The QUEUEL.lng Model

Minimal Cost Queuing

View the model
Download the model

The objective of this model is to choose the number of servers in a queuing system that minimizes total cost. If all servers are busy when a customer arrives, then the customer is lost. Total cost is composed of the cost of hiring our servers plus the expected cost of lost customers. The @PEL function is used to get the fraction of customers lost due to all servers being busy when they arrive.

Keywords:

Assembly Line Balancing | Job Shop | Probabilities | Uncertainty | Communications | Queuing |