Robotic End-of-Arm Tooling calculator

Delivery Risk Calculator

Delivery Risk for robotic end-of-arm tooling is an FMEA-style Risk Priority Number that scores how dangerous a late gripper, tool changer, or custom EOAT assembly is to your integration schedule. Robotics integrators, automation project managers, and EOAT builders use it to triage which supplier commitments and in-house builds deserve expedite attention before a cell FAT slips. Because a single custom vacuum end-effector can gate an entire robot commissioning window, ranking delivery risks by score lets you spend expedite dollars where they actually protect the go-live date. It converts three gut-feel judgments into one comparable number.

What this calculator does

  • Estimate delivery risk for robotic end-of-arm tooling using production-ready inputs so teams can rank risks and decide which issue needs containment, controls, or escalation first.
  • Use it when delivery risk in robotic end-of-arm tooling needs a defensible ranking against other robotic end-of-arm tooling risks for the next review.
  • It multiplies severity, occurrence, and detection scores for a specific EOAT delivery to produce a single Risk Priority Number.

Formula used

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

Inputs explained

  • Gripper delivery severity (impact if EOAT ships late):
  • Gripper delivery occurrence (likelihood of a slip):
  • Gripper delivery detection (chance you catch it early):

How to use the result

  • Use it during EOAT sourcing and build planning to rank which gripper, tool-changer, or fixture deliveries to expedite or dual-source.
  • RPN treats all three factors as equal weight, so a catastrophic-severity item can be masked by low occurrence — always sanity-check high-severity lines separately.

Current U.S. benchmarks

  • 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.

Common questions

  • How do you calculate delivery risk for end-of-arm tooling? Multiply the three 1-to-10 scores: severity x occurrence x detection. With severity 6, occurrence 4, and detection 3 you get an RPN of 72 on a raw scale (shown here normalized to 4.55), which you then rank against your other EOAT deliveries.
  • What is a good delivery risk score? Lower is better. On a 1-1000 RPN scale, items under ~50 are usually monitor-only, 50-125 warrant a mitigation plan, and anything above ~125 or with severity of 8+ needs an expedite, dual-source, or buffer-stock decision now.
  • Why use severity, occurrence, and detection instead of just a due date? A due date tells you when something is late; it doesn't tell you how badly it hurts. A custom vacuum EOAT with high severity and low detection can wreck a FAT even if it's only slightly late, so the three-factor score exposes hidden risk a calendar misses.
  • Delivery risk vs on-time-delivery percentage — which should I track? OTD is a lagging supplier scorecard metric; delivery risk is forward-looking and per-part. Use delivery risk to decide what to expedite this week, and OTD to decide which EOAT suppliers to keep on the AVL long-term.
  • How do I lower the detection score on a critical EOAT build? Detection improves with milestone check-ins: require a machined-parts photo, a sub-assembly checkpoint, and a pre-ship functional test. Each verifiable milestone lets you catch a slip earlier, which drops the detection number and the overall score.

Last reviewed 2026-05-12.