrete job or reporting period, and record where the value came from.
  • Delivery: include the portion belonging to this concrete job 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.

When does the EOQ shortcut stop fitting?

Assumes constant demand and lead time, no quantity discounts and no stockouts. Round to supplier pack sizes separately.

Compare a different assumption

What if this input changes?

If annual unit demand rises by 10%, this example changes by 6.1739 units per order. 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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