Surgical Robotics Manufacturing calculator

Supplier Risk Calculator

Supplier risk is an FMEA-style priority score that ranks how dangerous a given supplier or purchased component is to a surgical robotics build, combining the severity of a failure, how often nonconformance occurs, and how likely incoming inspection is to catch it. Supply-chain and supplier-quality engineers use it to decide which vendors need audits, dual-sourcing, or tighter incoming QC. In surgical robotics, a single out-of-spec motor, encoder, or sterilizable polymer can compromise a life-safety system, so blind reliance on price or lead time is not enough. This score makes supplier exposure comparable and rankable across the bill of materials.

What this calculator does

  • Estimate supplier risk for surgical robotics manufacturing using production-ready inputs so teams can rank risks and decide which issue needs containment, controls, or escalation first.
  • Use it when supplier risk in surgical robotics manufacturing needs a defensible ranking against other surgical robotics manufacturing risks for the next review.
  • It computes a risk priority number by multiplying the severity, occurrence, and detection scores for a specific supplier or purchased-part failure mode.

Formula used

  • Supplier risk score = supplier risk severity score × supplier risk occurrence score × supplier risk detection score
  • Use the same scoring scale across comparable supplier risk risks.

Inputs explained

  • Supplier-failure severity (impact on the surgical system):
  • Supplier-failure occurrence (likelihood of nonconformance or disruption):
  • Supplier-failure detection (chance incoming QC catches it):

How to use the result

  • Use it when segmenting the supplier base, planning audit schedules, or deciding where to add second sources or tighten incoming inspection.
  • An ordinal 1-10 multiplication can tie very different suppliers at the same score, so use it to triage rather than as the sole basis for a sourcing decision.

Current U.S. benchmarks

  • U.S. manufacturing runs at 75.6% of capacity with new factory orders at $657B per month (Federal Reserve and Census, May 2026).
  • Global copper trades at $13,484 per tonne (IMF via FRED, May 2026), up 41.5% in a year, and U.S. industrial electricity averages 8.66 cents per kWh. Both feed electrified-hardware unit economics.
  • The U.S. has 8,825 medical equipment and supplies establishments employing about 308,388 workers (Census County Business Patterns, 2023).

Common questions

  • How do you calculate supplier risk score? Multiply the supplier-failure severity, occurrence, and detection ratings. With this calculator's weighting on severity 6, occurrence 4, and detection 3, the resulting supplier risk score is about 4.55.
  • What is a good supplier risk score? Lower is better and there is no universal cutoff; leading supplier-quality teams set an internal action threshold and require mitigation (audit, dual-source, containment) for any supplier scoring above it.
  • How is supplier risk different from documentation risk? Both use the same severity-occurrence-detection math, but supplier risk scores a purchased-part failure mode while documentation risk scores a records gap. Keeping the scale identical lets you compare them side by side.
  • What makes a critical-component supplier high risk? A supplier whose part failure severely impairs the system, that has a history of nonconformance, and whose defects are hard to catch at incoming inspection scores high on all three factors and multiplies into a large score.
  • How do I reduce a supplier's risk score? Severity is largely fixed by the part's function, so lower occurrence (supplier development, process capability, PPAP) and detection risk (tighter incoming QC, source inspection) to shrink the product.

Last reviewed 2026-05-12.