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What is Windchill Risk and Reliability?
Windchill Risk and Reliability is a completely integrated set of software tools for analyzing product performance, reliability, and safety. Recognized for its user-friendly, state-of-the-art features, it offers all of the tools described in the following table in a unique, fully integrated framework. In addition to supplying an intuitive interface for data entry, it provides easy-to-use wizards for importing, exporting, filtering, graphing, and reporting on your data. Providing unparalleled customer satisfaction, Windchill Risk and Reliability is an industry standard for QLM analyses.
Tool
Description
Reliability Evaluation
The tools in this category are used to determine system reliability metrics.
Models a wide array of complex, state dependent systems. This broad analysis tool calculates reliability results for varied systems, especially those with sequence dependencies.
Predicts the likely failure rates of components and/or systems. Predictions are based on statistically developed models that compute failure rates based on component and environmental parameters.
Assesses reliability metrics of complex systems that employ redundancy and other methods to increase reliability. This module is a complete tool for the evaluation of block diagrams and phase diagrams, offering sophisticated optimization and simulation techniques to model system reliability. It can take maintenance, repair resource, capacity, downtime, and spares information into account and optimize maintenance intervals and the number of repair resources and onsite and offsite spares.
Risk Assessment
The tools in this category are used to identify potential risk areas and assess techniques for minimizing risk factors. These tools are utilized extensively for safety-related systems.
Identifies all possible causes of a system failure and/or all possible events that can occur in the system to determine the probability of a particular event’s occurrence based on the events leading up to it.
Establishes the effects of various failure modes on a system and gauges how critical the effects of these failures are on the system.
Establishes the effects of various failure modes on a system and gauges how critical the effects of these failures are on the system.
Specific Use Tools
The tools in this category are each used for a particular type of reliability assessment.
Uses life stress models to extrapolate the test data from a small sample of overstressed products to predict the reliability of the product at normal stress levels.
Records and analyzes significant incident information so that effective correction actions are quickly identified, implemented, and verified.
Evaluates the total lifetime cost of the system, factoring in metrics such as failure rates and repair costs.
Estimates the MTTR (mean time to repair) for various components to aid in the development of maintenance plans for the system.
Forecasts failures based on samples of actual field data. This general statistical tool assesses failure rate distributions, optimization techniques, and predictive analyses.
A summary of all development efforts appears in Historical Overview. For more information about techniques, see Reliability Analysis Techniques.