Reshoring & Tariff Strategy calculator

Country of Origin Cost Risk Calculator

Country of origin cost risk applies a Risk Priority Number (RPN) approach — borrowed from FMEA — to the cost exposures tied to where a part is made. Instead of asking 'how likely is a tariff or disruption,' it forces you to rate severity, occurrence, and detection on a common scale and multiply them, so a low-likelihood but catastrophic exposure still surfaces. Sourcing strategists and risk managers use it to rank countries when one supplier sits in a region facing new tariffs, currency volatility, or logistics fragility. The strength of the method is comparability: scored consistently, every country risk lands on the same number line, making prioritization defensible rather than gut-feel.

What this calculator does

  • Estimate country of origin cost risk for reshoring and tariff strategy using production-ready inputs so teams can rank risks and decide which issue needs containment, controls, or escalation first.
  • Use it when country of origin cost risk in reshoring and tariff strategy needs a defensible ranking against other reshoring and tariff strategy risks for the next review.
  • It multiplies severity, occurrence, and detection scores into a single country-of-origin cost risk priority number for ranking exposures.

Formula used

  • Country of origin cost risk score = country of origin cost risk severity score × country of origin cost risk occurrence score × country of origin cost risk detection score
  • Use the same scoring scale across comparable country of origin cost risk risks.

Inputs explained

  • Country of origin cost risk severity score: Score the impact using the same FMEA, quality, safety, delivery, or business-risk scale used by the team.
  • Country of origin cost risk occurrence score: Score how often the issue appears using defect history, field data, maintenance records, or supplier performance.
  • Country of origin cost risk detection score: Score how likely current controls are to catch the issue before shipment, use, or customer impact.

How to use the result

  • Use it when comparing sourcing countries, building a supplier risk register, or prioritizing which origin exposures to mitigate first.
  • RPN treats all three factors as equally weighted multipliers, so a high-severity, near-undetectable risk can score the same as a frequent minor one — always review the raw severity score alongside the product.

Current U.S. benchmarks

  • Sourcing currencies as of 2026-07-02 (Federal Reserve H.10): 6.7886 CNY and 17.4524 MXN per USD. Landed-cost comparisons move with these daily rates.
  • U.S. iron and steel imports ran $2.1B in May 2026 (Census International Trade). The U.S. ran a trade deficit of $0.4B in the category that month. Import volumes are the pressure gauge behind tariff and reshoring decisions.

Common questions

  • How do you calculate a country-of-origin cost risk score? Rate severity, occurrence, and detection on the same scale, then multiply them. With severity 6, occurrence 4, and detection 3, the model returns a risk score around 4.55 on the normalized scale used here.
  • What do severity, occurrence, and detection mean here? Severity is how badly a cost exposure hurts if it lands; occurrence is how often it's likely to happen; detection is how hard it is to see coming. Higher detection scores mean lower visibility, which raises risk.
  • What is a good country-of-origin risk score? Lower is better. Because the score is a product of three factors, a single high input drags the whole number up. Set a threshold (for example, flag the top quartile of your scored countries) rather than chasing an absolute target.
  • Why use RPN instead of a simple probability estimate? A probability-only view buries low-likelihood, high-impact risks. Multiplying in severity and detection ensures a rare but devastating or invisible exposure ranks high enough to get attention.
  • How should I set the scoring scale? Use the same scale — commonly 1 to 10 — for every country and every factor. Consistency is what makes the scores comparable; mixing scales destroys the ranking's validity.

Last reviewed 2026-05-12.