Benchmark Gensuite > Case Studies > Heico Calls on AI to Predict & Prevent Potentially Serious Injuries and Fatalities (pSIFs)

Heico Calls on AI to Predict & Prevent Potentially Serious Injuries and Fatalities (pSIFs)

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Company Size
1,000+
Region
  • America
Country
  • United States
Product
  • Benchmark pSIF AI Advisor™
  • Benchmark ESG | Gensuite Modules
  • Incident Management System
Tech Stack
  • Artificial Intelligence
  • Machine Learning
  • Data Analysis
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Employee Satisfaction
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Big Data Analytics
  • Analytics & Modeling - Machine Learning
Applicable Industries
  • Construction & Infrastructure
  • Metals
Applicable Functions
  • Maintenance
  • Quality Assurance
Use Cases
  • Machine Condition Monitoring
  • Predictive Maintenance
  • Root Cause Analysis & Diagnosis
Services
  • Data Science Services
  • System Integration
About The Customer
The Heico Companies is a holding company with a diverse industrial portfolio. It owns more than 70 firms operating at different risk levels, including metal processing, construction, and industrial technologies. The company operates across mixed verticals in multiple regions, making the management of Serious Injuries and Fatalities (SIFs) particularly challenging. The company needed a comprehensive approach to reducing SIF and potentially Serious Injuries and Fatalities (pSIF) events across varied industries and geographies.
The Challenge
The Heico Companies, a holding company with a diverse industrial portfolio, was facing challenges in identifying and managing Serious Injuries and Fatalities (SIFs) across its various firms. Traditional approaches to reducing SIF potential, such as Heinrich’s Safety Triangle, were proving inadequate as they often misidentified the fundamental issues causing SIF events. The company needed a more nuanced method to reduce SIF rates, especially given its global presence and mixed portfolio. The challenge was to identify tasks with high potential for SIFs rather than focusing on more common severe or non-injury events. Additionally, the company needed to understand industry or region-specific workplace situations with high SIF potential.
The Solution
To address these challenges, Heico implemented the Benchmark pSIF AI Advisor, a tool developed by Benchmark Digital Partners and Bowers Management Analytics. This tool uses Machine Learning and advanced data analysis to identify potentially Serious Injuries and Fatalities (pSIFs). The AI Advisor was implemented through a one-time data analysis of 20,000 data points between 2018 and 2020, identifying 699 pSIFs with 95% accuracy. These findings were incorporated into Heico's firm-wide plan for continuous improvement in dealing with the root causes of pSIFs. The AI Advisor provides a holistic, firm-wide approach to tracking, identifying, and minimizing pSIFs through standardized data analysis. This allows for more actionable insights compared with traditional methods.
Operational Impact
  • The AI Advisor identified 699 potentially Serious Injuries and Fatalities (pSIFs) with 95% accuracy.
  • The company was able to incorporate these findings into its firm-wide plan for continuous improvement in dealing with the root causes of pSIFs.
  • The AI Advisor provided a holistic, firm-wide approach to tracking, identifying, and minimizing pSIFs through standardized data analysis.
Quantitative Benefit
  • The AI Advisor identified 699 potentially Serious Injuries and Fatalities (pSIFs) with 95% accuracy.
  • The tool was able to identify pSIFs faster and more accurately than manual techniques.

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