Warranty Metrics and Analysis
Specialized Training Module for EPC Projects
Warranty management without measurement is guesswork.
In EPC projects, where multiple stakeholders, complex systems, and long lifecycle assets are involved, data-driven warranty analysis is essential to control costs, identify recurring issues, and improve future project performance.
Pertecnica Engineering offers a specialized module on Warranty Metrics and Analysis, designed to help organizations track, interpret, and act on warranty data to drive measurable business outcomes.
Why Warranty Metrics Matter
Most organizations record warranty issues—but fail to analyze them effectively.
This results in:
- Repeated defects across projects
- Inability to recover costs from responsible parties
- Poor visibility into vendor performance
- Weak decision-making due to lack of actionable insights
A structured metrics framework transforms warranty data into strategic intelligence.
Training Objective
This program enables participants to:
- Define and implement key warranty performance indicators (KPIs)
- Analyze warranty trends to identify root causes and risk patterns
- Quantify financial impact and control cost leakages
- Evaluate vendor and subcontractor performance objectively
- Use insights to improve design, procurement, and execution strategies
Core Coverage Areas
Key Warranty Metrics and KPIs
- Warranty claim frequency and density
- Mean Time Between Failures (MTBF)
- Mean Time to Repair (MTTR)
- Cost of warranty per project/component
- Claim resolution cycle time
- Repeat failure rate
Data Collection and Structuring
- Standardizing warranty data formats
- Capturing defect, failure, and repair information
- Integration with QA/QC, commissioning, and O&M data
- Digital tools and tracking systems
Trend Analysis and Pattern Identification
- Identifying recurring defects and systemic issues
- Linking failures to design, materials, or workmanship
- Time-based and component-based analysis
- Early warning indicators for potential failures
Financial Impact Analysis
- Direct vs indirect warranty costs
- Cost allocation across vendors and subcontractors
- Budget forecasting for warranty exposure
- Identifying areas of cost leakage and recovery opportunities
Vendor Performance Evaluation
- Benchmarking suppliers based on warranty data
- Identifying high-risk vendors
- Data-driven vendor selection and contract negotiation
- Strengthening back-to-back warranty enforcement
Root Cause Analysis Integration
- Using warranty data to support RCA methodologies
- Feedback loops into engineering and procurement
- Preventive and corrective action planning
Dashboarding and Reporting
- Designing effective warranty dashboards for management
- Visualization of KPIs for decision-making
- Reporting structures for different stakeholder levels
- Using analytics for continuous improvement
Practical Learning Approach
This module is built around real EPC project data scenarios, including:
- KPI development exercises
- Sample dashboards and reporting templates
- Case studies on recurring failures and cost overruns
- Hands-on analysis of warranty datasets
Participants gain tools they can immediately implement within their organizations.
Who Should Attend
- Project Managers and Engineers
- Contracts & Claims Professionals
- QA/QC and Reliability Teams
- Procurement & Vendor Management Teams
- Operations & Maintenance Personnel
- Data and Performance Analysts
Business Impact
Organizations leveraging warranty metrics effectively achieve:
- Reduction in recurring defects across projects
- Improved cost recovery and financial control
- Better vendor accountability and performance
- Faster and more informed decision-making
- Continuous improvement in project execution quality
Why Pertecnica Engineering
Pertecnica Engineering combines engineering expertise with analytical capability, enabling organizations to move from reactive warranty handling to proactive performance management.
Turn Warranty Data into Strategic Advantage
Warranty information is not just historical data—it is a powerful tool for future success.
With the right metrics and analysis, organizations can reduce risks, optimize costs, and enhance overall project reliability.