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Auto-balancing within Robot Manager

You need to adjust the workload for the work group if the work for your business objectives requires additional robots. You also need to make corrections if work groups have more robots than required based on the service-level agreement (SLA) of open assignments and the work group priority. For example, your work assignments begin to overwhelm your resources in a particular work group. In that case, you might not complete the work before the SLA deadline, causing the project to fall behind schedule.

Using auto-balancing, a feature of Robot Manager, you can move robots automatically among work groups. Robot Manager both understands the needs of your project and monitors the load of the work group to determine where you need a robot. By dynamically moving robots among work groups, you can gain the following general benefits:

  • Maximize robot use efficiency
  • Ensure that robots process work assignments completely within the specified service-level agreement (SLA)
  • Confirms that the number of robots in each work group is sufficient to complete all open assignments

Efficiency and cost advantages to using auto-balancing

Automatic workload balancing provides the following advantages for efficiency and costs:

  • Your workload requires fewer robots to complete work because auto-balancing constantly redirects robots across multiple work groups.
  • Maximizes the time Robot Manager uses robots by using a minimum number of robots required to perform assignments.
  • As Robot administrators, you can focus on other tasks. You do not need to move robots manually between work groups or create schedules.

Setting up auto-balancing

Using auto-balancing to control your workload requires adopting specific tasks for adoption. Before performing these tasks, define the Candidate work group list in the robot registration. Defining the work group list allows auto-balancing to move the robots to a work group containing compatible tasks, instead of one that contains tasks that are not well matched. You can control how Pega Robot Manager distributes the workload among your robots by performing the following actions:

Task description

Why do we need it?

Designate work groups for auto-balancing workload.

Ensures Robot Manager allocates robots to complete essential assignments first.

Manage service-level agreement of robotic assignments.

By defining the SLA, you can measure the performance and service of your roots according to your business objectives.

Adjust the auto-balancing evaluation interval.

Making these adjustments helps you control how Pega Robot Manager anticipates workload among work groups.

Review the Analysis dashboard, which provides graphical insight into robot status, current assignments, and work group capacity.

Analyzing data helps you understand how Pega Robot Manager balances workload among work groups.

 

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