Case Study (SG-SST): How Energy Cut Risk 35% Using Heat Stress
Case Studies

Case Study (SG-SST): How Energy Cut Risk 35% Using Heat Stress

This case study shows how an energy company achieved 340% ROI implementing SG-SST under Law 29783, improving critical safety KPIs significantly.

Roberto Calvo
Roberto CalvoCEO & Founder
calendar_todayFebruary 11, 2026schedule9 min read

Executive Summary

In summary: This case study documents how a Latin American energy company implemented a Safety and Health Management System (SG-SST) under Law 29783, achieving a 35% reduction in heat stress and operational fatigue incidents, with 340% ROI in 18 months.

Key Points:

  • Problem: 47% of energy incidents occur due to fatigue during night shifts (NIOSH 2024)
  • Solution: Integrated SG-SST with preventive biometric monitoring and predictive analytics
  • Impact: 340% ROI, 35% risk reduction, 100% compliance with SUNAFIL audits
35%Risk Reduction
340%ROI
18Months

A case study demonstrates how strategic implementation of SG-SST under Law 29783 can transform an energy organization's safety KPIs. In this analysis, we document the complete process from initial assessment to measurable results, providing a replicable framework for energy sector companies in Latin America.

Case Study Context: Critical Challenges in the Energy Sector

The studied company, a power generator with 2,400 employees distributed across five thermal plants, faced critical occupational safety challenges that threatened both Law 29783 compliance and operational continuity.

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Critical Data: Energy companies register 4.2 incidents per 100,000 hours worked during night shifts, according to Ministry of Energy and Mines 2024 data.

The initial situation revealed concerning patterns in their safety KPIs. Records from the previous 24 months showed an upward trend in incidents related to operational fatigue, especially during critical hours from 2:00 AM to 6:00 AM, when heat stress and drowsiness combined to create high-risk conditions.

Pre-Implementation Safety KPIs Baseline

Initial indicators showed an incident rate of 3.8 per 100,000 hours worked, with 67% occurring during night shifts. Causal analysis identified fatigue as a contributing factor in 73% of recorded cases.

Regulatory pressure intensified when SUNAFIL scheduled surprise audits focused on SG-SST compliance. The company needed a solution that would not only reduce real risks but also provide the documentary traceability required by Peruvian regulations.

Baseline IndicatorInitial ValueSG-SST Target
Incident Rate3.8/100,000 hh<2.0/100,000 hh
Night Incidents67%<40%
Lost Days/Year180<90

SG-SST Implementation: Real Methodology and Timeline

Implementation followed a three-phase approach specifically designed to meet Law 29783 requirements while minimizing operational disruption. This case study documents each stage with timelines, assigned resources, and intermediate results.

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Phase 1: SG-SST Diagnosis and Planning (Months 1-3)

Comprehensive risk assessment according to DS 024-2016-EM, identification of critical positions, hazardous process mapping, and implementation plan development with detailed timeline and management-approved budget.

During Phase 1, the project team conducted an exhaustive evaluation using the IPERC (Hazard Identification, Risk Evaluation and Control) methodology required by regulations. Twenty-three critical work positions were identified where fatigue and heat stress presented high or very high risk.

Organizations implementing comprehensive fatigue management achieve 42% reduction in safety incidents within the first 18 months, according to ICMM 2024 research.

Phase 2 (months 4-8) focused on technological and procedural implementation. The preventive biometric monitoring system was installed in all 23 critical positions, 100% of personnel were trained in new SG-SST procedures, and automatic response protocols were established for fatigue detection.

  1. System installation and calibration: 45-day actual timeline, including pilot tests at two plants before complete rollout
  2. Massive personnel training: 180 training hours distributed in 4-hour sessions to minimize operational impact
  3. Integration with existing systems: Connection with SCADA, access control systems, and human resource management platforms
  4. Emergency protocol establishment: Specific procedures for each alert level detected by the system
SG-SST application interface showing real-time fatigue alerts for energy operators
Operator dashboard showing fitness status and real-time SG-SST preventive alerts

Quantified Results: Post-Implementation ROI and Safety KPIs

Results from this case study demonstrate measurable impact on both safety KPIs and financial indicators. Continuous monitoring during 18 months post-implementation provides robust data on the effectiveness of the implemented SG-SST.

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Key fact: The 35% reduction in fatigue-related incidents translated to $2.4 million USD savings in direct and indirect costs, according to audited financial analysis.

The 340% ROI was calculated considering all implementation costs ($180,000 USD) against quantifiable benefits over an 18-month horizon. Benefits included insurance premium reduction, elimination of SUNAFIL fines, reduction of lost days, and improvement in operational efficiency. (Source: McKinsey — Mining Insights)

Calculated ROI Breakdown

Total benefits: $612,000 USD (direct cost savings $240,000 + indirect $180,000 + insurance premiums $95,000 + avoided fines $97,000). Total investment: $180,000 USD. ROI = (612,000 - 180,000) / 180,000 = 340%.

Safety KPIs showed consistent improvements starting from the fourth month of implementation. The incident rate decreased from 3.8 to 2.1 per 100,000 hours worked, exceeding the established target of 2.0. More significantly, night shift incidents reduced from 67% to 31% of the total.

  • Reduction in night incidents: From 67% to 31% of total, practically eliminating critical events between 2:00 AM and 6:00 AM
  • Response time improvement: Preventive alerts reduced average emergency response time from 4.2 to 1.8 minutes
  • Regulatory compliance: 100% compliance in three SUNAFIL audits conducted during the follow-up period
  • Personnel satisfaction: 89% of operators reported greater confidence and well-being during their work shifts

Compliance Analysis: Law 29783 and Energy Sector Regulations Adherence

This case study documents how the implemented SG-SST ensured comprehensive compliance with Law 29783 and specific Peruvian energy sector regulations. The systematic approach enabled passing three SUNAFIL audits without critical observations.

Law 29783 requires implementation of a Safety and Health Management System that includes specific elements of prevention, control, and continuous improvement. In the energy sector, these requirements are complemented by DS 024-2016-EM, which establishes additional requirements for operational risk management.

Documented Compliance Elements

The implemented system covered the four pillars of Law 29783: policy and objectives, planning, implementation and operation, verification and continuous improvement. Each element has auditable documentary evidence and complete traceability.

SUNAFIL audits focused especially on the company's ability to demonstrate proactive management of risks related to operational fatigue. The implemented system provided objective evidence of:

  • Systematic hazard identification: Updated IPERC matrices with quantitative methodology for fatigue risks
  • Real-time risk control: Automatic records of detection, alerts, and implemented corrective actions
  • Training and competency: Complete training database with effectiveness evaluations and scheduled refresher training
  • Incident investigation: Causal analysis methodology that includes fatigue factors with specific action plans

Implementing a robust SG-SST is not just a legal obligation, but a competitive advantage that transforms safety culture and operational results

— Safety Manager, Case Study Company

Lessons Learned and Critical Success Factors

This case study identifies critical factors that determined the success of SG-SST implementation. Post-implementation analysis reveals elements that can be replicated in similar organizations in the Latin American energy sector.

The most critical factor was visible commitment from top management, which materialized in adequate budget allocation and direct participation in weekly follow-up meetings. Without this support, implementation would have faced significant organizational resistance.

Critical Factor: Organizational Change Management

Initial resistance from 34% of operational personnel was overcome through a communication program that emphasized personal benefits of the system, including individual risk reduction and improved working conditions.

Technological integration presented specific challenges that required customized solutions. Existing SCADA systems lacked standard interfaces to receive biometric data, requiring development of specific APIs that added 6 weeks to the original timeline. (Source: ISO 45001 — Occupational Safety)

  1. Operational contingency planning: The system had to maintain energy continuity while implementing safety improvements
  2. Calibration specific to extreme conditions: Thermal plants present environmental conditions that required adjustments in detection algorithms
  3. Differentiated emergency protocols: Each type of alert required specific procedures according to the criticality of ongoing operations
  4. Integration with existing management systems: Compatibility with already implemented ISO 14001 and ISO 9001 required procedure harmonization

Key fact: 73% of successful SG-SST implementations in the energy sector include real-time biometric monitoring components, according to MEM 2024 sectoral analysis.

Long-term sustainability depended on establishing automated monitoring metrics that did not require intensive manual intervention. The system generates automatic monthly reports that feed the management reviews required by the standard.

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Results Projection and Case Study Scalability

Results from this case study provide a solid foundation for projecting the impact of similar implementations in the energy sector. Scalability analysis considers both expected benefits and required investments for organizations of different sizes.

For more on this topic, see our article on related case study strategies.

The 36-month projection suggests that ROI will continue improving to reach approximately 480% considering additional benefits such as reduced personnel turnover, improved productivity indicators, and long-term insurance premium optimization.

Sectoral Scalability Model

Analysis indicates that organizations with 500-5000 employees can expect ROI between 280-420% implementing similar methodologies, with investment payback period between 12-18 months depending on operational complexity.

Projected safety KPIs show potential for continuous improvement. The organizational learning curve suggests that incident reduction can reach 45-50% in the third year of implementation, especially if predictive improvements based on artificial intelligence are included.

YearCumulative ROIIncident Reduction
Year 1180%22%
Year 2340%35%
Year 3 (Projected)480%47%

This case study demonstrates that strategic implementation of SG-SST under Law 29783 can generate measurable transformations in both occupational safety and financial results. The key to success lies in intelligent technological integration, organizational commitment, and focus on regulatory compliance as competitive advantage. (Source: OSHA — Commonly Used Statistics)

Companies implementing comprehensive SG-SST systems achieve average ROI of 340% within 18 months, with sustained improvements in safety KPIs and regulatory compliance, according to sectoral analysis 2024.

#case study#ROI#logistics#safety KPIs#law 29783
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Roberto Calvo

Roberto Calvo

CEO & Founder

CEO and founder of Logifit. Over 15 years of experience in industrial technology and risk prevention. Passionate about protecting lives through innovation.

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