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Mobile mechanic Material Order in Whole Packs

Round a material requirement to actual purchasable packs.

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Mobile mechanic / repair visit economics

Mobile mechanic Material Order in Whole Packs

Your result8 packs

768.8877.4886994.610103.2Net quantity needed
Other inputs stay fixed. Point labels show the calculated result in packs; this is a scenario comparison.

Packs = ceiling(net quantity × (1 + waste) / pack quantity)

What you’ll need

Gather repair orders, parts invoices and technician time logs. Include parts, travel, and diagnostic time. The starting figures are examples. Replace them with your own records.

Formula and worked example

Packs = ceiling(net quantity × (1 + waste) / pack quantity)

Example figures
InputExample
Net quantity needed86
Waste allowance10 %
Units per supplier pack12
Calculated result8 packs

Choose reliable inputs

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

  • Parts: include the portion belonging to this repair visit or reporting period, and record where the value came from.
  • Travel: include the portion belonging to this repair visit or reporting period, and record where the value came from.
  • Diagnostic time: include the portion belonging to this repair visit 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 I round before or after the waste allowance?

Apply waste before rounding. The allowance adds to net need; it is not a percentage loss from purchased quantity.

Compare a different assumption

What if this input changes?

If net quantity needed rises by 10%, this example changes by 1 packs. 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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