Electronics Repair, Refurbishment & Depot Operations worked example

Refurbish vs Replace Decision Score with repair cost impact score of 3 score: a worked example

Here is what the math looks like when conditions slip. We hold every other input steady and drop repair cost impact score to 3 score, then walk the calculation through step by step. Score whether a returned device, module, or board should be refurbished, repaired, harvested, scrapped, or replaced based on cost, risk, and test confidence.

The inputs for this scenario

  • Repair cost impact score: 3 score (the input this scenario stresses; the baseline uses 6)
  • Repeat failure likelihood score: 4 score (held at the documented default)
  • Final test confidence score: 3 score (held at the documented default)

Working through the calculation

  • The calculation starts from the formula this tool documents: Refurbish vs replace decision score = repair cost impact score × 0.40 + repeat failure likelihood score × 0.35 + final test confidence score × 0.25.
  • Refurbish vs replace decision score works out to 3.35 score at these inputs, and this is the headline figure for the scenario.
  • Repair cost impact score works out to 3 score at these inputs.
  • Repeat failure likelihood score works out to 4 score at these inputs.
  • Final test confidence score works out to 3 score at these inputs.

How this compares with the baseline

  • Against the tool's baseline example, where repair cost impact score sits at 6 score and the headline result is 4.55 score, this scenario comes in 26.37% below the baseline at 3.35 score.
  • The practical read: the gap between this scenario and the baseline is entirely attributable to repair cost impact score, so recovering it is worth quantifying in dollars before considering equipment or staffing changes. It is only as good as the scoring rubric behind each input; inconsistent 0-to-N scoring between technicians makes the composite score unreliable, so the rubric must be defined and trained.

Results at a glance

  • Refurbish vs replace decision score: 3.35 score (headline result)
  • Repair cost impact score: 3 score
  • Repeat failure likelihood score: 4 score
  • Final test confidence score: 3 score

Run it with your numbers

  • To rerun this with your own numbers, open the live Refurbish vs Replace Decision Score calculator, set repair cost impact score to your actual value, and adjust the remaining inputs to match your operation.

Last reviewed 2026-05-12.