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 75.7% of capacity with new factory orders at $663B per month (Federal Reserve and Census, Aug 2026).
  • Global copper trades at $13,543 per tonne (IMF via FRED, Jul 2026), up 38.6% in a year, and U.S. industrial electricity averages 9.77 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.
  • Should I dual-source based on this score alone? Use it as the trigger, not the whole decision. A high score flags candidates for dual-sourcing, but weigh qualification cost, lead time, and the regulatory burden of adding an approved supplier.

Last reviewed 2026-07-02.