Queuing Systems 63.210 Don Sutton.

Slides:



Advertisements
Similar presentations
Components of the Queuing System
Advertisements

Waiting Line Management
Structure of a Waiting Line System
IE 429, Parisay, January 2003 Review of Probability and Statistics: Experiment outcome: constant, random variable Random variable: discrete, continuous.
LESSONs NINE and TEN QUEUING MODELS.
Review of Probability Distributions
D Waiting-Line Models PowerPoint presentation to accompany
Nur Aini Masruroh Queuing Theory. Outlines IntroductionBirth-death processSingle server modelMulti server model.
Chap. 20, page 1051 Queuing Theory Arrival process Service process Queue Discipline Method to join queue IE 417, Chap 20, Jan 99.
Model Antrian By : Render, ect. Outline  Characteristics of a Waiting-Line System.  Arrival characteristics.  Waiting-Line characteristics.  Service.
Waiting Lines and Queuing Theory Models
Queuing Systems Chapter 17.
1 Analysis Of Queues For this session, the learning objectives are:  Learn the fundamental structure of a queueing system.  Learn what needs to be specified.
To accompany Quantitative Analysis for Management, 8e by Render/Stair/Hanna 14-1 © 2003 by Prentice Hall, Inc. Upper Saddle River, NJ Chapter 14.
Waiting Line Management
Queuing. Elements of Waiting Lines  Population –Source of customers Infinite or finite.
19-1 McGraw-Hill Ryerson Operations Management, 2 nd Canadian Edition, by Stevenson & Hojati Copyright © 2004 by The McGraw-Hill Companies, Inc. All rights.
To accompany Quantitative Analysis for Management, 9e by Render/Stair/Hanna 14-1 © 2003 by Prentice Hall, Inc. Upper Saddle River, NJ Chapter 14.
Waiting Line Analysis for Service Improvement
Chapter 9: Queuing Models
Group members  Hamid Ullah Mian  Mirajuddin  Safi Ullah.

Queuing Theory (Waiting Line Models)
Copyright 2006 John Wiley & Sons, Inc. Beni Asllani University of Tennessee at Chattanooga Waiting Line Analysis for Service Improvement Operations Management.
D-1 © 2004 by Prentice Hall, Inc., Upper Saddle River, N.J Operations Management Waiting-Line Models Module D.
1 1 © 2003 Thomson  /South-Western Slide Slides Prepared by JOHN S. LOUCKS St. Edward’s University.
1 Queuing Analysis Overview What is queuing analysis? - to study how people behave in waiting in line so that we could provide a solution with minimizing.
Structure of a Waiting Line System Queuing theory is the study of waiting lines Four characteristics of a queuing system: –The manner in which customers.
1-1 McGraw-Hill/Irwin ©2009 The McGraw-Hill Companies, All Rights Reserved 1 Chapter 8A Waiting Line Management.
Waiting Lines and Queuing Models. Queuing Theory  The study of the behavior of waiting lines Importance to business There is a tradeoff between faster.
1 Queuing Systems (2). Queueing Models (Henry C. Co)2 Queuing Analysis Cost of service capacity Cost of customers waiting Cost Service capacity Total.
Components of the Queuing System
Copyright 2006 John Wiley & Sons, Inc. Beni Asllani University of Tennessee at Chattanooga Waiting Line Analysis for Service Improvement Operations Management.
Waiting Lines and Queuing Theory Models
1 1 Slide © 2009 South-Western, a part of Cengage Learning Slides by John Loucks St. Edward’s University.
Chapter 1 Introduction. “Wait-in-line” is a common phenomenon in everywhere. Reason: Demand is more than service. “How long must a customer wait?” or.
Structure of a Waiting Line System Queuing theory is the study of waiting lines Four characteristics of a queuing system: –The manner in which customers.
Chapter 6 Queueing Models
Waiting Line Theory Akhid Yulianto, SE, MSc (log).
1 1 Slide Chapter 12 Waiting Line Models n The Structure of a Waiting Line System n Queuing Systems n Queuing System Input Characteristics n Queuing System.
Introduction Definition M/M queues M/M/1 M/M/S M/M/infinity M/M/S/K.
Delays  Deterministic Assumes “error free” type case Delay only when demand (known) exceeds capacity (known)  Stochastic Delay may occur any time Random.
CS 4594 Broadband Intro to Queuing Theory. Kendall Notation Kendall notation: [Kendal 1951] A/B/c/k/m/Z A = arrival probability distribution (most often.
Waiting Line Theroy BY, PRAYASH NEUPANE, KARAN CHAND & SANTOSH SHERESTHA.
Queuing Models.
OPERATIONS MANAGEMENT INTEGRATING MANUFACTURING AND SERVICES FIFTH EDITION Mark M. Davis Janelle Heineke Copyright ©2005, The McGraw-Hill Companies, Inc.
Queuing Theory Important definition in Queuing Theory: We define various terms, which are used in our queue model. 1.Queue length: The number of customers.
Abu Bashar Queuing Theory. What is queuing ?? Queues or waiting lines arise when the demand for a service facility exceeds the capacity of that facility,
Managerial Decision Making Chapter 13 Queuing Models.
Module D Waiting Line Models.
McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved.
WAITING LINES AND SIMULATION
Chapter 1 Introduction.
“QUEUING THEORY”.
Models of Traffic Flow 1.
McGraw-Hill/Irwin ©2009 The McGraw-Hill Companies, All Rights Reserved
Queueing Theory What is a queue? Examples of queues:
Chapter 9: Queuing Models
Demo on Queuing Concepts
Birth-Death Process Birth – arrival of a customer to the system
Chapter 5 Designing Services.
Solutions Queueing Theory 1
Waiting Lines Queues.
Variability 8/24/04 Paul A. Jensen
Mitchell Jareo MAT4340 – Operations Research Dr. Bauldry
Model Antrian M/M/s.
Queueing Theory 2008.
Waiting Line Models Waiting takes place in virtually every productive process or service. Since the time spent by people and things waiting in line is.
Queuing Models J. Mercy Arokia Rani Assistant Professor
Presentation transcript:

Queuing Systems 63.210 Don Sutton

Why Waiting Lines Random Arrivals Service Time Distribution

Cost Trade-off Wait Cost Service Cost

Characteristics of a Queuing System Arrival Characteristics Calling population Pattern of arrivals Arrival behavior Waiting Line Characteristics Queue length Queue discipline Static or dynamic

Characteristics of a Queuing System (cont) Service Facility Characteristics Queuing Configuration Service Time Distribution

Operational Characteristics Key variables λ - mean number of arrivals per time period μ – mean number of people or items serviced per time period Definitions L = the average number of customers or units in the system W = the average time a customer spends in the system

Operational Characteristics (cont) Definitions (cont) Lq = The average number of customers in the queue Wq – The average time a customer spends waiting in the queue ρ = the probability that the service facility is being used Po = the probability that no one is in the system

Different equations for the operational characteristics for each model Two Queuing Models Single channel Multiple channel Different equations for the operational characteristics for each model