In our latest product release, we introduced built-in algorithms for computing Uptime, Idle Time, Working Time and Downtime Metrics.

With these metrics, you can enhance your value-added digital services by offering Digital Performance Advisory and Reporting. Your customers can use these metrics to analyze machine Uptime and take proactive measures to optimize productivity.

Idle Time and Working Time Metrics support an end customer's Operations Manager to assess how effectively machines are being used and consider how to improve productivity by identifying and reducing the causes of high Idle time, such as an inappropriate load between machines.

Uptime and Downtime metrics provide an Operations Manager with a measure of machine availability and help identify and reduce the causes of unplanned downtime events.

Uptime, Idle Time, Working Time and Downtime Metric

The Uptime Metric measures the time a machine is operational and it is composed of Idle Time + Working Time. Idle Time Metric refers to the time a machine is available for use but not productive, while Working Time Metric measures the time a machine is actively performing its intended function, such as production.

The Uptime Metric provides comprehensive and synthetic information on machine uptime, categorized by time frame, location, or individual machine. A high Uptime percentage combined with low Idle Time indicates that the machines are operating at maximum capacity. A high Idle Time indicate that the Working Time could be improved. If Uptime is low, it indicates that something is wrong with the machine with negative impact on his availability.

The Downtime Metric measures the time a machine is out of service or unavailable for various reasons such as maintenance, repair, malfunction or other problems. It is composed of Planned Downtime and Unplanned Downtime. In the Customer Portal, the causes of downtime are shown in more detail, with correlations between actions and events.

How these metrics enrich your Connected Customer Portal

You can use a variety of widgets to deliver this kind of insights in your Connect Customer Portal:

• Value: to display a single value, also aggregated to a period, and have a quick look at the machine's operating time;
• Benchmark: to compare your machine with others of a similar type and check for differences;
• Time Series Chart: to view the trend over a period of time and understand when the machine is not running;
• Bar Chart: to display aggregated data through statistics and compare data.

Pareto Line

In the Bar Chart widget, you can enable the Pareto Line, which overlays a line on the bars to show the cumulative percentage of users, with bars arranged in descending order. According to the 80-20 Rule, the bars before the 80% mark represent the most significant factors for the user. For example, when the Pareto Line is applied to Unplanned Down Events, it clearly indicates where to focus efforts to reduce Downtime.

How to configure in the Console

To configure this feature, you first need to configure the Standard System Status by mapping the machine raw status codes to the standard status codes. For instance “Cutting” for a sawing machine, “Heating”  for a boiler and “Cooking ” for an oven are mapped as Working.

Next, the Insight Metrics are configured by using built-in Uptime, Downtime and Working Time algorithms available in the repository.

You can then configure different templates to display Insights Metric with effective visualization by using dedicated widgets.

In addition, you can define events and alerts on Downtime Metric and possible mitigation actions to improve machine productivity.

All these built-in algorithms are available in the VALUE-ADDED DIGITAL SERVICES and SMART AFTER SALES & ADVANCED SERVICES modules

Are you already supporting your customers to improve machine uptime? Schedule a demo now to see how easy it is to use these Insight Metrics to enrich your Digital Performance Advisory and Reporting

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