DfR Presentations DfR Presentations Design for Reliability in Medical Devices – Presentations by Charlie Slayman, Ops A La Carte • What are soft errors and why are they important for memory applications? • What are the various sources of soft errors? • DRAM and SRAM soft error technology trends • Mitigation Techniques — Process and Materials — Circuit Design — Memory System Architecture • Conclusions Design for Reliability in Medical Devices – RAMS 2010 – Ops A La Carte and Philips Vaishali Hegde, Philips Respironics & Dev Raheja, Patient Safety Systems/Ops A La Carte This presentation covers: • What is DfR? • Need for DfR program in medical industry • 5 successful Paradigms that have high ROI • Paradigm 1 – Comprehensive Requirements • Paradigm 2 – Critical failure is not an option • Paradigm 3 – Reliability in terms of total cost • Paradigm 4 – Design for Durability • Paradigm 5 – Design for Prognostics Design for Reliability Presentations for Hunter’s Oktober Techfest 2009 – Presentations The Solution • assess the customer’s situation • develop goals • write program plan • execute program plan All focused on developing reliable products and improving customer satisfaction DfR Seminar at Wyle Labs – Mike Silverman – Presentations • Introduction • DfR Overiew/Introduction • FMEA • Using FMEA to Design a Better Reliability Test Program • HALT • Lunch Break • ALT • HALT vs. ALT – When to Use Which Technique? • Reliability Femonstration Test (RFT) • HALT vs. RDT – The HALT Calculator • Wrap-up Questions Influencing Project Genetics – Reliability Before Design By Les Warrington & Mike Silverman, Ops A La Carte • Background & evolution of reliability development strategies • Benefits of bringing the influence of reliability forward • Risk, Reliability impact and ROI (R3) Estimator as a key tool in early project influence. Using Design for Reliability (DfR) to Reduce Product Life Cycle Costs Mike Silverman, Managing Partner Ops A La Carte Identify • Goal: quantitavtively define the reliability requirements for a product as well as the end-user environmental/usage conditions. • Customer expectations and how to translate them into engineering metrics (e.g., survive 15 years life). • Identify technology limitations (e.g., battery, optics, specific components, etc.) and the relevant validation strategies.