Reliability Engineering Training
Reliability Engineering Training Course Hands-on
Reliability 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. 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.
With onsite Training, courses can be scheduled on a date that is convenient for you, and because they can be scheduled at your location, you don’t incur travel costs and students won’t be away from home. Onsite classes can also be tailored to meet your needs. You might shorten a 5-day class into a 3-day class, or combine portions of several related courses into a single course, or have the instructor vary the emphasis of topics depending on your staff’s and site’s requirements.
Duration: 3-4 days
◾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
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?
◾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
◾Software and System Reliability Prediction
◾Component Reliability Prediction
Software and System Reliability
◾Reliability Growth Monitoring
◾Computer demonstration of Crow
◾Major Influence Factors on Device Reliability
◾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
◾Computer demonstration of Monte Carlo models
◾Management Systems for Reliability
◾Mechanical Components and Systems Reliability
◾Electronic System Reliability
◾Demonstration Project Preliminary Commitment
◾Failure Modes Effects and Criticality Analysis (FMECA)
◾Reliability Block Diagram (RBD)
◾MIL-HDBK-217 Reliability Concepts
◾ASIC Reliability Concepts
Applying Telcordia TR-332
◾MIL-HDBK-217 Reliability Concepts
◾Part Types and Descriptions
◾IC Part Types
Practical Scenarios and Method Data
◾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
◾Filed Operational Time
◾Field Temperature Time
◾No Of Failures in the Filed
◾Tracked Failure Rate (fpmh)
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