UNDERSTANDING TL9000 MEASUREMENT REQUIREMENT – RELEASE 6.3

INTRODUCTION FOR UNDERSTANDING TL9000 MEASUREMENT REQUIREMENT – RELEASE 6.3

This 2 days Understanding TL9000 Measurement Requirement – Release 6.3 is based on Ten Essential Reliability Measurement Metrics for Information and Communication Technology (ICT) that participants shall adhere to and apply to promote organizational measurement improvements in the following areas: Essential Reliability Measurement Metrics for Software Quality, Challenges in Capturing and Interpreting Reliability Metrics, Observability Tools for Enhanced Reliability Monitoring.

LEARNING OBJECTIVES

To review and identify the gaps with reference to TL9000 Measurement standards:

• Understand New Product and New Technology Introduction Measures
• Review current TL 9000 – 6. 3 standards adequacy, maturity and compliance in measurement
• Know about Essential Reliability Measurement Metrics for Software Quality
• Know What are Reliability Metrics and Why do they Matter?
• Why Reliability Metrics Matter?
• Able to understand and apply all the Ten Essential Reliability Measurement Metrics
• Know How to Choose the Right Reliability Metrics?
• Understand the Challenges in Capturing and Interpreting Reliability Metrics
• Know all the Observability Tools for Enhanced Reliability Monitoring

TARGET AUDIENCE

Management team, Internal auditors, QMS Team, IT team.

TRAINING METHODOLOGY

• Lectures based on TL9000 – 6.3: ICT Standards and Documents
• Group discussions and presentations
• Pre Test / Post Test Assessment
• Training Evaluation to establish learning outcome
• Selected video clips

COURSE CONTENTS

Day 1 Training Topics – 9.00am to 5.00pm

Pre Test – Participant’s Knowledge Assessment

New Product and New Technology Introduction

1. Product design
2. Product process build
3. Process validation
4. Process Verification – 1^st Article Built
5. Buy-Off by Production
6. Mass Production
7. Quality Policy – QTEC
8. Zero Defect
9. 1, 2 and 3 Defect Triggering
10. Quality versus Yield
11. Machine Productive Maintenance
12. OEE – Overall Equipment Effectiveness
13. APQ – Machine Availability, Performance and Quality
14. Lean – Six machine wastes
15. Machine downtime
16. Machine Preventive Maintenance – PM
17. Machine Predictive Maintenance
18. Data collection and Analysis
19. Measurement Verification
20. GR&R – Gaging for Repeatability and Reproducibility
21. Life-cycle model
22. Requirements for products and services
23. Changes to requirements: design and development
24. Hazard Evaluation – Aspects and Impacts
25. Risk Management – Risks Severity – Low, Medium and High
26. Risk Matrix Tool
27. FMEA – Failure Mode Effect Analysis
28. FMEA Design
29. FMEA Process

Essential Reliability Measurement Metrics for Software Quality

1. Goal – Creating reliable and high-quality products
2. Reliability Metrics – Set of Measurement Indicators – Dashboard Metrics
3. Help developers, product teams, and companies understand – Performance of software applications – User friendliness
4. Monitoring metrics

• Catch issues before they affect users
• Reduce system downtime
• Make more informed development decisions.

What are Reliability Metrics and Why do they Matter?

1. Reliability metrics are measurable indicators
2. Assess the stability, dependability, and overall quality of a software system.
3. Evaluate the likelihood that a system will perform its intended functions
4. Nil failure under specified conditions for a defined period.
5. Ensures Software quality, user satisfaction, and system dependability.

Why Reliability Metrics Matter

1. Measure System Performance
   • Metrics help identify system weaknesses and areas for improvement.
2. Enhance User Trust: Reliable software ensures a positive user experience and builds trust.
   • Support Decision-Making
   • Reliability data guide developers and stakeholders in prioritizing fixes and updates.
3. Reduce Downtime Costs
4. Monitor metrics – MTTR and MTB
5. Organizations can minimize system downtime.
6. Maintain SLA Compliance
   • Meeting reliability expectations ensures compliance with Service Level Agreements (SLAs).

  Day 2 Training Topics – 9.00am to 5.00pm

  Ten Essential Reliability Measurement Metrics

• Function: Metrics are critical in measuring and improving software quality.
• Provide actionable insights into performance, reliability, and overall system health.
• Misinterpreting Metrics Due to Lack of Context

Ten Essential Reliability Metrics – Monitor

1. Mean Time Between Failures (MTBF)
2. Mean Time to Failure (MTTF)
3. Mean Time To Repair _(MTTR)
4. Availability
5. Uptime
6. Error Rate
7. Defect Density
8. Failure Rate
9. Probability of Failure on Demand (POFOD)
10. Customer-Reported Defects

How to Choose the Right Reliability Metrics?

1. Define Your Reliability Objective
2. Match Metrics to Your Goals
3. Set Clear, Measurable Targets
4. Select the Right Tools for Data Collection
5. Embed Metrics into Your Workflow

Challenges in Capturing and Interpreting Reliability Metrics

1. Inconsistent Data Collection
2. Incomplete or Missing Data
3. Misinterpreting Metrics Due to Lack of Context
4. Over-focusing on a Single Metric
5. Balancing Multiple Metrics

Observability Tools for Enhanced Reliability Monitoring

1. Unified Observability
2. Distributed Tracing
3. Customizable Dashboards
4. Alerting and Notifications
5. Open Telemetry Integration

Implementation Guide: Integrating SigNoz into Your Reliability Monitoring Process

Step 1: Create a SigNoz Cloud Account

Step 2: Connect Your Application to SigNoz Cloud

Step 3: Instrument Your Application

Step 4: Explore SigNoz Cloud Dashboard

Step 5: Set Up Alerts

Future Trends in Software Reliability Metrics

1. Emerging Metrics for Modern Architectures
2. AI & Machine Learning in Reliability
3. Evolving Industry Standards

Key Takeaways

1. Reliability metrics – Provide a roadmap to improve software quality and user satisfaction.
2. Continuous monitoring helps identify trends and issues before they escalate.
3. Use a combination of metrics for a comprehensive view.
4. Use modern tools like SigNoz to simplify monitoring and enhance visibility into system performance.
5. Focus on continuous improvement to maintain high reliability.

Seven QC Tools

1. Process Flow Diagram
2. Check sheet
3. Histogram
4. Pareto Diagram
5. Cause and Effect Diagram (Fish Bone)
6. Scatter Diagram
7. Control Chart

Application – 7 QC Tools

1. Pareto
2. Cause and Effect Diagram
3. Control Chart

Conclusion

1. Training Summary
2. Post Test – Knowledge Assessment
3. Training Evaluation – Level 3

“Unlock new opportunities by joining our training. Sign up now and invest in your future!“