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.