Measure leading and lagging indicators across factory operations. Compare incidents, audits, training, and closures instantly. Turn daily safety data into one weighted performance score.
The page stays in a single-column flow, while the calculator fields shift to three columns on large screens, two on medium screens, and one on mobile screens.
These sample rows show how the index compares different manufacturing plants using the same logic found in the calculator.
| Plant | Hours | Recordables | LTIs | Audit % | Training % | PPE % | SPI | Rating |
|---|---|---|---|---|---|---|---|---|
| Plant A | 150,000 | 2 | 1 | 92.00% | 97.27% | 96.92% | 67.33 | Watch Zone |
| Plant B | 98,000 | 4 | 2 | 81.00% | 88.10% | 91.43% | 31.48 | Critical Attention |
| Plant C | 205,000 | 1 | 0 | 96.00% | 100.00% | 98.71% | 91.73 | World-Class |
The calculator converts raw safety data into normalized scores, then combines those scores through a weighted index.
TRIR = (Recordable Incidents × 200,000) ÷ Hours Worked
LTIFR = (Lost Time Injuries × 1,000,000) ÷ Hours Worked
Severity Rate = (Lost Workdays × 200,000) ÷ Hours Worked
Near-Miss Rate = (Near Misses ÷ Employees) × 100
Training Completion = (Employees Trained ÷ Total Employees) × 100
PPE Compliance = (Compliant PPE Observations ÷ PPE Observations) × 100
Corrective Closure Rate = (Closed Actions ÷ Raised Actions) × 100
Risk Assessment Completion = (Completed Assessments ÷ Planned Assessments) × 100
SPI = Σ(Normalized Metric Score × Weight) ÷ Σ(Weights)
Inverse metrics, such as injuries, score better when values are lower.
Use it during monthly reviews, EHS meetings, plant manager updates, supplier audits, or corrective action follow-up sessions.
Pick the reporting period, weight profile, and benchmark mode. Balanced mode suits most reports. Leading-heavy mode highlights prevention. Lagging-heavy mode focuses more on injury outcomes.
Enter exposure hours, incident counts, lost days, and near misses. Then add training completion, audit score, PPE observations, action closure, and risk assessment data.
Press the calculate button. The results section appears below the header and above the form, showing the SPI, rating, detailed metrics, normalized scores, and graphs.
Use the CSV button for spreadsheets and the PDF button for printable reports. Compare current results with prior periods to identify trend direction and priority actions.
These answers stay brief and plain, with no accordion used anywhere on the page.
It summarizes both prevention quality and incident outcomes into one score. That helps managers compare performance across plants, periods, shifts, or departments without reviewing every metric separately.
Reported near misses often reflect stronger hazard visibility and reporting culture. The model rewards useful reporting because hidden hazards usually create worse long-term safety performance.
Balanced fits most manufacturing scorecards. Leading-heavy is useful when you want prevention indicators to drive behavior. Lagging-heavy is better when management focuses strongly on injury and loss outcomes.
Scores above 90 are excellent. Scores from 80 to 89 are strong. Scores from 70 to 79 are stable. Scores below 60 usually need urgent corrective attention.
No. It is a management index, not a root-cause tool. Use it to spot direction, compare areas, and prioritize action, then review detailed investigations and leading indicators separately.
The closure metric defaults to full completion because no actions are pending. That prevents empty action lists from unfairly lowering the total score.
Hours worked create fair rate-based comparisons. A larger plant may have more incidents in absolute terms, yet still perform better once exposure hours are considered properly.
Yes. The formulas still work, provided the data matches the same period. Just keep hours, incidents, audits, and completion figures aligned to one reporting window.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.