1. What is Average Occupancy?

Average Occupancy refers to the average utilization or usage of resources, such as trunks or circuits, within the system over a given period of time.

2. How Does the Calculator Work?

The calculator uses the Average Occupancy formula:

Where:

• \( A_{avg} \) — Average Occupancy
• \( n \) — Average Number of Calls (Total Number of Calls)
• \( AHT \) — Average Holding Time (seconds)
• \( T \) — Time Period (seconds)

Explanation: This formula calculates the average utilization of resources by multiplying the average number of calls by their average holding time, then dividing by the total time period.

3. Importance of Average Occupancy Calculation

Details: Average Occupancy is crucial for telecommunications system design, capacity planning, and resource optimization. It helps determine the appropriate number of circuits or trunks needed to handle call traffic efficiently.

4. Using the Calculator

Tips: Enter the average number of calls, average holding time in seconds, and time period in seconds. All values must be positive numbers greater than zero.

5. Frequently Asked Questions (FAQ)

Q1: What is a good Average Occupancy value?
A: In telecommunications, occupancy values between 0.7-0.9 (70-90%) are typically considered optimal for balancing efficiency and service quality.

Q2: How does Average Occupancy relate to Erlang calculations?
A: Average Occupancy is closely related to Erlang calculations and is used in traffic engineering to determine the required capacity for telephone systems.

Q3: Can this formula be used for other applications beyond telecommunications?
A: Yes, the concept of average occupancy can be applied to any system where resources are shared and utilized over time, such as server utilization or facility occupancy.

Q4: What time units should I use?
A: The time units must be consistent. Typically seconds are used, but any time unit can be used as long as all three inputs (AHT, T) use the same unit.

Q5: How does Average Occupancy affect call quality?
A: Higher occupancy levels may lead to increased call blocking or delays, while lower occupancy may indicate underutilized resources. Finding the right balance is key to optimal system performance.