Martin Shaw – Reliability Solutions

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Presentation transcript:

Martin Shaw – Reliability Solutions www.reliabilitysolutions.co.uk Managing and Improving Reliability across the Entire Life Cycle From prototype into volume manufacture Martin Shaw – Reliability Solutions www.reliabilitysolutions.co.uk Copyright © 2016 reliability solutions all rights reserved

Reliability Solutions – Background Copyright © 2016 reliability solutions all rights reserved

DAY 1 - AM Agenda Understanding Basic Reliability Theory Application of Bathtub Curve theory Importance of Early Life Reliability and the Importance of Exponential and Normal Distributions in Reliability Prediction Definition of Hazard Rate and its importance in Reliability estimation at RD stage Understanding MTTF and effect on Product Level Fail Rates Understanding Accelerated Testing to set up Predictive Testing Models for all products at Design Stage High Temp Arrhenius model and Activation Energies used for key component failure modes Maximising Acceleration Factors by combining Temperature, Thermal Cycling, Power Cycling and Humidity Real Life examples of how to calculate Activation Energy level from experimental work at Product and Component level Evaluating the effectiveness of different stress test types with the Hughes Test Strength Equation to optimise Early Life Test programmes Developing an Effective Reliability test Strategy , using Modern stress techniques, including Random Vibration and Thermal Cycling Product Level Case Study with real life examples using the FREE Reliability Solutions calculation models Life Test Planning Theory behind classical Life Testing set up Using the FREE Reliability Solutions calculation models to combine Acceleration Factors / Sample Sizes / % confidence predictions Copyright © 2016 reliability solutions all rights reserved

DAY 1 - PM Agenda Activity 1 Classroom session where students use the Reliability Solutions calculation models to define an Early Life Reliability Test for their own products and share experience with class Relationship of Manufacturing Yield with Early Life Failure Rate Using yield performance data from PCBA and Product Assembly processes to Predict Warranty Field Fail Rates How to predict and control Early Life Failure Rates using manufacturing data , Case Studies using the FREE Reliability Solutions calculation model Electronic Sub-Assy Reliability Stress Testing Making Reliability more effective at Sub-Assy level How to Accelerate Failures by stress testing at PCBA levels to drive FAST, EFFECTIVE, LOW COST, Reliability Testing that provides FAST RESULTS – Control Board and Power board case studies Copyright © 2016 reliability solutions all rights reserved

DAY 2 - AM Agenda LCD Panel Accelerated Stress Testing using a more effective sequential stress test approach with failure rate prediction modelling – Real Life Case Study Weibull Analysis of Failure data and how to apply to any product failure data and understand how standard software packages actually work Setting up strong Design Quality Test Programme and using Design Maturity Measurement to measure Design Capability Understanding how this will benefit your organisation Making use of the FREE Reliability Solutions calculation model to measure and monitor your own Design Maturity during the critical development cycle Predicting Field fail Rates using development test Information from a Design Quality Engineering Test programme Combining Electronic simulation predictions with Accelerated Test data and Design Maturity Measurements to make efficient Reliability Predictions BEFORE Mass Production Copyright © 2016 reliability solutions all rights reserved

DAY 2 - PM Agenda Setting up ‘Holistic’ approach to New Product Introduction scoring and the scoring model used to manage NPI more effectively and Objectively to drive World Class Reliability Multiple Case Studies of Electronic and Electro Mechanical products SMART Meter, Automotive Sensor products, LCD TV, Power Supply, etc Case Studies Using the FREE Reliability Solutions calculation model to measure the % NPI Score Q & A Session Copyright © 2016 reliability solutions all rights reserved