COMMERCE 3QA3 Lecture Notes - Lecture 1: Heat Capacity Ratio, Exponential Distribution, Md1 (Military R&D Organisation)

• School: McMaster University
• Department: Commerce
• Course: COMMERCE 3QA3
• Professor: John Miltenburg

Document Summary

Queuing models of waiting line systems": introduction. Waiting line systems can be analyzed using simulation (ch. The cause of waiting lines is variation from the random arrivals of customers and variation in the time to serve customers. Each of these sources of variation is described with a probability distribution. 9 we use the poisson distribution for customer arrivals, and we use the exponential distribution (and also a deterministic distribution" and a general distribution") for the time to serve customers. The probability that x = 0,1,2,3,4,5, (2)11! 2 =21 2. 7183 2 = 0. 2707 (2)33! 2 = 83 2 1 2. 7183 2 = 0. 1804, . Lectures 35-38 ch 9 (queuing models of waiting lines) page 1. Is the average arrival rate (i. e. is the average number of customers arriving in one time period), e = 2. 7183 (exponential constant) An average of 2 customers arrive each hour. Example customers arrive in a given time period is: () =