Curriculum
- 4 Sections
- 18 Lessons
- 2 Days
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- Warranty Management Strategies4
- 0.0Warranty cost drivers and their implications on profitability.
- 0.1Warranty claims data analysis and decision-making using analytics.
- 0.2Strategies to reduce warranty costs (proactive testing, supplier quality improvement, process optimization).
- 0.3Industry case study: How leading auto OEMs improved warranty management using analytics.
- Introduction to Product Reliability5
- 1.0Definition and importance of reliability in product lifecycle management.
- 1.1Key metrics: Mean Time Between Failures (MTBF), Mean Time to Repair (MTTR), Reliability Growth.
- 1.2Examples of reliability failures in the auto industry and their impact.
- 1.3Group discussion: Challenges faced by participants in ensuring reliability during manufacturing.
- 1.4Reliability Quiz: Short quiz to reinforce key metrics and concepts.
- Failure Analysis & Root Cause Identification5
- 2.0Common failure modes in auto components manufacturing.
- 2.1Root cause analysis (RCA) frameworks: Fishbone Diagram, 5 Whys, Fault Tree Analysis.
- 2.2Real-world examples of failure analysis in auto components.
- 2.3Predictive failure analysis using manufacturing analytics.
- 2.4RCA Case Study: Participants analyze a real-world warranty claim to identify the root cause of a failure.
- Application of Analytics in Product Reliability & Warranty4
- 3.0Overview of data analytics tools for reliability and warranty analysis (Pareto analysis, Weibull analysis, regression models).
- 3.1Predictive analytics in preventing failures and improving product quality.
- 3.2Real-world use cases: Predicting failure rates and improving manufacturing processes using data.
- 3.3Hands-on Exercise: Using sample warranty data, participants will analyze trends and propose predictive insights.