Executive Summary
In summary: This case study documents how a Peruvian mining operation reduced fatigue-related incidents by 67% implementing digital pre-work checklists versus traditional training, achieving DS 024 compliance in 90 days with positive ROI.
Key Points:
- Problem: SUNAFIL identified 340% increase in DS 024 non-compliance penalties in mining sector 2024
- Solution: Phased implementation of digital pre-work assessment versus traditional classroom training
- Impact: 67% incident reduction, $2.4M annual savings, 100% DS 024 compliance
A case study is the systematic evaluation of measurable results obtained after implementing a specific solution. In this analysis, we document how a Peruvian mining operation transformed its safety KPIs by comparing two approaches: digital pre-work checklists versus traditional training, under direct SUNAFIL supervision.
Case Study Methodology: Controlled Experimental Design
The mining operation divided its 2,400 workers into two control groups during 180 days. The first group implemented digital pre-work assessment (Logifit Pre-Work Assessment), while the second continued with traditional classroom training.
Solutions like Logifit Pre-Work assessment identify risks before each shift begins, measuring sleep phases and generating real-time fitness status.
DS 024 Compliance Protocol
Supreme Decree DS 024-2016-EM requires pre-work medical evaluation to detect conditions that compromise safety. Digital evaluation automates this process with biometric validation.
SUNAFIL established the measurement framework with monthly surprise inspections, evaluating three critical safety KPIs: risk detection time, diagnostic accuracy, and cost per evaluated worker.
Critical Data: SUNAFIL reports that 73% of fatal mining accidents in Peru occur during the first 4 hours of shift, when residual fatigue is visually undetectable (SUNAFIL 2024).
| Evaluation Metric | Digital Group | Traditional Group | Difference |
|---|---|---|---|
| Assessment Time | 3.2 minutes | 15.8 minutes | -79% |
| Fatigue Detection | 94% accuracy | 23% accuracy | +309% |
| Cost per Assessment | $1.20 USD | $8.40 USD | -86% |
| DS 024 Compliance | 100% | 67% | +49% |
Comparative ROI: Detailed Financial Analysis
The ROI analysis revealed structural differences between both approaches. Traditional training requires certified instructors, classrooms, printed materials and lost work time, while digital checklists operate with marginal cost near zero per additional evaluation. (Source: McKinsey — Mining Insights)
Systems like Logifit In-Cabin DMS system detect microsleeps and distractions in under 300 milliseconds using infrared computer vision.
Organizations implementing digital pre-work assessment achieve 240% ROI in the first year versus 34% ROI with traditional training, according to SUNAFIL 2024 cost-benefit analysis.
The ROI calculation considered five total cost components:
- Initial technology investment: Smartbands, mobile applications, cloud infrastructure
- Recurring operational costs: Software licenses, technical support, maintenance
- Implementation time: User training, existing systems integration
- Direct savings: Accident reduction, SUNAFIL fines, insurance
- Indirect savings: Productivity, staff turnover, corporate image
DS 024 Cost Model
DS 024 establishes fines up to 100 UIT ($460,000) for pre-work evaluation non-compliance. Prevention cost is 340 times lower than penalty cost.
Safety KPIs: Operational Impact Measurement
The safety KPIs demonstrated statistically significant superiority of the digital approach. Pre-work evaluation detected 67% more cases of work-unfit fatigue than traditional visual observation.
Tools like Logifit Ops Platform integrate biometric data, DMS alerts, and predictive analytics in a centralized dashboard.
Key fact: Workers digitally evaluated as UNFIT had 340% higher incident probability during shift when allowed to work, validating predictive accuracy (NIOSH 2024).
Safety indicators showed sustained improvements during the 180-day evaluation period:
- Frequency Index (FI): Reduction from 12.4 to 4.1 accidents per million worked hours
- Severity Index (SI): Decrease from 340 to 89 lost days per million hours
- Absenteeism Rate: Improvement from 8.7% to 3.2% monthly
- Operational Productivity: 23% increase in production target compliance
FIT/UNFIT Classification Algorithm
The system automatically evaluates deep sleep, REM and wake phases through actigraphy, combined with PVT reaction time testing, generating objective real-time classification.
Implementation Logistics: Timeline and Resources
The implementation logistics followed a phased deployment methodology to minimize operational disruptions. The 90-day timeline was divided into three phases of 30 days each.
Phase 1 (Days 1-30): Infrastructure and Pilot
- Week 1-2: Logifit equipment installation, network configuration, integration with existing SCADA systems
- Week 3-4: Training of 50 supervisors in application use and result interpretation
Phase 2 (Days 31-60): Gradual Deployment
- 200 day shift workers: Complete implementation with daily adoption rate monitoring
- Operational adjustments: FIT/UNFIT threshold calibration based on real data
Phase 3 (Days 61-90): Total Scaling
- 2,400 workers: Complete deployment across three shifts, including contractor personnel
- Compliance integration: Automated reports for SUNAFIL audits
The critical difference wasn't the technology, but objectivity. Biometric data eliminated human subjectivity in work fitness assessment.
— Eng. Carlos Mendoza, Safety Manager| Logistics Resource | Digital Approach | Traditional Approach | Advantage |
|---|---|---|---|
| Required Personnel | 2 technicians | 12 instructors | -83% |
| Physical Space | No requirement | 6 classrooms | 100% |
| Setup Time | 15 days | 45 days | -67% |
| Scalability | Unlimited | 50 people/day | ∞ |
DS 024 Compliance: SUNAFIL Audit and Results
SUNAFIL conducted three surprise audits during the evaluation period, verifying comprehensive DS 024 compliance. Digital evaluation exceeded all regulatory requirements, while the traditional approach showed deficiencies in traceability and objectivity. (Source: OSHA — Commonly Used Statistics)
DS 024 Article 116° Requirements
The regulation requires medical evaluation determining physical and mental fitness before work begins. Must be documented, traceable and verifiable by competent authority.
SUNAFIL auditors evaluated five compliance criteria:
- Complete traceability: Automatic digital record of each evaluation with timestamp, geolocation and biometric data
- Scientific objectivity: Medically validated algorithms versus subjective visual evaluation
- Data availability: Immediate access to historical records for inspection versus physical files
- Information integrity: Immutable blockchain data versus modifiable records
- Universal coverage: 100% workers evaluated versus partial coverage due to logistics limitations
100% of digital evaluations met SUNAFIL standards, versus 67% of traditional evaluations that showed deficiencies in documentation and traceability during audit. (Source: ISO 45001 — Occupational Safety)
Implement Digital Pre-Work Assessment with Guaranteed ROI
Replicate these results in your operation with the Logifit platform. Automatic DS 024 compliance and incident reduction verified by SUNAFIL.
Request Demo →Case Study Conclusions: Lessons Learned and Sustainable ROI
This case study demonstrates that digital transformation of pre-work assessment is not just a technological improvement, but a paradigmatic shift toward data-based prevention. Results are categorical: 67% incident reduction, 240% ROI, and perfect DS 024 compliance.
For more on this topic, see our article on related case study strategies.
Critical case study lessons include:
- Objectivity surpasses experience: Biometric data detects fatigue with 94% accuracy versus 23% expert visual evaluation
- Scalability determines ROI: Near-zero marginal cost enables universal evaluation without logistics limits
- Automated compliance reduces risk: SUNAFIL audits verify documentary and digital traceability superiority
- Technology adoption is critical: 87% initial acceptance rate grew to 96% after effectiveness evidence
2025 Projection: SUNAFIL will implement mandatory digital audits, making digital pre-work assessment a de facto requirement for Peruvian mining operations.
ROI sustainability depends on three factors: maintaining operational discipline, continuous technological updates, and gradual expansion to specialized evaluations (altitude, confined spaces, critical work). The case study establishes replicable precedent for Latin American mining sector under regulatory supervision.