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5️⃣ Powerful RPA Metrics to Evaluate Robot Deployment Performance🦾

21 Nov 2022
5️⃣ Powerful RPA Metrics to Evaluate Robot Deployment Performance🦾
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1️⃣ Speed
Robot process automation or RPA fully depends on the speed of performance. Today, more and more businesses deploy robot arms in the manufacturing environment, as traditional manual work cannot increase productivity. The worker speed in multiple application sets depends on a human factor, as most manufacturing processes are monotonous and repetitive. Tiresome work does not help increase worker productivity and even might cause injuries.
2️⃣ Accuracy
Accuracy represents the production quality and reduces the number of break-fixes. The number of times the cobot is necessary to be maintained presents the quality of the RPA. The product material and weight influence the accuracy of the process. The reason might lie in choosing the robot arm with the inappropriate payload.
3️⃣ Workforce Safety
Businesses, deploying process automation and collaborative robots, are concerned about workforce safety. Workforce safety is another key indicator, showing the level of efficient performance of RPA.
4️⃣ Software
Deployment of specific software enables a high level of efficiency. Installed software with basic programming skills indicates a simple operational background. At the same time, the simplicity of software usage highlights the time-saving processes in a multiplication manufacturing environment.
5️⃣ Hardware
The hardware breaks and fixes indicator can state the reliability of a robot arm purchased to operate a specific industrial task.
Hence, businesses should consider the RPA metrics to measure the robot performance and evaluate how effective and successful they deployed a collaborative robot in their manufacturing environment.
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