|
Analysis RBD Analysis
Reliateck Engineer uses Relex Reliability Block Diagram (RBD) software techniques to analyze the reliability metrics of complex redundant systems and product, computer networks and large scale systems. By providing support for redundant configurations and other real-world scenarios, RBDs enable you to accurately evaluate your true system metrics. RBD is a complete, fully-featured graphical reliability block diagram software evaluator. After constructing your system model onscreen, RBD’s sophisticated calculation engine does the rest—providing fast, accurate reliability and maintainability results. Reliateck Engineer uses Relex RBD software to perform a wide range of calculations: availability, reliability, unavailability, MTBF, failure rate, expected number of failures, mean unavailability, total downtime, failure frequency, and hazard rate. RBD is a powerful tool for reliability and availability modeling that continues to be the choice of reliability engineering professionals. Weibull Analysis Weibull techniques enable you to examine any type of failure data you have collected. You can use Weibull tools to effectively analyze all types of system life data, including mechanical, chemical, electronic, material, and even human failure data. You can then use your real-world field data to predict trends and analyze your system reliability. Weibull software provides full Weibull analysis capabilities in a powerful statistical tool wrapped in a friendly and flexible user interface. Weibull software has a broad range of applications and can be applied to any industry or process with ease. It moves the complexity of the statistical methodology into a powerful behind-the-scenes engine, allowing you to more accurately and efficiently analyze your life data.
RMA Analysis RMAs database policy development and establishment allows you to control the return of parts previously sold and shipped to your customers. When you are required to repair or replace material at a customer site, costing information becomes difficult to maintain. RMA database functionality makes it easy to track costs related to returns and repairs, even when the original customer order record may not exist in the system, or the parts being repaired originate from a source other than your company. Return Material Authorizations documents include IDs, status information and other identification about who is returning the material and why. Tracking information through the use of RMAs database will help you improve both customer service and overall part quality
Data Analysis Data analysis is the process of looking at and summarizing data with the intent to extract useful information and develop conclusions. Data analysis is closely related to Data mining, but data mining tends to focus on larger data sets, with less emphasis on making inference, and often uses data that was originally collected for a different purpose. Predictive analytics encompasses a variety of techniques from statistics and data mining that analyze current and historical data to make predictions about future events. Such predictions rarely take the form of absolute statements, and are more likely to be expressed as values that correspond to the odds of a particular event or behavior taking place in the future. Reliateck Engineers will help your company summarize data to make it easy for management to understand and help make decision where to allocate resources and effort to improve process, product and customer satisfaction. Reliateck Engineers will help your company develop metric that can be track on regular and periodic basis. Below is a summary of the type of data analysis Reliateck Engineers will be able to help your company with - Field Data Analysis
- Factory Data Analysis
- Engineering Data Analysis
- Pareto Chart Data Analysis
- Factory Yield Data Analysis
- Life Data Analysis (Weibull Analysis)
- Accelerated Life Testing Data Analysis (ALTA)
- Statistical Process Control (SPC) Charts Development
- Operating Life Testing Data Analysis
- Maximum Likelihood Estimator (MLE) Data Analysis
|
Webmail