Model Antrian Tunggal Pertemuan 20

Slides:



Advertisements
Similar presentations
Components of the Queuing System
Advertisements

Model Antrian (Waiting Line Models ) Pertemuan 18:
IE 429, Parisay, January 2003 Review of Probability and Statistics: Experiment outcome: constant, random variable Random variable: discrete, continuous.
Model Antrian Ganda Pertemuan 21 Matakuliah: K0414 / Riset Operasi Bisnis dan Industri Tahun: 2008 / 2009.
Review of Probability Distributions
QMD: Waiting-line analysis
D Waiting-Line Models PowerPoint presentation to accompany
Model Antrian By : Render, ect. Outline  Characteristics of a Waiting-Line System.  Arrival characteristics.  Waiting-Line characteristics.  Service.
Waiting Lines and Queuing Theory Models
© The McGraw-Hill Companies, Inc., Technical Note 6 Waiting Line Management.
Queuing Systems Chapter 17.
D – 1 Operations Management Module D – Waiting-Line Models © 2006 Prentice Hall, Inc. PowerPoint presentation to accompany Heizer/Render Principles of.
To accompany Quantitative Analysis for Management, 8e by Render/Stair/Hanna 14-1 © 2003 by Prentice Hall, Inc. Upper Saddle River, NJ Chapter 14.
Simulating Single server queuing models. Consider the following sequence of activities that each customer undergoes: 1.Customer arrives 2.Customer waits.
Queuing. Elements of Waiting Lines  Population –Source of customers Infinite or finite.
To Accompany Russell and Taylor, Operations Management, 4th Edition,  2003 Prentice-Hall, Inc. All rights reserved. Chapter 16 Waiting Line Models and.
D – 1 Operations Management Module D – Waiting-Line Models © 2006 Prentice Hall, Inc. PowerPoint presentation to accompany Heizer/Render Principles of.
To accompany Quantitative Analysis for Management, 9e by Render/Stair/Hanna 14-1 © 2003 by Prentice Hall, Inc. Upper Saddle River, NJ Chapter 14.
Operations Management Waiting-Line Models Module D
Model Antrian By : Render, ect. M/M/1 Example 2 Five copy machines break down at UM St. Louis per eight hour day on average. The average service time.
Chapter 9: Queuing Models
1 1 Slide © 2009 South-Western, a part of Cengage Learning Slides by John Loucks St. Edward’s University.
Queuing Theory (Waiting Line Models)
© 2008 Prentice Hall, Inc.D – 1 Operations Management Module D – Waiting-Line Models PowerPoint presentation to accompany Heizer/Render Principles of Operations.
D Waiting-Line Models PowerPoint presentation to accompany
Copyright 2006 John Wiley & Sons, Inc. Beni Asllani University of Tennessee at Chattanooga Waiting Line Analysis for Service Improvement Operations Management.
Operations Management
Operations Management
Introduction to Management Science
McGraw-Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved. Service Processes CHAPTER 5.
Waiting Line Models (1) Pertemuan 11 Matakuliah: K0442-Metode Kuantitatif Tahun: 2009.
McGraw-Hill/Irwin © 2006 The McGraw-Hill Companies, Inc., All Rights Reserved. 1.
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.
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
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.
Simulasi Probability Pertemuan 23 (GSLC) Matakuliah: K0414 / Riset Operasi Bisnis dan Industri Tahun: 2008 / 2009.
Queuing Models.
Module D Waiting Line Models.
D - 1© 2011 Pearson Education, Inc. publishing as Prentice Hall D D Waiting-Line Models PowerPoint presentation to accompany Heizer and Render Operations.
© 2006 Prentice Hall, Inc.D – 1 Operations Management Module D – Waiting-Line Models © 2006 Prentice Hall, Inc. PowerPoint presentation to accompany Heizer/Render.
McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved.
Chapter 11 Waiting Line Models
“QUEUING THEORY”.
Models of Traffic Flow 1.
McGraw-Hill/Irwin ©2009 The McGraw-Hill Companies, All Rights Reserved
Queuing Models Economic Analyses.
Queueing Theory What is a queue? Examples of queues:
Fuzzy Linear Programming Pertemuan 8 (GSLC)
Chapter 9: Queuing Models
Queuing Systems Don Sutton.
Solutions Queueing Theory 1
Variability 8/24/04 Paul A. Jensen
Solutions Queueing Theory 1
Mitchell Jareo MAT4340 – Operations Research Dr. Bauldry
Model Antrian M/G/1.
Lecture 13 – Queuing Systems
Solutions Queueing Theory 1
24 February 2019 Model Antrian M/D/1.
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:

Model Antrian Tunggal Pertemuan 20 Matakuliah : K0414 / Riset Operasi Bisnis dan Industri Tahun : 2008 / 2009 Model Antrian Tunggal Pertemuan 20

Learning Outcomes Mahasiswa akan dapat menghubungkan masalah antrian tunggal dalam berbagai metode atau teori yang telah dipelajari. Bina Nusantara University

Outline Materi: Model Antrian Tunggal Analisis Pola Pelayanan Model Antrian dengan Prioritas Model antrian tunggal M/M/1 Contoh penerapan. Bina Nusantara University

Types of Queuing Models Simple (M/M/1). Example: Information booth at mall. Multi-channel (M/M/S). Example: Airline ticket counter. Constant Service (M/D/1). Example: Automated car wash. Limited Population. Example: Department with only 7 drills that may break down and require service. Bina Nusantara University

Performance Measures Average queue time = Wq Average queue length = Lq Average time in system = Ws Average number in system = Ls Probability of idle service facility = P0 System utilization =  Probability of more than k units in system = Pn > k Bina Nusantara University

General Queuing Equations =   S W s = 1  q + Given one of Ws , Wq , Ls, or Lq you can use these equations to find all the others. L s =   q + L q =  W L s =  W Bina Nusantara University

M/M/1 Model Type: Single server, single phase system. Input source: Infinite; no balks, no reneging. Queue: Unlimited; single line; FIFO (FCFS). Arrival distribution: Poisson. Service distribution: Negative exponential. Bina Nusantara University

M/M/1 Model Equations Average # of customers in system: L =   -  Average time in system: W s = 1  -  Average # of customers in queue: L q =  2  ( -  ) Average time in queue: W q =   ( -  ) =    System utilization Bina Nusantara University

M/M/1 Probability Equations Probability of 0 units in system, i.e., system idle: 1 -   P = 1 -  = Probability of more than k units in system: ( ) l  k+1 P = n>k This is also probability of k+1 or more units in system. Bina Nusantara University

M/M/1 Example 1 Average arrival rate is 10 per hour. Average service time is 5 minutes.  = 10/hr and  = 12/hr (1/ = 5 minutes = 1/12 hour) Q1: What is the average time between departures? 5 minutes? 6 minutes? Q2: What is the average wait in the system? 1 W = = 0.5 hour or 30 minutes s 12/hr-10/hr Bina Nusantara University

M/M/1 Example 1 Q3: What is the average wait in line?  = 10/hr and  = 12/hr Q3: What is the average wait in line? 10 W = O.41667 hours = 25 minutes = q 12 (12-10) Also note: so W s = 1  q + - 2 12 O.41667 hours Bina Nusantara University

M/M/1 Example 1  = 10/hr and  = 12/hr Q4: What is the average number of customers in line and in the system? 102 4.1667 customers L = = q 12 (12-10) 10 5 customers L = = s 12-10 Also note: L q =  W = 10  0.41667 = 4.1667 q L s =  W = 10  0.5 = 5 s Bina Nusantara University

M/M/1 Example 1  = 10/hr and  = 12/hr Q5: What is the fraction of time the system is empty (server is idle)? 1 -   10 P = 1 -  = = - = 16.67% of the time 1 12 Q6: What is the fraction of time there are more than 5 customers in the system? ( ) 6 10 P = = 33.5% of the time n>5 12 Bina Nusantara University

More than 5 in the system... n>5 Note that “more than 5 in the system” is the same as: “more than 4 in line” “5 or more in line” “6 or more in the system”. All are P n>5 Bina Nusantara University

M/M/1 Example 1  = 10/hr and  = 12/hr Q7: How much time per day (8 hours) are there 6 or more customers in line? P = 0.335 so 33.5% of time there are 6 or more in line. n>5 0.335 x 480 min./day = 160.8 min. = ~2 hr 40 min. Q8: What fraction of time are there 3 or fewer customers in line? 5 = 1 - 1 - P n>4 ( ) 10 12 = 1 - 0.402 = 0.598 or 59.8% Bina Nusantara University

M/M/1 Example 2 Five copy machines break down at UM St. Louis per eight hour day on average. The average service time for repair is one hour and 15 minutes.  = 5/day ( = 0.625/hour) 1/ = 1.25 hours = 0.15625 days  = 1 every 1.25 hours = 6.4/day Q1: What is the number of “customers” in the system? 5/day = = 3.57 broken copiers L S 6.4/day-5/day Bina Nusantara University

M/M/1 Example 2 Q2: How long is the average wait in line?  = 5/day (or  = 0.625/hour)  = 6.4/day (or  = 0.8/hour) Q2: How long is the average wait in line? 5 W = = 0.558 days (or 4.46 hours) q 6.4(6.4 - 5) 0.625 W = = 4.46 hours q 0.8(0.8 - 0.625) Bina Nusantara University

M/M/1 Example 2  = 5/day (or  = 0.625/hour)  = 6.4/day (or  = 0.8/hour) Q3: How much time per day are there 2 or more broken copiers waiting for the repair person? 2 or more “in line” = more than 2 in the system ( ) 3 5 P = = 0.477 (47.7% of the time) n>2 6.4 0.477x 480 min./day = 229 min. = 3 hr 49 min. Bina Nusantara University

Terima Kasih Semoga sukses Bina Nusantara University