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Relex Capabilities Brochure
The Relex Capabilities Brochure is a valuable source of information about Relex Software Corporation and our products and services.
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FMEA/FMECA Product Sheet
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File Size: 660k
Case Studies:
Relex Modules Reduce Bid Preparation Costs by 30%
Hydromat uses Relex to Improve New Product Reliability
Related Articles:
Using FMEAs (Failure Modes and Effects Analyses) to Assess Risk
FMEAs Promote Improved Product Reliability
A FMEA Primer

FRACAS Corrective Action Product Sheet
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File Size: 644k
Case Studies:
Supplier Warranty Reduction and Recovery with FRACAS
Automating 8D Team Problem Solving with Relex FRACAS
Automating Reliability Prediction Based on Field Failures
Automating Supplier Quality Management with Relex FRACAS
Competing in the High-Availability Marketplace with Relex FRACAS
FRACAS for ISO 9001 Quality Systems Standard Compliance
Spotting Trends in Warranty Data with Relex FRACAS
Test and Field Failure Management with Relex FRACAS
Related Articles:
Powerful Analytical Solutions that Support Collaboration
Dashboards: Information at Your Fingertips
Sharing Data Across the Enterprise
Making the Most of Your FRACAS Investment
Using Reliability Growth Models to Detect Warranty Problems - Part I
Using Reliability Growth Models to Detect Warranty Problems - Part II
Best Practices for a Corrective Action Closed-Loop Process
Data Management Techniques
Enterprise Class Systems
Calculating Field MTBF Values
Best Practices for a FRACAS Implementation
Why FRACAS Means Superior Quality and Reliability
FRACAS: Providing Continual Improvement in Quality and Reliability
Boost the Value of Legacy Data When Designing a New System

Fault Tree Product Sheet
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File Size: 656k
Related Articles:
Fault Tree Construction: Events and Gates - Part I: Commonly Used Events and Static Gates
Fault Tree Construction: Events and Gates - Part II: NOT Logic Gates
Fault Tree Construction: Events and Gates - Part III: Dynamic Gates
Modeling with Lambda Tau Fault Trees
Using Importance Measures in Fault Tree Analysis
Selecting the Right Tool to Model System Behavior
Using Fault Trees to Identify Potential Faults in Critical Systems
Understanding Importance Measures in Fault Tree Analysis
Fault Tree Gates Logically Link Basic Events to Top Events

Human Factors Risk Analysis Product Sheet
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Considering Human Error in Process Analysis

Implementation Services Product Sheet
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Life Cycle Cost Product Sheet
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Markov Product Sheet
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Related Articles:
Selecting the Right Tool to Model System Behavior
Markov Analysis, Part 1
Markov Analysis, Part 2

Maintainability Prediction Product Sheet
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Optimization and Simulation Product Sheet
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File Size: 704k
Related Articles:
Spares Optimization for Complex Repairable Systems
Analytical Methods Versus Simulation
Modeling Today's Complex Repairable Systems

Reliability Block Diagram Product Sheet
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Case Studies:
Reliability Analysis Points to $500,000 Savings on Subsea Hydraulic Power Unit
Scientific Atlanta Uses Reliability Analysis to Help Cable Operators Deliver Four Nines
Related Articles:
Selecting the Right Tool to Model System Behavior
Analytical Methods Versus Simulation
Multiple Availability Calculations in Relex RBD
Modeling Complex, Multi-Phase Systems

Reliability Consulting Services Product Sheet
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Reliability Prediction Product Sheet
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Case Studies:
T&L Communicators Relies on Relex for Speed, Accuracy, and Global Acceptance
Increasing Business Success in Today's Service Provider Market
Husky Injection Molding Systems Standardizes on Relex
Bustronic Includes Relex in New Technology Investments
Honeywell Cuts MTBF Calculation Time by 90%
Telecommunications Company Increases Productivity Savings
Related Articles:
MTTF Versus MTBF
Efficient Data Entry for MTBF Analysis
Thermal Management and Reliability: Heat Sinks
Reliability Prediction Models: Use and Evaluation - Part I: Reliability Factors
Reliability Prediction Models: Use and Evaluation - Part II: Reliability Prediction Standards
Reliability Prediction Models: Use and Evaluation - Part III: Which Model To Choose
Augmenting Predictive Analyses with Real Life Data
Predicting the Reliability of Mechanical Components
Using Manufacturer Data in Reliability Predictions
Mixing Reliability Prediction Models Maximizes Accuracy
Calculating Junction Temperature Variations
Taking Dormant States into Account in Reliability Predictions
Using Allocations to Set Reliability Goals
Using Telcordia Calculation Methods to Adjust Failure Rates
PRISM Process Grades Provide for Fine-Tuning Reliability Predictions
PRISM Bayesian Analysis Provides for Better Predictions

Weibull Product Sheet
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File Size: 544k
Related Articles:
Reliability Growth Analysis for Continual Product Improvement
Reliability Growth
Analyze Failure Data Accurately with Weibull Analysis
Using the Weibull Distribution to Analyze Legacy Equipment
Selecting Distributions that Best Fit Failure and Repair Times
Using Weibull to Minimize Downtime or Overall System Cost

 

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