202hwk4sol - IOE 202, Fall 2008 1 IOE 202: Operations...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: IOE 202, Fall 2008 1 IOE 202: Operations Modelindg Homework 4 Solutions 1. We will denote all the inputs and output quantities having to do with the second model by primes. For example, the arrival rate in the second model is = 2 and the service rate is = 2 server utilization has not changed, so the system is still stable. (a) = = 2 2 = , so the new system is stable as long as the old one was. (b) L Sys = - = 2 2 - 2 = - = L Sys stays the same. (c) From Littles law, W Sys = L Sys = L Sys 2 = 1 2 W Sys decreases by a factor of 2. This is not surprising from the above, we conclude that customers arriving to the second system see, on average, a queue of the same length as in the first system. Once a customer has joined the queue, the time he spends there is dictated by how fast the customers in front of him, and the customer himself, get served which happens twice as fast in the second system. (d) W Q = ( - ) = 2 2 (2 - 2 ) = 1 2 W Q same logic as above. (e) L Q = W Q = 2 1 2 W Q = L Q stays the same. Whats the moral of the story here? When you compare two lines which have the same length, it is not necessarily the case that expected waiting time is the same!...
View Full Document

This note was uploaded on 01/18/2009 for the course IOE 202 taught by Professor Marinaepelman during the Winter '09 term at University of Michigan.

Page1 / 2

202hwk4sol - IOE 202, Fall 2008 1 IOE 202: Operations...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online