What if Analysis Example
Based on the calendar analysis example, we will reduce the number of resources for all shifts and see if the processing times are affected.
To do this, we will create an additional scenario by duplicating the original one:
In Scenario 1 the resources availability is:
| Resource | Morning shift (6:00 am - 2:00 pm) | Day shift (2:00 pm - 10:00 pm) | Night shift (10:00 pm - 6:00 am) |
|---|---|---|---|
| Call center agent | 2 | 2 | 1 |
| Nurse | 3 | 3 | 3 |
| Fully equipped ambulance | 4 | 4 | 4 |
| Basic ambulance | 2 | 1 | 2 |
| Quick attention vehicle | 1 | 2 | 1 |
| Receptionist | 2 | 1 | 1 |
In Scenario 2 the resources availability will be altered as follows: We reduced Nurse, Fully equipped ambulance, and Receptionist. We increased Basic ambulance and Quick attention vehicle.
| Resource | Morning shift (6:00 am - 2:00 pm) | Day shift (2:00 pm - 10:00 pm) | Night shift (10:00 pm - 6:00 am) |
|---|---|---|---|
| Call center agent | 2 | 2 | 1 |
| Nurse | 2 | 2 | 2 |
| Fully equipped ambulance | 2 | 2 | 2 |
| Basic ambulance | 2 | 2 | 2 |
| Quick attention vehicle | 2 | 2 | 2 |
| Receptionist | 1 | 1 | 1 |
We run the what-if analysis including both scenarios.
Mark the scenarios and click Start.
As soon as the analysis is complete, the Results will display.
Color is used to emphasize differences between scenarios. Values that differ are highlighted in red.
The resources results show that the usage of resources increased, especially for the Nurse, now at full capacity. This gives us an idea that there will be delays and patients will be held waiting. The positive result is that costs are reduced.
Analyzing the outcomes we note that:
- The completed tokens have been reduced. This means we are tending to fewer patients with this new resources distribution.
Waiting time has increased in several activities:
In the whole, this new scenario is not beneficial. The hospital cannot afford such high waiting times since it offers a healthcare service.
We recommend reverting the resources availability for Nurse and Ambulance to their original values, and changing the availability of other activities. Run the simulation again and examine the results.