Queuing CEE 320. Anne Goodchild CEE 320

Size: px
Start display at page:

Download "Queuing CEE 320. Anne Goodchild CEE 320"

Transcription

1 Queuing Anne Goodchild

2 Fundamentals of Queuing Theory Microscopic traffic flow Different analysis than theory of traffic flow Intervals between vehicles is important Rate of arrivals is important

3 Queuing Terminology think McDonalds Customers requiring i service are generated over time by an input source These customers enter the queuing system and join a queue At certain times, a member of the queue is selected for service by some rule known as the queue discipline. The required service is then performed for the customer by the service mechanism, after which the customer leaves the queuing system.

4 Non-traffic queuing examples Single channel/server Wendy s, ATM Fast-food drive through Multiple channel/server (one arrival channel) Bank teller Airport check-in counter Burger King Multiple channel/server (multiple arrival channels) Grocery/retail store (Publix, Lowe s, Wal-Mart) McDonald s

5 Demand Population/ Arrival Pattern Equal time headways Based on uniform distribution Exponentially distributed time headways Based on Poisson distribution

6 Queue Disciplines Refers to the order in which members of the queue are selected for service FIFO first-in first-out First customer to arrive is first to depart LIFO last-in first-out Last customer into queue is first to leave SIRO service in random order Pi Priorityit Customers get served in order of priority (highest to lowest)

7 Service Mechanism/ Departure Pattern Time elapsed from start to finish of service Again, potential patterns: Equal time headways Based on uniform distribution Exponentially distributed time headways Based on Poisson distribution

8 Number of Servers/Departure Channels Single channel/server One server for all queued customers Multiple channel/server Finite number of identical servers operating in a parallel configuration Infinite-server A server for every customer Don t we wish!

9 Examples of different queue disciplines (non-traffic) FIFO Bank teller line, Wendy s LIFO Elevator Cafeteria trays

10 Examples of different queue disciplines (non-traffic) Priority Sinking ship women and children first Hospital waiting room most injured first Getting bumped by more important people (fancy restaurant)

11 Traffic Queuing Examples Left-turn bay length Number of approach lanes at a signal controlled intersection Number of toll plaza booths Number of border crossing booths Narrow bridge

12 Examples of different queue disciplines (traffic) FIFO Traffic signal LIFO Elevator

13 Parallel, Serial Queue Systems Parallel Toll booths Retail store checkout Some fast food restaurants Serial Opening night of a movie Ticket line, line to get into theater, line for snacks

14 Queuing Model Notation Arrival pattern/departure pattern/# of departure channels alpha/alpha / # D for uniform, deterministic M for exponential, stochastic e.g., g, D/D/1, M/M/2

15 Statistics of Interest Average queue length Average number in system Maximum queue length Average waiting time in queue Average time in system

16 Activated Upstream of bottleneck/server Downstream Arrivals Departures Server/bottleneck Direction of flow

17 Not Activated Arrivals Departures server

18 Flow Analysis Bottleneck active Service rate is capacity Downstream flow is determined by bottleneck service rate Arrival rate > departure rate Queue present

19 Flow Analysis Bottle neck not active Arrival rate < departure rate No queue present Service rate = arrival rate Downstream flow equals upstream flow

20 Queue Analysis Graphical Ve ehicles D/D/1 Queue Delay of n th arriving vehicle Maximum queue Maximum delay Departure Rate Arrival Rate Total vehicle delay Queue at time, t 1 t 1 Time Where is capacity?

Chapter III TRANSPORTATION SYSTEM. Tewodros N.

Chapter III TRANSPORTATION SYSTEM. Tewodros N. Chapter III TRANSPORTATION SYSTEM ANALYSIS www.tnigatu.wordpress.com tedynihe@gmail.com Lecture Overview Traffic engineering studies Spot speed studies Volume studies Travel time and delay studies Parking

More information

Queuing Theory 1.1 Introduction

Queuing Theory 1.1 Introduction Queuing Theory 1.1 Introduction A common situation occurring in everyday life is that of queuing or waiting in a line. Queues (waiting lines) are usually seen at bus stop, ticket booths, doctor s clinics,

More information

QUEUING THEORY 4.1 INTRODUCTION

QUEUING THEORY 4.1 INTRODUCTION C h a p t e r QUEUING THEORY 4.1 INTRODUCTION Queuing theory, which deals with the study of queues or waiting lines, is one of the most important areas of operation management. In organizations or in personal

More information

ISM 270. Service Engineering and Management Lecture 7: Queuing Systems, Capacity Management

ISM 270. Service Engineering and Management Lecture 7: Queuing Systems, Capacity Management ISM 270 Service Engineering and Management Lecture 7: Queuing Systems, Capacity Management 1 Queuing Systems CHARACTERISTICS OF A WAITING LINE SYSTEM Arrival Characteris=cs Wai=ng Line Characteris=cs Service

More information

OPERATING SYSTEMS. Systems and Models. CS 3502 Spring Chapter 03

OPERATING SYSTEMS. Systems and Models. CS 3502 Spring Chapter 03 OPERATING SYSTEMS CS 3502 Spring 2018 Systems and Models Chapter 03 Systems and Models A system is the part of the real world under study. It is composed of a set of entities interacting among themselves

More information

An-Najah National University Faculty of Engineering Industrial Engineering Department. System Dynamics. Instructor: Eng.

An-Najah National University Faculty of Engineering Industrial Engineering Department. System Dynamics. Instructor: Eng. An-Najah National University Faculty of Engineering Industrial Engineering Department System Dynamics Instructor: Eng. Tamer Haddad Introduction Knowing how the elements of a system interact & how overall

More information

Hamdy A. Taha, OPERATIONS RESEARCH, AN INTRODUCTION, 5 th edition, Maxwell Macmillan International, 1992

Hamdy A. Taha, OPERATIONS RESEARCH, AN INTRODUCTION, 5 th edition, Maxwell Macmillan International, 1992 Reference books: Anderson, Sweeney, and Williams, AN INTRODUCTION TO MANAGEMENT SCIENCE, QUANTITATIVE APPROACHES TO DECISION MAKING, 7 th edition, West Publishing Company,1994 Hamdy A. Taha, OPERATIONS

More information

Use of Queuing Models in Health Care - PPT

Use of Queuing Models in Health Care - PPT University of Wisconsin-Madison From the SelectedWorks of Vikas Singh December, 2006 Use of Queuing Models in Health Care - PPT Vikas Singh, University of Arkansas for Medical Sciences Available at: https://works.bepress.com/vikas_singh/13/

More information

Chapter 14. Waiting Lines and Queuing Theory Models

Chapter 14. Waiting Lines and Queuing Theory Models Chapter 4 Waiting Lines and Queuing Theory Models To accompany Quantitative Analysis for Management, Tenth Edition, by Render, Stair, and Hanna Power Point slides created by Jeff Heyl 2008 Prentice-Hall,

More information

Queuing Theory. Carles Sitompul

Queuing Theory. Carles Sitompul Queuing Theory Carles Sitompul Syllables Some queuing terminology (22.1) Modeling arrival and service processes (22.2) Birth-Death processes (22.3) M/M/1/GD/ / queuing system and queuing optimization model

More information

Textbook: pp Chapter 12: Waiting Lines and Queuing Theory Models

Textbook: pp Chapter 12: Waiting Lines and Queuing Theory Models 1 Textbook: pp. 445-478 Chapter 12: Waiting Lines and Queuing Theory Models 2 Learning Objectives (1 of 2) After completing this chapter, students will be able to: Describe the trade-off curves for cost-of-waiting

More information

OPERATIONS RESEARCH Code: MB0048. Section-A

OPERATIONS RESEARCH Code: MB0048. Section-A Time: 2 hours OPERATIONS RESEARCH Code: MB0048 Max.Marks:140 Section-A Answer the following 1. Which of the following is an example of a mathematical model? a. Iconic model b. Replacement model c. Analogue

More information

A Simulation Study on M/M/1 and M/M/C Queueing Model in a Multi Speciality Hospital

A Simulation Study on M/M/1 and M/M/C Queueing Model in a Multi Speciality Hospital lobal Journal of Pure and Applied Mathematics. ISSN - Volume, Number (), pp. - Research India Publications http://www.ripublication.com A Simulation Study on M/M/ and M/M/C Queueing Model in a Multi Speciality

More information

Chapter 13. Waiting Lines and Queuing Theory Models

Chapter 13. Waiting Lines and Queuing Theory Models Chapter 13 Waiting Lines and Queuing Theory Models To accompany Quantitative Analysis for Management, Eleventh Edition, by Render, Stair, and Hanna Power Point slides created by Brian Peterson Learning

More information

Application of Queuing Theory in a Small Enterprise

Application of Queuing Theory in a Small Enterprise Application of Queuing Theory in a Small Enterprise Anindita Sharma 1#, Parimal Bakul Barua 2# 1 M.E. student, 2 Professor and H.O.D. # Department of Mechanical Engineering, Jorhat Engineering College,

More information

Queuing Theory: A Case Study to Improve the Quality Services of a Restaurant

Queuing Theory: A Case Study to Improve the Quality Services of a Restaurant Queuing Theory: A Case Study to Improve the Quality Services of a Restaurant Lakhan Patidar 1*, Trilok Singh Bisoniya 2, Aditya Abhishek 3, Pulak Kamar Ray 4 Department of Mechanical Engineering, SIRT-E,

More information

Application of queuing theory in construction industry

Application of queuing theory in construction industry Application of queuing theory in construction industry Vjacheslav Usmanov 1 *, Čeněk Jarský 1 1 Department of Construction Technology, FCE, CTU Prague, Czech Republic * Corresponding author (usmanov@seznam.cz)

More information

Chapter C Waiting Lines

Chapter C Waiting Lines Supplement C Waiting Lines Chapter C Waiting Lines TRUE/FALSE 1. Waiting lines cannot develop if the time to process a customer is constant. Answer: False Reference: Why Waiting Lines Form Keywords: waiting,

More information

PERFORMANCE MODELING OF AUTOMATED MANUFACTURING SYSTEMS

PERFORMANCE MODELING OF AUTOMATED MANUFACTURING SYSTEMS PERFORMANCE MODELING OF AUTOMATED MANUFACTURING SYSTEMS N. VISWANADHAM Department of Computer Science and Automation Indian Institute of Science Y NARAHARI Department of Computer Science and Automation

More information

Simulating Queuing Models in SAS

Simulating Queuing Models in SAS ABSTRACT Simulating Queuing Models in SAS Danny Rithy, California Polytechnic State University, San Luis Obispo, CA This paper introduces users to how to simulate queuing models using SAS. SAS will simulate

More information

BUSSINES SIMULATING PROCES FOR THE PRODUCTION SURROUND, USING QUEUEING SYSTEM SIMULATION WITH WINQSB

BUSSINES SIMULATING PROCES FOR THE PRODUCTION SURROUND, USING QUEUEING SYSTEM SIMULATION WITH WINQSB 7 th International Conference Research and Development in Mechanical Industry RaDMI 2007 16-20. September 2007, Belgrade, Serbia BUSSINES SIMULATING PROCES FOR THE PRODUCTION SURROUND, USING QUEUEING SYSTEM

More information

COMPUTATIONAL ANALYSIS OF A MULTI-SERVER BULK ARRIVAL WITH TWO MODES SERVER BREAKDOWN

COMPUTATIONAL ANALYSIS OF A MULTI-SERVER BULK ARRIVAL WITH TWO MODES SERVER BREAKDOWN Mathematical and Computational Applications, Vol. 1, No. 2, pp. 249-259, 25. Association for cientific Research COMPUTATIONAL ANALYI OF A MULTI-ERVER BULK ARRIVAL ITH TO MODE ERVER BREAKDON A. M. ultan,

More information

Logistics Management for Improving Service Level of Toll Plaza by Mathematical Model and Simulation

Logistics Management for Improving Service Level of Toll Plaza by Mathematical Model and Simulation Logistics Management for Improving Service Level of Toll Plaza by Mathematical Model and Simulation Rattanasit Thangkitjareonmongkol 1, Attakorn Jaruthien 2 1 Faculty of Engineering, Mahidol Univarsity.

More information

Simulation Technique for Queuing Theory: A Case Study

Simulation Technique for Queuing Theory: A Case Study Oct - Dec 2015 Transactions 2(8): 388-396 eissn : 2349 0020 pissn : 2394-4544 S T A T I S T I C S C A S E S T U D Y Simulation Technique f Queuing They: A Case Study Dr. R. Ramakrishna 1 and Mr. KedirMohamedhusien

More information

Determining the Maximum Allowable Headway

Determining the Maximum Allowable Headway 36 Determining the Maximum Allowable Headway The purpose of this activity is to give you the opportunity to determine the maximum allowable headway (MAH) for your intersection. Select an MAH VISSIM input

More information

Lecture 45. Waiting Lines. Learning Objectives

Lecture 45. Waiting Lines. Learning Objectives Lecture 45 Waiting Lines Learning Objectives After completing the lecture, we should be able to explain the formation of waiting lines in unloaded systems, identify the goal of queuing ( waiting line)

More information

The use of the Animate Transfer toolbar and various transportation-related modules will be illustrated in three examples in the sequel.

The use of the Animate Transfer toolbar and various transportation-related modules will be illustrated in three examples in the sequel. 316 Modeling Transportation Systems button of the Animate toolbar. A graphical Storage T-bar graphically depicts the entities in a storage facility. The Seize button allows the modeler to define a so-called

More information

International Journal of Scientific & Engineering Research, Volume 8, Issue 1, January ISSN

International Journal of Scientific & Engineering Research, Volume 8, Issue 1, January ISSN International Journal of Scientific & Engineering Research, Volume 8, Issue 1, January-2017 1700 ANALYSIS OF MULTIPLE-QUEUE MULTIPLE-SERVER QUEUING SYSTEM: A CASE STUDY OF FIRST BANK NIG. PLC, AFIKPO BRANCH

More information

Midterm for CpE/EE/PEP 345 Modeling and Simulation Stevens Institute of Technology Fall 2003

Midterm for CpE/EE/PEP 345 Modeling and Simulation Stevens Institute of Technology Fall 2003 Midterm for CpE/EE/PEP 345 Modeling and Simulation Stevens Institute of Technology Fall 003 The midterm is open book/open notes. Total value is 100 points (30% of course grade). All questions are equally

More information

THE APPLICATION OF QUEUEING MODEL/WAITING LINES IN IMPROVING SERVICE DELIVERING IN NIGERIA S HIGHER INSTITUTIONS

THE APPLICATION OF QUEUEING MODEL/WAITING LINES IN IMPROVING SERVICE DELIVERING IN NIGERIA S HIGHER INSTITUTIONS International Journal of Economics, Commerce and Management United Kingdom Vol. III, Issue 1, Jan 2015 http://ijecm.co.uk/ ISSN 2348 0386 THE APPLICATION OF QUEUEING MODEL/WAITING LINES IN IMPROVING SERVICE

More information

G54SIM (Spring 2016)

G54SIM (Spring 2016) G54SIM (Spring 2016) Lecture 03 Introduction to Conceptual Modelling Peer-Olaf Siebers pos@cs.nott.ac.uk Motivation Define what a conceptual model is and how to communicate such a model Demonstrate how

More information

INDEPENDENT JOURNAL OF MANAGEMENT & PRODUCTION (IJM&P)

INDEPENDENT JOURNAL OF MANAGEMENT & PRODUCTION (IJM&P) APPLICATION OF QUEUING THEORY TO A FAST FOOD OUTFIT: A STUDY OF BLUE MEADOWS RESTAURANT Seigha Gumus Department of Research, Collaboration and Consultancy South-South Office, National Centre for Technology

More information

A Comparitive Study on M/M/1 and M/M/C Queueing Models Using Monte Carlo Simulation

A Comparitive Study on M/M/1 and M/M/C Queueing Models Using Monte Carlo Simulation Global Journal of Pure and Applied Mathematics. ISSN 0973-1768 Volume 13, Number 11 (2017), pp. 7843-7853 Research India Publications http://www.ripublication.com A Comparitive Study on M/M/1 and M/M/C

More information

Reducing Customer Waiting Time with New Layout Design

Reducing Customer Waiting Time with New Layout Design Reducing Customer Waiting Time with New Layout Design 1 Vinod Bandu Burkul, 2 Joon-Yeoul Oh, 3 Larry Peel, 4 HeeJoong Yang 1 Texas A&M University-Kingsville, vinodreddy.velmula@gmail.com 2*Corresponding

More information

KWAME NKRUMAH UNIVERSITY OF SCIENCE AND TECHNOLOGY. Modelling Queuing system in Healthcare centres. A case study of the

KWAME NKRUMAH UNIVERSITY OF SCIENCE AND TECHNOLOGY. Modelling Queuing system in Healthcare centres. A case study of the KWAME NKRUMAH UNIVERSITY OF SCIENCE AND TECHNOLOGY Modelling Queuing system in Healthcare centres. A case study of the dental department of the Essikado Hospital, Sekondi By Rebecca Nduba Quarm A THESIS

More information

Techniques of Operations Research

Techniques of Operations Research Techniques of Operations Research C HAPTER 2 2.1 INTRODUCTION The term, Operations Research was first coined in 1940 by McClosky and Trefthen in a small town called Bowdsey of the United Kingdom. This

More information

ASSESSING THE IMPACT OF SECURITY MEASURES AT GATES OF SEAPORTS ON TRAFFIC OPERATION

ASSESSING THE IMPACT OF SECURITY MEASURES AT GATES OF SEAPORTS ON TRAFFIC OPERATION ASSESSING THE IMPACT OF SECURITY MEASURES AT GATES OF SEAPORTS ON TRAFFIC OPERATION Dr. Arun Chatterjee Professor Emeritus Dept of Civil & Environmental Engineering The University of Tennessee Knoxville,

More information

Business Systems Operations Management

Business Systems Operations Management Business Systems Operations Management Facilitator: Dr. Jonathan Farrell 1 This Evening s s Program Capacity Planning & Control Aggregate Planning Capacity versus Demand The Planning Process Managing Capacity

More information

Modeling and Simulation of a Bank Queuing System

Modeling and Simulation of a Bank Queuing System 2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation Modeling and Simulation of a Bank Queuing System Najmeh Madadi, Arousha Haghighian Roudsari, Kuan Yew Wong, Masoud

More information

Chapter 2 Simulation Examples. Banks, Carson, Nelson & Nicol Discrete-Event System Simulation

Chapter 2 Simulation Examples. Banks, Carson, Nelson & Nicol Discrete-Event System Simulation Chapter 2 Simulation Examples Banks, Carson, Nelson & Nicol Discrete-Event System Simulation Purpose To present several examples of simulations that can be performed by devising a simulation table either

More information

Two-Lane Highway Work Zone Capacity Model and Control Analysis

Two-Lane Highway Work Zone Capacity Model and Control Analysis Two-Lane Highway Work Zone Capacity Model and Control Analysis Wenbo Zhu A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Civil Engineering University

More information

INDIAN INSTITUTE OF MATERIALS MANAGEMENT Post Graduate Diploma in Materials Management PAPER 18 C OPERATIONS RESEARCH.

INDIAN INSTITUTE OF MATERIALS MANAGEMENT Post Graduate Diploma in Materials Management PAPER 18 C OPERATIONS RESEARCH. INDIAN INSTITUTE OF MATERIALS MANAGEMENT Post Graduate Diploma in Materials Management PAPER 18 C OPERATIONS RESEARCH. Dec 2014 DATE: 20.12.2014 Max. Marks: 100 TIME: 2.00 p.m to 5.00 p.m. Duration: 03

More information

The Study of Difference of Efficiency of a Bank in a Rural Area and a Bank in a Town

The Study of Difference of Efficiency of a Bank in a Rural Area and a Bank in a Town International Journal of Engineering Research and Development e-issn: 2278-067X, p-issn: 2278-800X, www.ijerd.com Volume 4, Issue 4 (October 2012), PP. 22-33 The Study of Difference of Efficiency of a

More information

UNIT - 1 INTRODUCTION:

UNIT - 1 INTRODUCTION: 1 SYSTEM MODELING AND SIMULATION UNIT-1 VIK UNIT - 1 INTRODUCTION: When simulation is the appropriate tool and when it is not appropriate; Advantages and disadvantages of Simulation; Areas of application;

More information

and type II customers arrive in batches of size k with probability d k

and type II customers arrive in batches of size k with probability d k xv Preface Decision making is an important task of any industry. Operations research is a discipline that helps to solve decision making problems to make viable decision one needs exact and reliable information

More information

BERTHING PROBLEM OF SHIPS IN CHITTAGONG PORT AND PROPOSAL FOR ITS SOLUTION

BERTHING PROBLEM OF SHIPS IN CHITTAGONG PORT AND PROPOSAL FOR ITS SOLUTION 66 BERTHING PROBLEM OF SHIPS IN CHITTAGONG PORT AND PROPOSAL FOR ITS SOLUTION A. K. M. Solayman Hoque Additional Chief Engineer, Chittagong Dry Dock Limited, Patenga, Chittagong, Bnagladesh S. K. Biswas

More information

Banks, Carson, Nelson & Nicol

Banks, Carson, Nelson & Nicol Banks, Carson, Nelson & Nicol Discrete-Event System Simulation Purpose To present several examples of simulations that can be performed by devising a simulation table either manually or with a spreadsheet.

More information

4 BUILDING YOUR FIRST MODEL. L4.1 Building Your First Simulation Model. Knowing is not enough; we must apply. Willing is not enough; we must do.

4 BUILDING YOUR FIRST MODEL. L4.1 Building Your First Simulation Model. Knowing is not enough; we must apply. Willing is not enough; we must do. Pro, Second Edition L A B 4 BUILDING YOUR FIRST MODEL Knowing is not enough; we must apply. Willing is not enough; we must do. Johann von Goethe In this lab we build our first simulation model using Pro.

More information

Sizing Contact Center Resources

Sizing Contact Center Resources Central to designing a Cisco Unified Contact Center (or any contact center) is the proper sizing of its resources. This chapter discusses the tools and methodologies needed to determine the required number

More information

Application the Queuing Theory in the Warehouse Optimization Jaroslav Masek, Juraj Camaj, Eva Nedeliakova

Application the Queuing Theory in the Warehouse Optimization Jaroslav Masek, Juraj Camaj, Eva Nedeliakova Application the Queuing Theory in the Warehouse Optimization Jaroslav Masek, Juraj Camaj, Eva Nedeliakova Abstract The aim of optimization of store management is not only designing the situation of store

More information

An evaluation of SCATS Master Isolated control

An evaluation of SCATS Master Isolated control Akcelik & Associates Pty Ltd REPRINT with MINOR REVISIONS An evaluation of SCATS Master Isolated control Reference: AKÇELIK, R., BESLEY M. and CHUNG, E. (1998). An evaluation of SCATS Master Isolated control.

More information

Cost Effective Decisions on Service Rate at a Customer Care Centre with Multi-Server Queuing Model

Cost Effective Decisions on Service Rate at a Customer Care Centre with Multi-Server Queuing Model Cost Effective Decisions on Service Rate at a Customer Care Centre with Multi-Server Queuing Model Khairun Nahar*, Md. Zahidul Islam and Md. Minarul Islam Telecom sector is a very large, competitive and

More information

The Application of Waiting Lines System in Improving Customer Service Management: The Examination of Malaysia Fast Food Restaurants Industry

The Application of Waiting Lines System in Improving Customer Service Management: The Examination of Malaysia Fast Food Restaurants Industry IOP Conference Series: Earth and Environmental Science PAPER OPEN ACCESS The Application of Waiting Lines System in Improving Customer Service Management: The Examination of Malaysia Fast Food Restaurants

More information

IE221: Operations Research Probabilistic Methods

IE221: Operations Research Probabilistic Methods IE221: Operations Research Probabilistic Methods Fall 2001 Lehigh University IMSE Department Tue, 28 Aug 2001 IE221: Lecture 1 1 History of OR Britain, WWII (1938). Multi-disciplinary team of scientists

More information

CONTENTS CHAPTER TOPIC PAGE NUMBER

CONTENTS CHAPTER TOPIC PAGE NUMBER CONTENTS CHAPTER TOPIC PAGE NUMBER 1 Introduction to Simulation 1 1.1 Introduction 1 1.1.1 What is Simulation? 2 1.2 Decision and Decision Models 2 1.3 Definition of Simulation 7 1.4 Applications of Simulation

More information

IMPLEMENTING TOLL PLAZA ANALYSIS INTO FREEPLAN

IMPLEMENTING TOLL PLAZA ANALYSIS INTO FREEPLAN IMPLEMENTING TOLL PLAZA ANALYSIS INTO FREEPLAN By ROBIN PHILIP OSBORNE A THESIS PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF

More information

Discrete Event Simulation: A comparative study using Empirical Modelling as a new approach.

Discrete Event Simulation: A comparative study using Empirical Modelling as a new approach. Discrete Event Simulation: A comparative study using Empirical Modelling as a new approach. 0301941 Abstract This study introduces Empirical Modelling as a new approach to create Discrete Event Simulations

More information

Optimal staffing policy for queuing systems with cyclic demands: waiting cost approach

Optimal staffing policy for queuing systems with cyclic demands: waiting cost approach 007-0417 Optimal staffing policy for queuing systems with cyclic demands: waiting cost approach Pen-Yuan Liao Department of Business Management, College of Management, National United University, 1 Lien

More information

REAL-TIME MERGING TRAFFIC CONTROL AT CONGESTED FREEWAY OFF-RAMP AREAS

REAL-TIME MERGING TRAFFIC CONTROL AT CONGESTED FREEWAY OFF-RAMP AREAS REAL-TIME MERGING TRAFFIC CONTROL AT CONGESTED FREEWAY OFF-RAMP AREAS By Anastasia Spiliopoulou* PhD Dynamic Systems and Simulation Laboratory Department of Production Engineering and Management Technical

More information

Comparison of Queue Lengths Estimations at AWSC Intersections using Highway Capacity Software, Sidra Intersection, and SimTraffic

Comparison of Queue Lengths Estimations at AWSC Intersections using Highway Capacity Software, Sidra Intersection, and SimTraffic Comparison of Queue Lengths Estimations at AWSC Intersections using Highway Capacity Software, Sidra Intersection, and SimTraffic Daniel Lai May 2, 2009 Characteristics of an All-Way Stop Controlled (AWSC)

More information

The Secrets to HCM Consistency Using Simulation Models

The Secrets to HCM Consistency Using Simulation Models The Secrets to HCM Consistency Using Simulation Models Ronald T. Milam, AICP David Stanek, PE Chris Breiland Fehr & Peers 2990 Lava Ridge Court, Suite 200 Roseville, CA 95661 r.milam@fehrandpeers.com (916)

More information

Chapter 9 Balancing Demand and Productive Capacity

Chapter 9 Balancing Demand and Productive Capacity GENERAL CONTENT Multiple Choice Questions Chapter 9 Balancing Demand and Productive Capacity 1. Which of the following is NOT one of the productive capacity forms in a service context? a. Physical facilities

More information

Tradeoffs between Base Stock Levels, Numbers of Kanbans and Planned Supply Lead Times in Production-Inventory Systems with Advance Demand Information

Tradeoffs between Base Stock Levels, Numbers of Kanbans and Planned Supply Lead Times in Production-Inventory Systems with Advance Demand Information Tradeoffs between Base tock Levels, Numbers of anbans and Planned upply Lead Times in Production-Inventory ystems with Advance Demand Information George Liberopoulos and telios oukoumialos University of

More information

Model, analysis and application of employee assignment for quick service restaurant

Model, analysis and application of employee assignment for quick service restaurant Model, analysis and application of employee assignment for quic service restaurant Chun-Hsiung Lan Graduate Institute of Management Sciences Nanhua University Dalin, Chiayi Taiwan 622 R.O.C. Kuo-Torng

More information

The Use of Simulation for Bulk Cargo Terminal Planning and Design

The Use of Simulation for Bulk Cargo Terminal Planning and Design The Use of Simulation for Bulk Cargo Terminal Planning and Design What is Simulation Simulation is the imitation of real system Based on knowledge and assumptions of system To obtain insights in the behavior

More information

U-turn Waiting Time Estimation at Midblock Median Opening

U-turn Waiting Time Estimation at Midblock Median Opening U-turn Waiting Time Estimation at Midblock Median Opening Thakonlaphat JENJIWATTANAKUL a, Kazushi SANO b, Hiroaki NISHIUCHI c a Department of Civil Engineering, Siam University, Bangkok, 10160, Thailand;

More information

OPTIMIZING RAMP METERING STRATEGIES

OPTIMIZING RAMP METERING STRATEGIES OPTIMIZING RAMP METERING STRATEGIES Presented by Kouros Mohammadian, Ph.D. Saurav Chakrabarti. ITS Midwest Annual Meeting Chicago, Illinois February 7, 2006 Background Ramp control is the application of

More information

CPU scheduling. CPU Scheduling

CPU scheduling. CPU Scheduling EECS 3221 Operating System Fundamentals No.4 CPU scheduling Prof. Hui Jiang Dept of Electrical Engineering and Computer Science, York University CPU Scheduling CPU scheduling is the basis of multiprogramming

More information

Cost Effective Decisions on Service Rate at a Customer Care Centre with Multi-Server Queuing Model

Cost Effective Decisions on Service Rate at a Customer Care Centre with Multi-Server Queuing Model Journal of Modern Science and Technology Vol. 4. No. 1. September 2016 Issue. Pp. 144 153 Cost Effective Decisions on Service Rate at a Customer Care Centre with Multi-Server Queuing Model Khairun Nahar*,

More information

Ferry Rusgiyarto S3-Student at Civil Engineering Post Graduate Department, ITB, Bandung 40132, Indonesia

Ferry Rusgiyarto S3-Student at Civil Engineering Post Graduate Department, ITB, Bandung 40132, Indonesia International Journal of Civil Engineering and Technology (IJCIET) Volume 8, Issue 10, October 2017, pp. 1085 1095, Article ID: IJCIET_08_10_112 Available online at http://http://www.iaeme.com/ijciet/issues.asp?jtype=ijciet&vtype=8&itype=10

More information

PLATOON-BASED ARTERIAL SIGNAL COORDINATION WITH UNEVEN DOUBLE CYCLING

PLATOON-BASED ARTERIAL SIGNAL COORDINATION WITH UNEVEN DOUBLE CYCLING PLATOON-BASED ARTERIAL SIGNAL COORDINATION WITH UNEVEN DOUBLE CYCLING A Ph.D. Dissertation Proposal By HONGMIN (TRACY) ZHOU Submitted to the Office of Graduate Studies Texas A&M University in partial fulfillment

More information

Development of TSP warrants. to-day variability in traffic demand

Development of TSP warrants. to-day variability in traffic demand Development of TSP warrants considering vehicular emissions and day-to to-day variability in traffic demand Zeeshan Abdy Supervisor: Bruce R. Hellinga Dec 2006 Introduction Signalized intersections Traffic

More information

Mathematical Modeling and Analysis of Finite Queueing System with Unreliable Single Server

Mathematical Modeling and Analysis of Finite Queueing System with Unreliable Single Server IOSR Journal of Mathematics (IOSR-JM) e-issn: 2278-5728, p-issn: 2319-765X. Volume 12, Issue 3 Ver. VII (May. - Jun. 2016), PP 08-14 www.iosrjournals.org Mathematical Modeling and Analysis of Finite Queueing

More information

WE consider the dynamic pickup and delivery problem

WE consider the dynamic pickup and delivery problem IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 53, NO. 6, JULY 2008 1419 A Dynamic Pickup and Delivery Problem in Mobile Networks Under Information Constraints Holly A. Waisanen, Devavrat Shah, and Munther

More information

Comparing Roundabout Capacity Analysis Methods, or How the Selection of Analysis Method Can Affect the Design

Comparing Roundabout Capacity Analysis Methods, or How the Selection of Analysis Method Can Affect the Design Comparing Roundabout Capacity Analysis Methods, or How the Selection of Analysis Method Can Affect the Design ABSTRACT Several analysis methods have been proposed to analyze the vehicular capacity of roundabouts.

More information

COMPARATIVE EVALUATION OF SIMULATION SOFTWARE FOR TRAFFIC OPERATIONS

COMPARATIVE EVALUATION OF SIMULATION SOFTWARE FOR TRAFFIC OPERATIONS NDOT Research Report Report No: RDT02-032 COMPARATIVE EVALUATION OF SIMULATION SOFTWARE FOR TRAFFIC OPERATIONS December 2002 Prepared by Research Division Nevada Department of Transportation 1263 South

More information

APPLICABILITY OF INFORMATION TECHNOLOGIES IN PARKING AREA CAPACITY OPTIMIZATION

APPLICABILITY OF INFORMATION TECHNOLOGIES IN PARKING AREA CAPACITY OPTIMIZATION APPLICABILITY OF INFORMATION TECHNOLOGIES IN PARKING AREA CAPACITY OPTIMIZATION 43 APPLICABILITY OF INFORMATION TECHNOLOGIES IN PARKING AREA CAPACITY OPTIMIZATION Maršanić Robert, Phd Rijeka Promet d.d.

More information

Traffic Control Concepts for Urban and Suburban Streets

Traffic Control Concepts for Urban and Suburban Streets Traffic Control Concepts for Urban and Suburban Streets Course No: C07-004 Credit: 7 PDH Gilbert Gedeon, P.E. Continuing Education and Development, Inc. 9 Greyridge Farm Court Stony Point, NY 10980 P:

More information

Project: Simulation of parking lot in Saint-Petersburg Airport

Project: Simulation of parking lot in Saint-Petersburg Airport Project: Simulation of parking lot in Saint-Petersburg Airport worked by: Khabirova Maja Course: 4IT496 SImulation of Systems VŠE, FIS-KI 2012 1. Problem definition 1.1 Introduction Anyone who has ever

More information

Analysis Of M/M/1 Queueing Model With Applications To Waiting Time Of Customers In Banks.

Analysis Of M/M/1 Queueing Model With Applications To Waiting Time Of Customers In Banks. P a g e 28 Vol. 10 Issue 13 (Ver. 1.0) October 2010 Analysis Of M/M/1 Queueing Model With Applications To Waiting Time Of Customers In Banks. Famule, Festus Daisi GJCST Classification (FOR) D.4.8, E.1

More information

Simulation-Based Trucks Configuration for Twin 40 Feet Quay Cranes in Container Terminals

Simulation-Based Trucks Configuration for Twin 40 Feet Quay Cranes in Container Terminals Simulation-Based Trucks Configuration for Twin 40 Feet Quay Cranes in Container Terminals Peng Yun, Wang Wenyuan, Zhang Qi, Chen Modi, and Zhang Ran Abstract Twin 40 feet quay cranes are used to improve

More information

Use the following headings

Use the following headings Q 1 Furgon Van Hire rents out trucks and vans. One service they offer is a sameday rental deal under which account customers can call in the morning to hire a van for the day. Five vehicles are available

More information

Doubling throughput in urban roads by platooning

Doubling throughput in urban roads by platooning Doubling throughput in urban roads by platooning Jennie Lioris Ramtin Pedarsani Fatma Yildiz Tascikaraoglu Pravin Varaiya Ecole des Ponts ParisTech, ENPC, France, (e-mail: jennie.lioris@cermics.enpc.fr)

More information

The Logic of Flow: Some Indispensable Concepts

The Logic of Flow: Some Indispensable Concepts The Logic of Flow: Some Indispensable Concepts FLOWCON 014 San Francisco, CA September 3, 014 No part of this presentation may be reproduced without the written permission of the author. Donald G. Reinertsen

More information

Simulation of Lean Principles Impact in a Multi-Product Supply Chain

Simulation of Lean Principles Impact in a Multi-Product Supply Chain Simulation of Lean Principles Impact in a Multi-Product Supply Chain M. Rossini, A. Portioli Studacher Abstract The market competition is moving from the single firm to the whole supply chain because of

More information

Unidirectional Simulation Objectives

Unidirectional Simulation Objectives Performance Evaluation of Two Conceptual Designs for Rail Service to Transbay Terminal Bi-Directional Unidirectional Bi-Directional R. Shiloh AREMA CONFERENCE Tuesday, September 12, Unidirectional Simulation

More information

Proceedings of the 2012 Winter Simulation Conference C. Laroque, J. Himmelspach, R. Pasupathy, O. Rose, and A.M. Uhrmacher, eds

Proceedings of the 2012 Winter Simulation Conference C. Laroque, J. Himmelspach, R. Pasupathy, O. Rose, and A.M. Uhrmacher, eds Proceedings of the 0 Winter Simulation Conference C. Laroque, J. Himmelspach, R. Pasupathy, O. Rose, and A.M. Uhrmacher, eds OPTIMAL BATCH PROCESS ADMISSION CONTROL IN TANDEM QUEUEING SYSTEMS WITH QUEUE

More information

OPTIMAL ADAPTIVE SIGNAL CONTROL FOR DIAMOND INTERCHANGES USING DYNAMIC PROGRAMMING

OPTIMAL ADAPTIVE SIGNAL CONTROL FOR DIAMOND INTERCHANGES USING DYNAMIC PROGRAMMING The Pennsylvania State University The Graduate School College of Engineering OPTIMAL ADAPTIVE SIGNAL CONTROL FOR DIAMOND INTERCHANGES USING DYNAMIC PROGRAMMING A Thesis in Civil Engineering by Fang Fang

More information

MITSIMLab: Enhancements and Applications for Urban Networks

MITSIMLab: Enhancements and Applications for Urban Networks Topic Area: C4 Paper Number: 3453 Authors: Moshe Ben-Akiva Margaret Cortes Angus Davol Haris Koutsopoulos Tomer Toledo Title: MITSIMLab: Enhancements and Applications for Urban Networks Abstract: Urban

More information

Effective Business Management in Uncertain Business Environment Using Stochastic Queuing System with Encouraged Arrivals and Impatient Customers

Effective Business Management in Uncertain Business Environment Using Stochastic Queuing System with Encouraged Arrivals and Impatient Customers Proceedings of International Conference on Strategies in Volatile and Uncertain Environment for Emerging Markets July 14-15, 2017 Indian Institute of Technology Delhi, New Delhi pp.479-488 Effective Business

More information

The Calibration And Verification Of Simulation Models For Toll Plazas

The Calibration And Verification Of Simulation Models For Toll Plazas University of Central Florida Electronic Theses and Dissertations Masters Thesis (Open Access) The Calibration And Verification Of Simulation Models For Toll Plazas 2008 Christopher Russo University of

More information

Transportation Modeling Tools. Rainer Dronzek November 3, 2006

Transportation Modeling Tools. Rainer Dronzek November 3, 2006 Transportation Modeling Tools Rainer Dronzek November 3, 2006 Presenter Info BSEE, Bradley University Institute of Industrial Engineers simulation Ask the Expert Simulation Solutions Conference chair and

More information

Testing schedule performance and reliability for train stations

Testing schedule performance and reliability for train stations Journal of the Operational Research Society (2000) 51, 666±682 #2000 Operational Research Society Ltd. All rights reserved. 0160-5682/00 $15.00 www.stockton-press.co.uk/jors Testing schedule performance

More information

EPOCH TASK SCHEDULING IN DISTRIBUTED SERVER SYSTEMS

EPOCH TASK SCHEDULING IN DISTRIBUTED SERVER SYSTEMS EPOCH TASK SCHEDULING IN DISTRIBUTED SERVER SYSTEMS Helen D. Karatza Department of Informatics Aristotle University of Thessaloniki 5424 Thessaloniki, Greece Email: karatza@csd.auth.gr KEYWORDS Simulation,

More information

Cost Analysis for Number of Servers in a Bank using Simulation Method Satish Verma 1, Dr. Sridhar. K 2

Cost Analysis for Number of Servers in a Bank using Simulation Method Satish Verma 1, Dr. Sridhar. K 2 Cost Analsis for Number of Servers in a Bank using Simulation Method Satish Verma 1, Dr. Sridhar. K 2 1 (Mechanical Department, C.S.I.T Durg, C.S.V.T.U Bhilai, India) 2 (Mechanical Department, C.S.I.T

More information

Chapter 4 Construction Effects and Mitigation

Chapter 4 Construction Effects and Mitigation Chapter 4 Construction Effects and Mitigation This chapter discusses the direct and indirect s of project related construction on the elements of the built and natural environments. Direct s are s caused

More information

EVALUATION OF INCIDENT MANAGEMENT BENEFITS USING TRAFFIC SIMULATION

EVALUATION OF INCIDENT MANAGEMENT BENEFITS USING TRAFFIC SIMULATION EVALUATION OF INCIDENT MANAGEMENT BENEFITS USING TRAFFIC SIMULATION Hussein Dia and Nick Cottman Department of Civil Engineering The University of Queensland Brisbane, Australia 4072 E-mail: H.Dia@uq.edu.au

More information

AN M/M/1/N FEEDBACK QUEUING SYSTEM WITH REVERSE BALKING

AN M/M/1/N FEEDBACK QUEUING SYSTEM WITH REVERSE BALKING Journal of Reliability and Statistical Studies ISSN (Print): 0974-8024, (Online):2229-5666 Vol. 8, Issue 1 (2015): 31-38 AN M/M/1/N FEEDBACK QUEUING SYSTEM WITH REVERSE BALKING 1 Rakesh Kumar, 2 Bhupender

More information

- POSresult: Once your POS receives the payment transaction response, use this to advise us of the results.

- POSresult: Once your POS receives the payment transaction response, use this to advise us of the results. To: Re: POS Providers Xpress-pay Mobile direct integration Thank you for your interest in Xpress-pay Mobile direct integration. You will be pleased to know the process is actually quite simple, requiring

More information

Global Journal of Engineering Science and Research Management

Global Journal of Engineering Science and Research Management WAITING LINE PROBLEM FOR A NEW SERVICE ENTERPRISE AND ITS FRAMEWORK Deepak Hajoary * * Department of management studies, Bodoland University, India. KEYWORDS: Waiting line,queue management,service. ABSTRACT

More information