DECS-310 Lecture Notes - Lecture 35: Poisson Distribution, Queueing Theory, Source Four
Document Summary
Waiting lines occur in all sorts of service systems. Wait time ranges from acceptable to the emergent. Sitting in an airport waiting for a delayed flight. Mathematical approach to the analysis of waiting lines. Waiting lines tend to form even when a system is not fully loaded. Services cannot be completed ahead of time and stored for later use. A possible loss of business when customers leave the line before being served or refuse to wait at all. Resulting congestion may disrupt other business operations and/or customers. The goal of waiting line management is to minimize total costs: Costs associated with customers waiting for service. The number of potential customers greatly exceeds system capacity. The number of potential customers is limited. It is assumed that each channel can handle our customer at a time. The number of steps in a queuing system. Most commonly used models assume that arrival rate can be described by the poisson distribution.
