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Auto-balancing robot workload across work groups

Updated on December 20, 2022

Pega Robot Manager uses Auto-balancing to dynamically move robots between work groups to maximize robot efficiency and to ensure robotic work assignments are processed within SLAs.

By continuously monitoring work groups and work queues, Robot Manager determines which work groups require more robots to complete all of their assignments on time, and which work groups have more robots than required based on the service-level agreement (SLA) of open assignments and the work group priority. As a result, Robot Manager automatically moves robots across work groups to ensure that the number of robots in a given work group is enough to efficiently complete all open assignments.

Automatic workload balancing provides the following advantages in terms of efficiency and costs:

  • Automatic re-purposing keeps all available robots busy, and working with minimal idle time.
  • As a robot administrator, you can focus on other tasks because you do not need to: manually monitor the current status of robots, workgroups, and assignments; and you do not need to manually move robots between work groups or, alternatively, create applicable schedules.
  • As the robots are constantly redirected to complete open assignments across multiple work groups, you need fewer robots to complete the incoming work.
What to do next: You can specify how Robot Manager distributes the workload among your robots by performing the following actions:
  • Designating work groups for auto-balancing of robot workload

    Specify whether Pega Robot Manager can move robots between work groups in your application, based on the service-level agreement (SLA) of assignments and robot availability. To ensure that robots are allocated to complete the most critical essential assignments as the highest priority, you can apply automatic workload balancing to a work group, and then specify the priority of the work group.

  • Managing service-level agreement of robotic assignments

    A service-level agreement (SLA) specifies the time by which robots must complete all instances of a given assignment type. By defining an SLA, you can measure the performance and service of your robots, based on your business objectives.

  • Estimating the workload across work groups

    Specify how Pega Robot Manager anticipates workloads across work groups by adjusting the Auto-balancing evaluation interval.

  • Analyzing auto-balancing data

    In Analytics, in Robot Activity, you can review data that provides a graphical insight into robot status, current assignments, and work group capacity. In this way, you can fully understand how Pega Robot Manager balances workload across work groups.

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