A recognized leader in reliability, maintainability, testability and safety engineering

Corporate leaders recognize that product Reliability, Maintainability and Safety are engineering activities of ever-increasing importance. Customer demand, competition and risk of recalls and liability mean that these activities require top priority in product development and production. Company investment in these activities also provides other positive results:

  • Improved Corporate Reputation
  • Improved Product Reputation
  • Stronger Customer Loyalty
  • Increased Market Share
  • Increased Profit

We are proud of the many awards and achievements we received in reliability, maintainability and testability engineering. Many companies rely on our engineering to improve the quality of their hardware, software and system designs.

Reliability activities to improve product quality

  • Reliability Models and Predictions
  • Part Stress, Derating and Application Analysis
  • Worst Case Analysis
  • Probabilistic Risk Assessment
  • Built-In-Test Analysis
  • Root Cause Analysis

Button Text

Maintenance analyses and support

  • Maintainability Prediction
  • Testability Analysis
  • Maintenance Analysis
  • MSG-3 Analysis/Reliability Centered Maintenance
  • Integrated Logistics Support (ILS)
  • Test Requirements Document (TRD) Preparation
  • Test Plans and Procedures

Button Text

Testability analyses and integral part of design and development

  • BIT Strategy and Design
  • Fault Detection Analysis
  • Fault Isolation Analysis
  • Robustness Assessment
  • Design for Testability
  • Testability Analysis
  • Prognostics and Health Monitoring
  • False Alarm Rate Prediction

Button Text

Free Whitepaper Download
Improving software and system reliability & maintainability with better error processing

What’s Inside: Software developers typically incorporate error-detection code to find and report faults at all levels. A system's reliability and maintainability can be significantly improved through wider use of error detection, better detection methods, and more informative reporting, but the benefits come at a price. This paper explores practical techniques in real-world applications that can greatly improve error detection and reporting while often reducing development time. Countless things can go wrong with large software-based systems during development and after delivery.