DSCI 304 Study Guide - Final Guide: Exponential Distribution, Poisson Distribution

• School: College of Charleston
• Department: Decision Sciences
• Course: DSCI 304
• Professor: Hartley

Document Summary

Waiting lines occur in all sorts of service systems. Wait time range from the acceptable to the emergent. Sitting in an airport waiting for a delayed flight. Waiting lines tend to form even when a system is not fully loaded. Variability: arrival and service rates are variable. Services cannot be completed ahead of time and stored for later use. The number of potential customers greatly exceeds system capacity. The number of potential customers is limited. A channel is a server in a service system. It is assumed that each channel can handle one customer at a time. Phases: the number of steps in a queuing system. The most commonly used models assume that the arrival rate can be described by the poisson distribution. Poisson distribution measures the arrivals per unit of time. Equivalently, interarrival times are assumed to follow the negative exponential distribution called the time between arrivals.