Challenge III: ROI is difficult to quantify

 For the last time, consider our industrial manufacturer's automated seal delivery cycle. The robot performing this task has no problem transporting the joints from point A to point B. However, it takes a human to unload the joints and connect a new cart to the robot so that it can return to point A. for another harvest.

 As Peter Drucker has proclaimed, "what gets measured gets managed". With that in minds, it makes sense that simple statistics, such as the average downtime between gasket deliveries, are rarely measured. And, where measurement processes exist, they are vendor-specific, making it impossible to answer management questions like "what's the average downtime of all these manufacturing robots that we buy?" Or "Are the Brand X robots performing as promised?" "

The solution: smart data and smart metering

 Suppose our industrial manufacturer decide to implement intuitive and transparent dashboards capable of generating standardized reports that identify the most ripe ripe fruits and provide critical information on specific manufacturing process that can be enhanced. It's time to turn big information into smart data.

 The Freedom Robotics fleet management platform gives operators the ability to explore the performance history of each robot. This data can be collected in standardized reports that help identify patterns of poor performance.

 The following report displays an alert from the robot performing the map delivery loop: the brighter the square, the more alerts occur at the location. When models like this emerge, it's easier to draw meaningful conclusions and implement solutions. pasted-image-0- (5)

 Often, robots in manufacturing environments are briefly inactive because another robot is interfering. Sometimes this can cause the production line to slow down. Let's take a look at the alerts that only appear where the robot hasn't moved for over a minute. We will also filter out alerts that have occurred strictly because the safety LIDAR has been activated on the robot.

 With this new information, the area with relatively few alerts now becomes more interesting. Ah ha! An operator can now deduce that the display of panels clarifying the trajectory of the robot can reduce interference and reduce the occurrence of the alert.

It is important to closely monitor your bots and make sure that they are delivering the results for which they were integrated. As demonstrated, the challenges you will meeting in achieving this goal are far from insoluble. All it receipts is some pragmatic thinking, realizing that robots are no different from any other project or capital expenditure, and the right set of  tools to implement, manage and optimize your deployments. robotic.

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