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Bicycle repair Economic Order Quantity

Balance order frequency and stock holding under steady demand.

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Bicycle repair / repair order economics

Bicycle repair 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 repair orders, parts invoices and technician time logs. Include parts, workshop time, and collection handling. 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

Separate parts, technician time and bay availability for each repair order. For this bicycle repair calculation, use repair orders, parts invoices and technician time logs and a consistent definition of one repair order.

  • Parts: include the portion belonging to this repair order or reporting period, and record where the value came from.
  • Workshop time: include the portion belonging to this repair order or reporting period, and record where the value came from.
  • Collection handling: include the portion belonging to this repair order 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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