Question

Question: For the type of analysis done in this case, what are the key assumptions? What would be the impact on our analysis of these assumptions were not true?

Short answer

Answer

An organization conducts a queueing analysisto determine the number of customers in line and their average wait time. The following are the key assumptions used in the problem:

Step-by-step solution

Queueing analysis

1. Service rates are exponentially distributed, but arrival rates follow a Poisson distribution.
2. The Service Champ model is based on a single line or single server, i.e. Model I.
3. Food champ operates on a single-line or multi-server (2) model, i.e. Model III.
4. The service and food procedures are separate from one another.
5. The sale is made without increasing the service charge or recruiting more workers.

Queuing models

When usingqueuing models to solve a problem, assumptions are required. As a result, inaccuracies in these assumptions would have an influence on data accuracy.

If the assumptions are not provided, the companies will be unable to estimate the exact queuing time and develop appropriate tactics.

If assumptions are not made, it will be difficult to deal with inconsistencies when serving a customer. In the absence of assumptions, it will be difficult to handle a big consumer base, which may result in longer lines and wait times.