Robot Fleet Task Capacity Estimator

1. Enter fleet size
Use the number of robots expected to be available during the period.

2. Set operating time
Enter scheduled operating hours for each robot over the same period.

3. Add cycle time
Enter the average minutes required to complete one task, including normal travel or handling time.

4. Apply utilization
Use productive utilization to account for charging, waiting, congestion, maintenance, and other non-task time.

5. Review capacity
The main result estimates completed tasks for the period; the breakdown shows productive hours and per-robot throughput.

Theoretical task capacity = Robots × Operating hours × 60 ÷ Minutes per task Estimated task capacity = Theoretical task capacity × Utilization ÷ 100

Where:

• Robots — number of active robots
• Operating hours — scheduled hours per robot in the chosen period
• Minutes per task — average complete task cycle time
• Utilization — share of scheduled time spent productively completing tasks

Assumptions: Every robot is modeled with the same average cycle time and utilization. The estimate does not model queueing, traffic interactions, task mix, charging schedules, or downtime separately.

What the result means

Under these average assumptions, the fleet can complete about 1,152 tasks during the selected operating period.

Capacity is an average throughput estimate, not a queueing or dispatch simulation.

Given:

• 12 robots
• 16 operating hours per robot
• 8 minutes per task
• 80% productive utilization

Calculation:
Theoretical capacity = 12 × 16 × 60 ÷ 8 = 1,440 tasks
Estimated capacity = 1,440 × 0.80 = 1,152 tasks

Result:
1,152 tasks

Interpretation:
Under these average assumptions, the fleet can complete about 1,152 tasks during the selected operating period.