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Chapter 1: Introduction to Reliability Tools
1.2 Sending Analyses
1.1 Quick Tour

Chapter 1: Introduction to Reliability Tools

Our mission is to develop state-of-the-art reliability mathematical and statistical models at a fair price that allow everyone to have access to reliability tools.

The R4All team is continuously developing new analysis modules so that professionals can implement reliability engineering in projects, products, systems, and equipment.

1.1 Quick Tour

Upon entering the user’s profile, the profile’s Reliability Platform Dashboard will open to review all the user’s Reliability Analysis so that the user can access his analysis and add a new one at any time.

See below the required information for creating a new analysis using the R4All platform:

  1. Collected life data (or degradation data for Degradation Analysis module) of an item or item´s group to be analyzed.

  2. Group items that show the same behavior, such as time to failure or if they are in suspension.

  3. Choose an analysis type for treating the data.

The mathematical model output generates a group of metrics that measure the item’s performance over time. This model can be determined by the chosen different life distribution.

The front page of the R4All web toolbox will ask the user his login account and his password, but if he does not have any account to be logged in, he can also register a new user account in the link https://www.reliability4all.com, which will redirect him to the homepage.

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After registration on the website, users can access the R4All features for a 30-day trial, and for further use, he can acquire a pre-paid plan. More information will be given via email upon registering an email account and other emails will be sent a couple days before the trial period expires.

During this trial, no features are forbidden for the user, so it will be possible to create and edit a new analysis, add new items, change its settings, and customize the user’s profile, as he pleases. However, trial accounts are limited to 20 items per analysis.

Once the trial expires, no editing can be done, and all data stored on the account will be available in a Viewer Mode.

In the Viewer Mode, the user will be able to access all the analyzes already created, but he will not be able to add / change any new data to an existing analysis / item, nor will he be able to add a new analysis or a new item in any of the modules. In the Viewer Mode, all the user analysis will be available for an additional period of 6 months, even if he has not opted to purchase any of the available pre-paid plans.

For more information about the R4All platform, see the Terms of Use & Privacy Policy that will be displayed for a new user when he is registering at the R4All platform. Once the user registers at the platform, he will also be able to read the R4All Terms of Use & Privacy Policy at any time click the link at the bottom of the page.

Upon logging in the R4All platform, the work area opens the Reliability Platform Dashboard on the homepage, and it will be a useful guide to keep track of all the analyses already created by the user. Each type of analysis has its own menu: Life Data Analysis, Reliability Growth Analysis, Degradation Analysis, Reliability Test Design, Warranty Analysis Non-Repairable Items, Warranty Analysis Repairable Items, Left Truncated Data, and Life Stress Models.

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At the bottom of the Dashboard, there are “donut” charts to present of all the analyses and items done in each module, as presented in the image bellow:

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The R4All standard and advanced reliability suite plan can be acquired for a period of six or twelve months, and it can always be renewed upon expiration (or before).

1.2 Sending Analyses

All users can share their analysis with a selected individual or group within the R4All or with users outside the platform. For users who are not registered on the platform, an email will be sent inviting them to register.

Inside any analysis module (except for the DRT module), there is a button to send the whole current analysis or a selection of items from this analysis to another user so that coworkers can have a quick access to each other’s items, data, results, plots, etc.

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The analyzes sent by other users will be highlighted as a blue link on their Analysis List, as displayed in the image below:

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