Description
Reliability and Maintainability Engineering is the function of analyzing the expected or actual reliability of a product, process or service, and identifying actions to reduce failures or mitigate their effect. Engineers analyzing reliability typically carry out reliability predictions, FMEA or FMECA, design testing programs, monitor and analyze field failures, and suggest design or manufacturing changes.
Once perceived as a practitioner or manufacturing issue, reliability and maintainability engineering is now considered a business issue of urgent priority. Reliability engineering can be done by reliability engineers, design engineers, quality engineers, or system engineers. The overall goal of reliability engineering is to make your product more reliable in order to reduce repairs, lower costs, and to maintain your company's reputation. To best meet this goal, reliability engineering should be done at all levels of design and production, with all engineers involved.
Reliability and Maintainability Engineering training provides the concepts of reliability engineering, practical issues and methodology in reliability prediction, design and optimization. This multidisciplinary training program focuses on the use of management systems, analysis techniques and advanced condition-based and preventive technologies to identify, manage and eliminate failures leading to losses in system function.
Objectives
This course provides you with a comprehensive reliability fundamentals covering today and tomorrow's technologies and concepts:
- New tools in reliability engineering principles
- How operations can improve reliability of their processes
- How to influence improvements in availability
- How someone can assist in reducing process failures
- How someone can calculate the cost of unreliability for making business decisions to attack problems of unreliability.
- Find out reliability tools helpful for providing supporting evidence during root cause analysis failure investigations
- Find reliability tools and techniques helpful for understanding failure data
- How to make business decisions, based on the failure data
- Justify making equipment more reliable
Course Outline
Reliability Engineering Overview
- Business aspects of reliability engineering principles
- Improvements in processes, procedures, people
- Ways to reduce the cost of unreliability
- How to predict future failures as a selling point for improvement projects
- New modeling techniques for predicting equipment reliability based
- Life cycle cost decisions in justifying new equipment and new processes
- What is reliability engineering?
- Reliability Data Problems and Deficiencies
- Why do I need to do reliability prediction?
- What are the uses of reliability prediction?
- Computer demonstration of probability plots
- Demonstration Project Introduced
- What are Reliability Predictions and MTBF?
- What are MIL-HDBK-217 and Bellcore/Telcordia?
- What is a Reliability Block Diagram or RBD?
- What is a design FMEA?
- What is a process FMEA?
- What is a FMECA?
- What is Maintainability analysis?
- What is Life Cycle Cost analysis?
- What is a Reliability Prediction?
Reliability Prediction
- Predictions from Test or Field Data Analysis
- Prediction Using the New System Reliability Assessment Method
- Similar Item Prediction
- Predicted to Operational Translation
- Empirical Model Prediction Techniques
- Physics-of-Failure Prediction
- Software and System Reliability Prediction
- Component Reliability Prediction
Software and System Reliability
- Reliability Testing
- Reliability Growth Monitoring
- Computer demonstration of Crow
- Reliability Management
- Major Influence Factors on Device Reliability
- Physics-of-Failure Prediction
- Software Reliability Prediction
- New System Reliability Assessment Modeling Approach
- Reliability Prediction Methodologies
- Predictions From Test or Field Data Analysis
- Use of Existing Reliability Data
- Demonstration Project Commitment
Reliability Models
- Computer demonstration of Monte Carlo models
- Management Systems for Reliability
- Mechanical Components and Systems Reliability
- Electronic System Reliability
- Demonstration Project Preliminary Commitment
- MIL-HDBK-217 (Electronics)
- Telcordia/Bellcore/TR-332 (Electronics)
- NSWC-94/L07 (Mechanical)
- Failure Modes Effects and Criticality Analysis (FMECA)
- Reliability Block Diagram (RBD)
- Toolkits
Applying MIL-HDBK-217
- MIL-HDBK-217 Reliability Concepts
- ASIC Reliability Concepts
- Infant Mortality
- End-of-Life Effects
- Defect-Driven Reliability
- Reliability Modeling
- MIL-217 blocks
- Environment
- Temperature
- Voltage Stress
- Current Stress
- Power Stress
- Connection Type
- Quality Levels
- Repair Mode
- MTTR
Applying Telcordia TR-332
- MIL-HDBK-217 Reliability Concepts
- Blocks
- Environnent
- Ambient temperature
- Repair Mode
- MTTR
- Part Types and Descriptions
- SubCircuit
- SubHybrid
- IC Part Types
- Transistor
- Diode
- Optoelectronic
- Resistor
- Potentiometer
- Capacitor
- Inductive
- RotatingDevice
- Relay
- Switch
- Connector
- Meter
- QuartzCrystal
- CrystalOscillator
- Lamp
- Fuse
- MicrowaveDevice
- DelayLines
- Battery
- Miscellaneous
Practical Scenarios and Method Data
- Operational Burn-In
- Burn-In Time
- Burn-In Temp
- Lab Text Data
- Lab Test Time
- Lab Test Temp
- No of Failures in Lab Test
- No of Lab Test
- Lab Test Burn-In Time
- Lab Test Burn-In Temp
- Field Data
- Filed Operational Time
- Field Temperature Time
- No Of Failures in the Filed
- Tracked Failure Rate (fpmh)
Who Should Attend
Audience includesengineers with different specializations such as reliability engineering, mechanical engineering, electrical engineering and applied statistics. Attendees will learn the foundation of reliability engineering through hands-on activities and directed classroom discussionProduction supervisors
Prerequisites
This is an introductory course with no prerequisites.