SIMULATION MODELS. Machine 1

Size: px
Start display at page:

Download "SIMULATION MODELS. Machine 1"

Transcription

1 Supplement B Part 2 Designing and Managing Processes SIMULATION MODELS PROBLEMS 1. Precision Manufacturing Company. The following Table A simulates the arrival of 10 batches over a 60-minute horizon. With a different choice of random numbers, the results will vary. Random numbers from the first row of the random number table in Appendix 2 were used, 2-digits at a time, with the probability distribution to simulate the number of units in each batch. Random numbers from the second and third rows were similarly used to establish setup times and processing times, respectively. Resulting assignments for setup and processing times for each machine are also shown. Table B determines the work requirements of each machine, based on the job arrivals and times selected in Table A. The totals are very similar, with NC machine 1 being slightly more productive. The totals of 2,646 seconds and 2,680 seconds are considerably less than the capacity of 3,600 seconds for the 60-minute horizon. Capacity is more than sufficient for either machine. Table A Job arrivals, setup times, and processing times Setup Times (min) Processing Times (sec) Batch Number of Units Machine 1 Machine 2 Machine 1 Machine Table B Work Requirements Machine 1 Requirements (sec) Machine 2 Requirements (sec) Batch Setup Processing Total Setup Processing Total

2 Simulation SUPPLEMENT B Totals The small sample size of just 10 batches may cause us some estimation errors. Another approach is to work with the expected values of the five probability distributions. They can be computed as: Number of jobs = 10.3 units every 6 minutes Machine 1 setup = 3.0 minutes/batch Machine 2 setup = 3.4 minutes/batch Machine 1 processing = 7.15 seconds/job Machine 2 processing = 4.70 seconds/job Using these expected values to estimate the work requirements for each machine for a 60-minute horizon, we get Machine 1: 10[3.0 min(60 sec/min) units(7.15 sec/job)] = 2,536 seconds Machine 2: 10[3.4 min(60 sec/min) units(4.70 sec/job)] = 2,524 seconds These numbers suggest that a much longer simulation would show that machine 2 is the slightly better choice. Its shorter processing times more than compensate for the longer setup times, given the sizes of batches that arrive. Smaller batches favor machine Because either machine has plenty of capacity, and continuing to assume equal operation and maintenance costs, we should purchase the lower price machine. In other words, the decision should not favor the machine with higher capacity. Capacity in excess of that needed has no value. Greater capacity merely results in more idle time. 3. Comet Dry Cleaners a. NGNC = Number of garments needing cleaning MNGD = Maximum number of garments that could be dry cleaned Queue at Start of Day NGNC MNGD Actual Garments Cleaned Queue at End of Day Day New Garments

3 118 PART 2 Managing Processes Total 160 The average daily number of garments held overnight is 160/15 = garments. b. The expansion reduces the number of garments held overnight from 20 to (calculated as 160/15), saving $ [$25(9.33)] per day. The saving exceeds the $200 expansion cost, making expansion a good idea. 4. Omega University a. Preliminary estimates or utilization and proportion of unanswered calls: arrival rate: 90 calls per hour 60% forwarded to office = 54 calls/hour answering service rate: 60 minutes/hour/1 minute/call = 60 calls per hour estimated utilization = 54/60 = 90% Of 90 calls, we would expect 36 (or 40% 90) to be answered by the professors. 54 would be forwarded, and because the clerk has some idle time, we might expect the lion s share of those calls to be answered as well. Surely only a few calls would go unanswered. b. Simulation. See table showing the simulation. The first three random numbers in the first row of the table are from the first two digits in the second column of Appendix 2, moving from top to bottom. The simulation shows that during the 60 minutes, 82 calls were placed. Of those, 68 were answered. Even though this simulation is for an hour when fewer than the expected average of 90 calls were received, 14 calls or 14/82 = 17% went unanswered by anyone. c. Professors answered 34 calls (41%) and 48 (59%) were forwarded to the department office. Of the 48 forwarded calls, only 34 calls (or 71%) were answered by the assistant. The assistant was idle 26 of 60 minutes. Utilization was only 34/60 = 57%, not the estimated 90%. The simulation shows that even though the assistant has lots of idle time, calls were being missed because they do not arrive at a steady pace. 5. Voice mailboxes. The office assistant is currently spending 57% of his time answering the telephone. See table showing the simulation. Assuming that time saved could be productively used elsewhere, Labor savings = $3,000/month 57% 60% = $1026/month. Voice mail cost = $25/month 32 telephones = $800/month. Yes, order voic system. 6. Brakes-Only Service Shop a. # of Brake Jobs Relative Frequency Random Numbers

4 Simulation SUPPLEMENT B b Demand c. On 3 days, overtime will be necessary. On 5 days, mechanics will be underutilized. d. 3/10 = 30% of the days. 7. E-Z Mart a. Random Number Sales b. Trial R.N. Demand Shortage Excess Total 10 2 c. Average shortage = 10/10 = 1 jug Average excess = 2/10 = 0.2 jugs 8. BestCar with price variability. Now there are two uncontrollable variables: weekly demand and sales price. The spreadsheet shown below results in an average of 2.73 cars sold per week (compare with the 2.88 car average in Figure B.2 when only 50 weeks were simulated). The average revenue is $57,516 per week.

5 120 PART 2 Managing Processes 9. BestCar sales activity. The spreadsheet follows, showing the average sales at 4.75 cars per week and the average weekly revenue at $95,000. The frequency table in the lower left corner shows a close correspondence with the original frequency distribution with some small differences. For example, the simulation resulted in sales of 5 cars per week 29 percent of the time, rather than 30 percent.

6 Simulation SUPPLEMENT B A machine center d. Two random numbers could be used for each client one for demand and one for processing time. Once this has been done for all four clients, it is possible to compute the value of R for the year just simulated. The result is one observation for constructing a frequency chart or probability distribution. b. For the first year simulated: Event 88 A s demand is 4200 units (in range) 24 A s processing time is 10 hours/unit (in 0 34 range) 33 B s demand is 800 units (in range) 29 B s processing time is 90 hours/unit (in range) 52 C s demand is 3000 units (in range) 84 C s processing time is 15 hours/unit (in range) 37 D s demand is 600 units (in 0 39 range) 92 D s processing time is 80 hours/unit (in range) Then for the first year: R = 4200(10) + 800(90) (15) + 600(80) = 207,000 hours.

7 122 PART 2 Managing Processes Table for Problem 4b: Simulation of Voice Mail System No. of Calls Made 1st Call Forward? (Yes/No) 2nd Call Forward? (Yes/No) 3rd Call Forward? (Yes/No) 4th Call Forward? (Yes/No) No. of Calls Not Answered Time 10: Yes 54 Yes 1 10: Yes 32 Yes 1 10: Yes 07 Yes 1 10: Yes 21 Yes 28 Yes 79 No 2 10: No 0 10: Yes 0 10: Yes 27 Yes 1 10: No 06 Yes 0 10: : : No 0 10: Yes 0 10: No 61 No 0 10: Yes 0 10: Yes 54 Yes 30 Yes 2 10: Yes 0 10: No 0 10: No 25 Yes 0 10: : No 0 10: Yes 23 Yes 11 Yes 2 10: : No 21 Yes 76 No 0 10: Yes 0 10: No 0 10: : Yes 0 10: No 45 Yes 0 10: No 19 Yes 0 10: : No 39 Yes 0 10: : Yes 05 Yes 1 10: Yes 0 10: : No 60 No 0 10: No 99 No 0 10: No 0 10: Yes 25 Yes 1 10: Yes 0 10: No 97 No 63 No 0 10: No 89 No 0 10: Yes 0 10: : : Yes 52 Yes 1 10: : : Yes 0 10: No 0 10: No 21 Yes 0 10: No 0 10: Yes 0 10: Yes 0 10: Yes 0 Asst Idle

8 Simulation SUPPLEMENT B : No 0 10: No 45 Yes 0 10: Yes 77 No 89 No 0 10: No 08 Yes 21 Yes 61 No 1 10: Yes 0

Simulation Supplement B

Simulation Supplement B Simulation Supplement B Simulation Simulation: The act of reproducing the behavior of a system using a model that describes the processes of the system. Time Compression: The feature of simulations that

More information

MATH 214 (NOTES) Math 214 Al Nosedal. Department of Mathematics Indiana University of Pennsylvania. MATH 214 (NOTES) p. 1/11

MATH 214 (NOTES) Math 214 Al Nosedal. Department of Mathematics Indiana University of Pennsylvania. MATH 214 (NOTES) p. 1/11 MATH 214 (NOTES) Math 214 Al Nosedal Department of Mathematics Indiana University of Pennsylvania MATH 214 (NOTES) p. 1/11 CHAPTER 6 CONTINUOUS PROBABILITY DISTRIBUTIONS MATH 214 (NOTES) p. 2/11 Simple

More information

AP Statistics Sec 5.1: An Exercise in Sampling: The Corn Field

AP Statistics Sec 5.1: An Exercise in Sampling: The Corn Field AP Statistics Sec.: An Exercise in Sampling: The Corn Field Name: A farmer has planted a new field for corn. It is a rectangular plot of land with a river that runs along the right side of the field. The

More information

GROWING VOICE COMPETITION SPOTLIGHTS URGENCY OF IP TRANSITION By Patrick Brogan, Vice President of Industry Analysis

GROWING VOICE COMPETITION SPOTLIGHTS URGENCY OF IP TRANSITION By Patrick Brogan, Vice President of Industry Analysis RESEARCH BRIEF NOVEMBER 22, 2013 GROWING VOICE COMPETITION SPOTLIGHTS URGENCY OF IP TRANSITION By Patrick Brogan, Vice President of Industry Analysis An updated USTelecom analysis of residential voice

More information

Processes for the Intersection

Processes for the Intersection 7 Timing Processes for the Intersection In Chapter 6, you studied the operation of one intersection approach and determined the value of the vehicle extension time that would extend the green for as long

More information

MATH 214 (NOTES) Math 214 Al Nosedal. Department of Mathematics Indiana University of Pennsylvania. MATH 214 (NOTES) p. 1/3

MATH 214 (NOTES) Math 214 Al Nosedal. Department of Mathematics Indiana University of Pennsylvania. MATH 214 (NOTES) p. 1/3 MATH 214 (NOTES) Math 214 Al Nosedal Department of Mathematics Indiana University of Pennsylvania MATH 214 (NOTES) p. 1/3 CHAPTER 1 DATA AND STATISTICS MATH 214 (NOTES) p. 2/3 Definitions. Statistics is

More information

Sampling Worksheet: Rolling Down the River

Sampling Worksheet: Rolling Down the River Sampling Worksheet: Rolling Down the River Name: Part I A farmer has just cleared a new field for corn. It is a unique plot of land in that a river runs along one side. The corn looks good in some areas

More information

expressed on operational issues are those of the authors and not necessarily those of the U.S. Census Bureau.

expressed on operational issues are those of the authors and not necessarily those of the U.S. Census Bureau. Quality Control of Data Entry for the American Community Survey and the Impact of Errors on Data Quality 1 Andre Williams, Dale Garrett and Rita Petroni Andre Williams, U.S. Bureau of the Census, Washington,

More information

The Proportion of NUC Pre-56 Titles Represented in OCLC WorldCat

The Proportion of NUC Pre-56 Titles Represented in OCLC WorldCat The Proportion of NUC Pre-56 Titles Represented in OCLC WorldCat Jeffrey Beall and Karen Kafadar This article describes a research project that included a designed experiment and statistical analysis to

More information

Distribution of Data and the Empirical Rule

Distribution of Data and the Empirical Rule 302360_File_B.qxd 7/7/03 7:18 AM Page 1 Distribution of Data and the Empirical Rule 1 Distribution of Data and the Empirical Rule Stem-and-Leaf Diagrams Frequency Distributions and Histograms Normal Distributions

More information

AP Statistics Sampling. Sampling Exercise (adapted from a document from the NCSSM Leadership Institute, July 2000).

AP Statistics Sampling. Sampling Exercise (adapted from a document from the NCSSM Leadership Institute, July 2000). AP Statistics Sampling Name Sampling Exercise (adapted from a document from the NCSSM Leadership Institute, July 2000). Problem: A farmer has just cleared a field for corn that can be divided into 100

More information

SWITCHED INFINITY: SUPPORTING AN INFINITE HD LINEUP WITH SDV

SWITCHED INFINITY: SUPPORTING AN INFINITE HD LINEUP WITH SDV SWITCHED INFINITY: SUPPORTING AN INFINITE HD LINEUP WITH SDV First Presented at the SCTE Cable-Tec Expo 2010 John Civiletto, Executive Director of Platform Architecture. Cox Communications Ludovic Milin,

More information

University of Tennessee at Chattanooga Steady State and Step Response for Filter Wash Station ENGR 3280L By. Jonathan Cain. (Emily Stark, Jared Baker)

University of Tennessee at Chattanooga Steady State and Step Response for Filter Wash Station ENGR 3280L By. Jonathan Cain. (Emily Stark, Jared Baker) University of Tennessee at Chattanooga Steady State and Step Response for Filter Wash Station ENGR 3280L By (Emily Stark, Jared Baker) i Table of Contents Introduction 1 Background and Theory.3-5 Procedure...6-7

More information

Algebra I Module 2 Lessons 1 19

Algebra I Module 2 Lessons 1 19 Eureka Math 2015 2016 Algebra I Module 2 Lessons 1 19 Eureka Math, Published by the non-profit Great Minds. Copyright 2015 Great Minds. No part of this work may be reproduced, distributed, modified, sold,

More information

Alternative: purchase a laptop 3) The design of the case does not allow for maximum airflow. Alternative: purchase a cooling pad

Alternative: purchase a laptop 3) The design of the case does not allow for maximum airflow. Alternative: purchase a cooling pad 1) Television: A television can be used in a variety of contexts in a home, a restaurant or bar, an office, a store, and many more. Although this is used in various contexts, the design is fairly similar

More information

Canada s Media Landscape Prepared For IAB. Total Canada Executive Summary Prepared by PHD Canada, Rob Young December

Canada s Media Landscape Prepared For IAB. Total Canada Executive Summary Prepared by PHD Canada, Rob Young December Canada s Media Landscape Prepared For IAB Total Canada Executive Summary Prepared by PHD Canada, Rob Young December 3 2015 WHAT S CMUST? Since its inception in 2004, IAB Canada s Canadian Media Usage Trends

More information

Appendix Y: Queuing Models and Applications

Appendix Y: Queuing Models and Applications Appendix Y: Queuing Models and Applications Methods A queuing problem can be solved by analytical formulas or simulation methods. Analytic models are used for approximations and simple model. Simulation

More information

SECONDARY STORAGE DEVICES: MAGNETIC TAPES AND CD-ROM

SECONDARY STORAGE DEVICES: MAGNETIC TAPES AND CD-ROM SECONDARY STORAGE DEVICES: MAGNETIC TAPES AND CD-ROM Contents of today s lecture: Magnetic Tapes Characteristics of magnetic tapes Data organization on 9-track tapes Estimating tape length requirements

More information

2.810 Manufacturing Processes and Systems Quiz #2. November 15, minutes

2.810 Manufacturing Processes and Systems Quiz #2. November 15, minutes 2.810 Manufacturing Processes and Systems Quiz #2 November 15, 2017 90 minutes Open book, open notes, calculators, computers with internet off. Please present your work clearly and state all assumptions.

More information

Smart Coding Technology

Smart Coding Technology WHITE PAPER Smart Coding Technology Panasonic Video surveillance systems Vol.2 Table of contents 1. Introduction... 1 2. Panasonic s Smart Coding Technology... 2 3. Technology to assign data only to subjects

More information

Estimating. Proportions with Confidence. Chapter 10. Copyright 2006 Brooks/Cole, a division of Thomson Learning, Inc.

Estimating. Proportions with Confidence. Chapter 10. Copyright 2006 Brooks/Cole, a division of Thomson Learning, Inc. Estimating Chapter 10 Proportions with Confidence Copyright 2006 Brooks/Cole, a division of Thomson Learning, Inc. Principal Idea: Survey 150 randomly selected students and 41% think marijuana should be

More information

FIM INTERNATIONAL SURVEY ON ORCHESTRAS

FIM INTERNATIONAL SURVEY ON ORCHESTRAS 1st FIM INTERNATIONAL ORCHESTRA CONFERENCE Berlin April 7-9, 2008 FIM INTERNATIONAL SURVEY ON ORCHESTRAS Report By Kate McBain watna.communications Musicians of today, orchestras of tomorrow! A. Orchestras

More information

Before the Federal Communications Commission Washington, D.C ) ) ) ) ) ) ) ) ) REPORT ON CABLE INDUSTRY PRICES

Before the Federal Communications Commission Washington, D.C ) ) ) ) ) ) ) ) ) REPORT ON CABLE INDUSTRY PRICES Before the Federal Communications Commission Washington, D.C. 20554 In the Matter of Implementation of Section 3 of the Cable Television Consumer Protection and Competition Act of 1992 Statistical Report

More information

French Canada s Media Landscape Prepared For IAB. French Canada Executive Summary Prepared by PHD Canada, Rob Young January

French Canada s Media Landscape Prepared For IAB. French Canada Executive Summary Prepared by PHD Canada, Rob Young January French Canada s Media Landscape Prepared For IAB French Canada Executive Summary Prepared by PHD Canada, Rob Young January 21 2015 WHAT S CMUST? Since its inception in 2004, IAB Canada s Canadian Media

More information

The DataView PowerPad III Control Panel

The DataView PowerPad III Control Panel Setting Up a Recording Session in the DataView PowerPad III Control Panel By Mike Van Dunk The DataView PowerPad III Control Panel is designed for working with AEMC PowerPad III Power Quality Analyzers,

More information

Moving on from MSTAT. March The University of Reading Statistical Services Centre Biometrics Advisory and Support Service to DFID

Moving on from MSTAT. March The University of Reading Statistical Services Centre Biometrics Advisory and Support Service to DFID Moving on from MSTAT March 2000 The University of Reading Statistical Services Centre Biometrics Advisory and Support Service to DFID Contents 1. Introduction 3 2. Moving from MSTAT to Genstat 4 2.1 Analysis

More information

Fill out the following table: Solid #1 Solid #2 Volume. Number of Peanuts. Ratio

Fill out the following table: Solid #1 Solid #2 Volume. Number of Peanuts. Ratio Sec 1.1 1.4 -Analyzing Numerical Data Test Practice Problems: 1. The jar s inner dimensions of the jar are approximately a cylinder with a height of 17 cm and a radius of 3.8 cm. The jar is completely

More information

Measuring Variability for Skewed Distributions

Measuring Variability for Skewed Distributions Measuring Variability for Skewed Distributions Skewed Data and its Measure of Center Consider the following scenario. A television game show, Fact or Fiction, was canceled after nine shows. Many people

More information

Warren County Port Authority

Warren County Port Authority Warren County Port Authority Arts & Culture Center Feasibility Study Phase 3 Findings September 8, 2008 Contents/Agenda Review Phase 2 Public Survey Model Case Studies Phase 3 Building Program Capital

More information

Processor time 9 Used memory 9. Lost video frames 11 Storage buffer 11 Received rate 11

Processor time 9 Used memory 9. Lost video frames 11 Storage buffer 11 Received rate 11 Processor time 9 Used memory 9 Lost video frames 11 Storage buffer 11 Received rate 11 2 3 After you ve completed the installation and configuration, run AXIS Installation Verifier from the main menu icon

More information

Community Choirs in Australia

Community Choirs in Australia Introduction The Music in Communities Network s research agenda includes filling some statistical gaps in our understanding of the community music sector. We know that there are an enormous number of community-based

More information

Margin of Error. p(1 p) n 0.2(0.8) 900. Since about 95% of the data will fall within almost two standard deviations, we will use the formula

Margin of Error. p(1 p) n 0.2(0.8) 900. Since about 95% of the data will fall within almost two standard deviations, we will use the formula Name Margin of Error A survey of a sample population gathers information from a few people and then the results are used to reflect the opinions of a larger population. The reason that researchers and

More information

Good Faith 14 THE FEED

Good Faith 14 THE FEED in Good Faith When Leslie Orams decided to buck traditional methods of producing manufactured sand and try a roller bearing cone crusher in place of a vertical shaft impactor (VSI), he knew how important

More information

TMR Delivery and Variability on the Farm

TMR Delivery and Variability on the Farm TMR Delivery and Variability on the Farm Dennis R. Buckmaster Penn State Agricultural & Biological Engineering Workshop Outline Presentation (25 min) TMR acronyms Uniformity among batches Uniformity within

More information

7X52 GPS SOLAR. Basic Manual. English 31P 91P 1P 61P

7X52 GPS SOLAR. Basic Manual. English 31P 91P 1P 61P 7X52 GPS SOLAR Basic Manual 1P 61P 1P 91P 1 READ FIRST CONTENTS 1.READ FIRST Features 2 The following functions are included 2.BEFORE USE Names of the parts 4 Indicator hand display and reception result

More information

MEMORANDUM. TV penetration and usage in the Massachusetts market

MEMORANDUM. TV penetration and usage in the Massachusetts market MEMORANDUM To: MassSave Appliance Rebate Program Administrators (PAs) and Energy Efficiency Advisory Council (EEAC) Consultants From: The Residential Evaluation Team Subject: Program Assessment Tube TV

More information

Copyright is owned by the Author of the thesis. Permission is given for a copy to be downloaded by an individual for the purpose of research and

Copyright is owned by the Author of the thesis. Permission is given for a copy to be downloaded by an individual for the purpose of research and Copyright is owned by the Author of the thesis. Permission is given for a copy to be downloaded by an individual for the purpose of research and private study only. The thesis may not be reproduced elsewhere

More information

Application Note 11 - Totalization

Application Note 11 - Totalization Application Note 11 - Totalization Using the TrendView Recorders for Totalization The totalization function is normally associated with flow monitoring applications, where the input to the recorder would

More information

GBA 327: Module 7D AVP Transcript Title: The Monte Carlo Simulation Using Risk Solver. Title Slide

GBA 327: Module 7D AVP Transcript Title: The Monte Carlo Simulation Using Risk Solver. Title Slide GBA 327: Module 7D AVP Transcript Title: The Monte Carlo Simulation Using Risk Solver Title Slide Narrator: Although the use of a data table illustrates how we can apply Monte Carlo simulation to a decision

More information

OPERATIONS SEQUENCING IN A CABLE ASSEMBLY SHOP

OPERATIONS SEQUENCING IN A CABLE ASSEMBLY SHOP OPERATIONS SEQUENCING IN A CABLE ASSEMBLY SHOP Ahmet N. Ceranoglu* 1, Ekrem Duman*, M. Hamdi Ozcelik**, * Dogus University, Dept. of Ind. Eng., Acibadem, Istanbul, Turkey ** Yapi Kredi Bankasi, Dept. of

More information

Review of ACE Model for High Efficiency TVs Initiative

Review of ACE Model for High Efficiency TVs Initiative May 2, 2013 REPORT #E13-256 Review of ACE Model for High Efficiency TVs Initiative Prepared by: Evergreen Economics 1020 SW Taylor Street, #680 Portland, OR 97205 Northwest Energy Efficiency Alliance PHONE

More information

CARLETON UNIVERSITY. Facts without theory is trivia. Theory without facts is bull 2607-LRB

CARLETON UNIVERSITY. Facts without theory is trivia. Theory without facts is bull 2607-LRB CARLETON UNIVERSITY Deparment of Electronics ELEC 267 Switching Circuits February 7, 25 Facts without theory is trivia. Theory without facts is bull Anon Laboratory 3.: The T-Bird Tail-Light Control Using

More information

Positive trajectory for Trudeau continues hits a twelve month high on preferred PM and qualities of good political leader in Nanos tracking

Positive trajectory for Trudeau continues hits a twelve month high on preferred PM and qualities of good political leader in Nanos tracking Positive trajectory for Trudeau continues hits a twelve month high on preferred PM and qualities of good political leader in Nanos tracking Nanos Weekly Tracking ending August 12 th, 2016 (released August

More information

A Comparison of Dry Versus Gel Filled Optical Cables

A Comparison of Dry Versus Gel Filled Optical Cables Application Notes A Comparison of Dry Versus Gel Filled Optical Cables Author John Peters Issued December 2012 Abstract The dry cable design compares favorably with a wet design that uses a flooding compound

More information

ThinkTV FACT PACK NEW ZEALAND JAN TO DEC 2017

ThinkTV FACT PACK NEW ZEALAND JAN TO DEC 2017 ThinkTV FACT PACK NEW ZEALAND JAN TO DEC 2017 TV Has Changed NEW ZEALAND Today s TV is a sensory experience enjoyed by over 3 million viewers every week. Powered by new technologies to make TV available

More information

SALES DATA REPORT

SALES DATA REPORT SALES DATA REPORT 2013-16 EXECUTIVE SUMMARY AND HEADLINES PUBLISHED NOVEMBER 2017 ANALYSIS AND COMMENTARY BY Contents INTRODUCTION 3 Introduction by Fiona Allan 4 Introduction by David Brownlee 5 HEADLINES

More information

Sunday Maximum All TV News Big Four Average Saturday

Sunday Maximum All TV News Big Four Average Saturday RTNDA/Ball State University Survey 2004 Additional Data: Newsroom Staffing and Amount of News Television Hours of Local TV News Per Day TV News Budgets: Up, Down or Same? TV News Profitability by Size

More information

sr c0 c3 sr c) Throttled outputs Figure F.1 Bridge design models

sr c0 c3 sr c) Throttled outputs Figure F.1 Bridge design models WHITE PAPER CONTRIBUTION TO 0 0 0 0 0 Annex F (informative) Bursting and bunching considerations F. Topology scenarios F.. Bridge design models The sensitivity of bridges to bursting and bunching is highly

More information

SIMULATION MODELING FOR QUALITY AND PRODUCTIVITY IN STEEL CORD MANUFACTURING

SIMULATION MODELING FOR QUALITY AND PRODUCTIVITY IN STEEL CORD MANUFACTURING Turkseven, C.H., and Ertek, G. (2003). "Simulation modeling for quality and productivity in steel cord manufacturing," in Chick, S., Sánchez, P., Ferrin,D., and Morrice, D.J. (eds.). Proceedings of 2003

More information

CR7000. CRT Analyzer & Restorer. Easily Test And Restore CRTs With The Most Complete Tests Available For Added Profit And Security.

CR7000. CRT Analyzer & Restorer. Easily Test And Restore CRTs With The Most Complete Tests Available For Added Profit And Security. CR7000 CRT Analyzer & Restorer Easily Test And Restore CRTs With The Most Complete Tests Available For Added Profit And Security. S1 New Demands From Higher Performance CRTs Require New Analyzing Techniques

More information

BOOKLET. Preparing Papers for 15th REAAA Conference in Bali Guidelines for Authors

BOOKLET. Preparing Papers for 15th REAAA Conference in Bali Guidelines for Authors BOOKLET Preparing Papers for 15th REAAA Conference in Bali 2017 Guidelines for Authors ABOUT THIS GUIDE To submit a paper to the 15th REAAA Conference for peer review and presentation at the 15th REAAA

More information

TULSA PERFORMING ARTS CENTER RENTAL RATES, CHARGES AND FEES (Effective January 1, 2014) FACILITY TYPE OF USE NON-PROFIT COMMERCIAL

TULSA PERFORMING ARTS CENTER RENTAL RATES, CHARGES AND FEES (Effective January 1, 2014) FACILITY TYPE OF USE NON-PROFIT COMMERCIAL FACILITY TYPE OF USE NON-PROFIT COMMERCIAL CHAPMAN Per Performance $1,400 3.5% of Gross Sales, MUSIC HALL (More than Orchestra Level) Minimum $3000 Per Performance Non-Performance (Move-In, $120 per Hour,

More information

REACHING THE UN-REACHABLE

REACHING THE UN-REACHABLE UNITED STATES REACHING THE UN-REACHABLE 5 MYTHS ABOUT THOSE WHO WATCH LITTLE TO NO TV SHIFT HAPPENS. IT S WELL DOCUMENTED. U.S. HOMES IN MILLIONS Cable Telco Satellite We Project MVPDs Will Lose About

More information

Objective: Write on the goal/objective sheet and give a before class rating. Determine the types of graphs appropriate for specific data.

Objective: Write on the goal/objective sheet and give a before class rating. Determine the types of graphs appropriate for specific data. Objective: Write on the goal/objective sheet and give a before class rating. Determine the types of graphs appropriate for specific data. Khan Academy test Tuesday Sept th. NO CALCULATORS allowed. Not

More information

Understanding the True Cost of Cable Cuts

Understanding the True Cost of Cable Cuts Understanding the True Cost of Cable Cuts This paper examines the various direct and indirect costs incurred by cable manufacturers and distributors when a length of Outside Plant cable is cut at the request

More information

SAVE: An Algorithm for Smoothed Adaptive Video over Explicit Rate Networks

SAVE: An Algorithm for Smoothed Adaptive Video over Explicit Rate Networks SAVE: An Algorithm for Smoothed Adaptive Video over Explicit Rate Networks N.G. Duffield, K. K. Ramakrishnan, Amy R. Reibman AT&T Labs Research Abstract Supporting compressed video efficiently on networks

More information

CHILD SUPPORT GUIDELINES CHART

CHILD SUPPORT GUIDELINES CHART CHILD SUPPORT GUIDELINES CHART Combined 650.00 74 75 75 76 77 78 700.00 119 120 121 123 124 125 750.00 164 166 167 169 171 173 800.00 190 211 213 216 218 220 850.00 202 257 259 262 265 268 900.00 213 302

More information

INDUSTRY BRIEF NO. 4: CHANGES IN AUTHORS FINANCIAL POSITION

INDUSTRY BRIEF NO. 4: CHANGES IN AUTHORS FINANCIAL POSITION DEPARTMENT OF ECONOMICS Faculty of Business and Economics Australian authors INDUSTRY BRIEF NO. 4: CHANGES IN AUTHORS FINANCIAL POSITION The Australian book industry: Authors, publishers and readers in

More information

A QUANTITATIVE STUDY OF CATALOG USE

A QUANTITATIVE STUDY OF CATALOG USE Ben-Ami Lipetz Head, Research Department Yale University Library New Haven, Connecticut A QUANTITATIVE STUDY OF CATALOG USE Among people who are concerned with the management of libraries, it is now almost

More information

Submit Organizational Chart : 17Admin177_SubmitOrganizationalChart_ pdf

Submit Organizational Chart : 17Admin177_SubmitOrganizationalChart_ pdf Report Submission - ID: 17Admin177 Author(s): Hannah Singleton Unit of Analysis ID Number: 145 Sector: Provost's Office Division : College of Visual & Performing Arts Unit for Assessment: Dennison Theatre

More information

Confidence Intervals for Radio Ratings Estimators

Confidence Intervals for Radio Ratings Estimators Social Statistics Section JSM 009 Confidence Intervals for Radio Ratings Estimators Richard Griffiths 1 1 Arbitron, Inc., 9705 Patuxent Woods Drive, Columbia, MD 1046 Abstract Arbitron s current method

More information

Ford AMS Test Bench Operating Instructions

Ford AMS Test Bench Operating Instructions THE FORD METER BOX COMPANY, INC. ISO 9001:2008 10002505 AMS Test Bench 09/2013 Ford AMS Test Bench Operating Instructions The Ford Meter Box Co., Inc. 775 Manchester Avenue, P.O. Box 443, Wabash, Indiana,

More information

NETFLIX MOVIE RATING ANALYSIS

NETFLIX MOVIE RATING ANALYSIS NETFLIX MOVIE RATING ANALYSIS Danny Dean EXECUTIVE SUMMARY Perhaps only a few us have wondered whether or not the number words in a movie s title could be linked to its success. You may question the relevance

More information

ISCEV SINGLE CHANNEL ERG PROTOCOL DESIGN

ISCEV SINGLE CHANNEL ERG PROTOCOL DESIGN ISCEV SINGLE CHANNEL ERG PROTOCOL DESIGN This spreadsheet has been created to help design a protocol before actually entering the parameters into the Espion software. It details all the protocol parameters

More information

A More-Product-Less-Process Approach to Cataloging Recordings

A More-Product-Less-Process Approach to Cataloging Recordings Bowling Green State University ScholarWorks@BGSU University Libraries Faculty Publications University Libraries 8-2016 A More-Product-Less-Process Approach to Cataloging Recordings Susannah Cleveland Bowling

More information

Quantify. The Subjective. PQM: A New Quantitative Tool for Evaluating Display Design Options

Quantify. The Subjective. PQM: A New Quantitative Tool for Evaluating Display Design Options PQM: A New Quantitative Tool for Evaluating Display Design Options Software, Electronics, and Mechanical Systems Laboratory 3M Optical Systems Division Jennifer F. Schumacher, John Van Derlofske, Brian

More information

Contract Cataloging: A Pilot Project for Outsourcing Slavic Books

Contract Cataloging: A Pilot Project for Outsourcing Slavic Books Cataloging and Classification Quarterly, 1995, V. 20, n. 3, p. 57-73. DOI: 10.1300/J104v20n03_05 ISSN: 0163-9374 (Print), 1544-4554 (Online) http://www.tandf.co.uk/journals/haworth-journals.asp http://www.tandfonline.com/toc/wccq20/current

More information

Pantomime SALES DATA REPORT

Pantomime SALES DATA REPORT SALES DATA REPORT 2013-16 Pantomime The numbers of performances and ticket sales for Pantomime rose in 2014 and 2015 before dipping back to levels similar to 2013 in 2016. Ticket sales have grown by 2%

More information

Results of the June 2000 NICMOS+NCS EMI Test

Results of the June 2000 NICMOS+NCS EMI Test Results of the June 2 NICMOS+NCS EMI Test S. T. Holfeltz & Torsten Böker September 28, 2 ABSTRACT We summarize the findings of the NICMOS+NCS EMI Tests conducted at Goddard Space Flight Center in June

More information

Choral Sight-Singing Practices: Revisiting a Web-Based Survey

Choral Sight-Singing Practices: Revisiting a Web-Based Survey Demorest (2004) International Journal of Research in Choral Singing 2(1). Sight-singing Practices 3 Choral Sight-Singing Practices: Revisiting a Web-Based Survey Steven M. Demorest School of Music, University

More information

Software Ver

Software Ver - 0 - Software Ver-3.02 CONTENTS 1. INTRODUCTION...- 2-2. MAIN PANEL...- 3-3. SETTING UP TIME AND DAY...- 4-4. CREATING AN IRRIGATION PROGRAM...- 6-4.1 IRRIGATION DAYS AND START TIMES WHEN... - 6-4.2 WATER

More information

Chapter 6. Normal Distributions

Chapter 6. Normal Distributions Chapter 6 Normal Distributions Understandable Statistics Ninth Edition By Brase and Brase Prepared by Yixun Shi Bloomsburg University of Pennsylvania Edited by José Neville Díaz Caraballo University of

More information

Frequencies. Chapter 2. Descriptive statistics and charts

Frequencies. Chapter 2. Descriptive statistics and charts An analyst usually does not concentrate on each individual data values but would like to have a whole picture of how the variables distributed. In this chapter, we will introduce some tools to tabulate

More information

Global Popcorn Market Research Report 2018

Global Popcorn Market Research Report 2018 Report Information More information from: https://www.wiseguyreports.com/reports/3266460-global-popcorn-market-research-report-2018 Global Popcorn Market Research Report 2018 Report / Search Code: WGR3266460

More information

Aerial Cable Installation Best Practices

Aerial Cable Installation Best Practices Aerial Cable Installation Best Practices Panduit Corp. 2007 BEST PRACTICES Table of Contents 1.0 General... 3 2.0 Introduction... 3 3.0 Precautions... 4 4.0 Pre-survey... 5 5.0 Materials and Equipment...

More information

BEAU TIES LTD. OF VERMONT

BEAU TIES LTD. OF VERMONT UV0337 In August 1996, Bill Kenerson, founder and president of Beau Ties Limited of Vermont, was viewing his newest bow-tie offerings and trying to develop appropriate names for them. His company served

More information

Self Excited Automatic Voltage Regulator For Generator Compatible with Marathon SE350* Operation Manual

Self Excited Automatic Voltage Regulator For Generator Compatible with Marathon SE350* Operation Manual Self Excited Automatic Voltage Regulator For Generator Compatible with Marathon SE350* Operation Manual s * Use for reference purpose only and not a genuine Marathon product. 1. INTRODUCTION Sensing Input

More information

Ford AMS Test Bench Operating Instructions

Ford AMS Test Bench Operating Instructions AMS Test Bench 09/2013 Ford AMS Test Bench Operating Instructions The Ford Meter Box Co., Inc. 775 Manchester Avenue, P.O. Box 443, Wabash, Indiana, USA 46992-0443 Telephone: 260-563-3171 FAX: 800-826-3487

More information

Justifying the Proactive Replacement of Cable

Justifying the Proactive Replacement of Cable 1 Justifying the Proactive Replacement of Cable Le Xu, Member, IEEE and Richard E. Brown, Fellow, IEEE Abstract Many utilities have aging underground cable systems that are failing at an increasing rate.

More information

HOW MUCH WILLIAMSBURG SOCCER FIELD CAPACITY WAS ADDED BY CONVERTING TO ARTIFICIAL TURF VS. HOW MUCH WOULD BE ADDED BY INSTALLING LIGHTS?

HOW MUCH WILLIAMSBURG SOCCER FIELD CAPACITY WAS ADDED BY CONVERTING TO ARTIFICIAL TURF VS. HOW MUCH WOULD BE ADDED BY INSTALLING LIGHTS? HOW MUCH WILLIAMSBURG SOCCER FIELD CAPACITY WAS ADDED BY CONVERTING TO ARTIFICIAL TURF VS. HOW MUCH WOULD BE ADDED BY INSTALLING LIGHTS? OVERVIEW This analysis examined the field capacity that would be

More information

Revolutionizing the Transfer Die Industry for Maximum Production. STM Manufacturing, Inc.

Revolutionizing the Transfer Die Industry for Maximum Production. STM Manufacturing, Inc. Revolutionizing the Transfer Die Industry for Maximum Production. STM Manufacturing, Inc. Design/Build Case Study 7 station, 2-out, Support Member (servo press, servo transfer) Problems: Previous home-line

More information

RF Safety Surveys At Broadcast Sites: A Basic Guide

RF Safety Surveys At Broadcast Sites: A Basic Guide ENGINEERING EXTRA REPRINTED FROM FEB. 22, 2012 The News Source for Radio Managers and Engineers RF Safety Surveys At Broadcast Sites: A Basic Guide The Process of Measuring RF Safety Compliance Often Is

More information

NANOS. Trudeau sets yet another new high on the preferred PM tracking by Nanos

NANOS. Trudeau sets yet another new high on the preferred PM tracking by Nanos Trudeau sets yet another new high on the preferred PM tracking by Nanos Nanos Weekly Tracking ending August 5 th, 2016 (released August 9 th, - 6 am Eastern) NANOS At a glance Preferred Prime Minister

More information

MATH& 146 Lesson 11. Section 1.6 Categorical Data

MATH& 146 Lesson 11. Section 1.6 Categorical Data MATH& 146 Lesson 11 Section 1.6 Categorical Data 1 Frequency The first step to organizing categorical data is to count the number of data values there are in each category of interest. We can organize

More information

51109 Köln St. Asaph, Denbigshire LL17OLJ

51109 Köln St. Asaph, Denbigshire LL17OLJ Commissioning the Digital Shaft Copier (DSC) Kollmorgen Steuerungstechnik KOLLMORGEN LIFT CONTROLS Broichstraße 32 Unit 17, St. Asaph Business Park 51109 Köln St. Asaph, Denbigshire LL17OLJ Telefon +49

More information

Elasticity Imaging with Ultrasound JEE 4980 Final Report. George Michaels and Mary Watts

Elasticity Imaging with Ultrasound JEE 4980 Final Report. George Michaels and Mary Watts Elasticity Imaging with Ultrasound JEE 4980 Final Report George Michaels and Mary Watts University of Missouri, St. Louis Washington University Joint Engineering Undergraduate Program St. Louis, Missouri

More information

Jumpstarters for Math

Jumpstarters for Math Jumpstarters for Math Short Daily Warm-ups for the Classroom By CINDY BARDEN COPYRIGHT 2005 Mark Twain Media, Inc. ISBN 10-digit: 1-58037-297-X 13-digit: 978-1-58037-297-8 Printing No. CD-404023 Mark Twain

More information

ECM and E 2 CM performance under bursty traffic. Cyriel Minkenberg & Mitch Gusat IBM Research GmbH, Zurich April 26, 2007

ECM and E 2 CM performance under bursty traffic. Cyriel Minkenberg & Mitch Gusat IBM Research GmbH, Zurich April 26, 2007 ECM and E 2 CM performance under bursty traffic Cyriel Minkenberg & Mitch Gusat IBM Research GmbH, Zurich April 26, 2007 Target Study Output-Generated (OG) single hop congestion with bursty injection processes

More information

Digital Day 2016 Overview of findings

Digital Day 2016 Overview of findings Digital Day 2016 Overview of findings Research Document Publication date: 5 th August 2016 About this document This document provides an overview of the core results from our 2016 Digital Day study, drawing

More information

Trudeau remains strong on preferred PM measure tracked by Nanos

Trudeau remains strong on preferred PM measure tracked by Nanos Trudeau remains strong on preferred PM measure tracked by Nanos Nanos Weekly Tracking ending May 27 th, 2016 (released May 31 st, - 6 am Eastern) NANOS At a glance Preferred Prime Minister Trudeau remains

More information

Santa Clara University Department of Electrical Engineering

Santa Clara University Department of Electrical Engineering Thesprep.doc Santa Clara University Department of Electrical Engineering INSTRUCTIONS FOR PREPARATION OF SENIOR PROJECT REPORT CHAPTER 1. GENERAL INFORMATION The original records of the investigation and

More information

2012 Inspector Survey Analysis Report. November 6, 2012 Presidential General Election

2012 Inspector Survey Analysis Report. November 6, 2012 Presidential General Election 2012 Inspector Survey Analysis Report November 6, 2012 Presidential General Election 2 Inspector Survey Results November 6, 2012 Presidential General Election Survey Methodology Results are based on 1,038

More information

Sector sampling. Nick Smith, Kim Iles and Kurt Raynor

Sector sampling. Nick Smith, Kim Iles and Kurt Raynor Sector sampling Nick Smith, Kim Iles and Kurt Raynor Partly funded by British Columbia Forest Science Program, Canada; Western Forest Products, Canada with support from ESRI Canada What do sector samples

More information

Promo Mojo: NBC's 'Billboard Music Awards' Puts Broadcast Back on Top

Promo Mojo: NBC's 'Billboard Music Awards' Puts Broadcast Back on Top Promo Mojo: NBC's 'Billboard Music Awards' Puts Broadcast Back on Top 05.23.2018 Following four weeks in a row during which cable networks swept the Promo Mojo top five, a traditional broadcaster, NBC,

More information

A year later, Trudeau remains near post election high on perceptions of having the qualities of a good political leader

A year later, Trudeau remains near post election high on perceptions of having the qualities of a good political leader A year later, Trudeau remains near post election high on perceptions of having the qualities of a good political leader Nanos Weekly Tracking ending November 18 th, 2016 (released November 22 nd, 2016-6

More information

NANOS. Trudeau first choice as PM, unsure scores second and at a three year high

NANOS. Trudeau first choice as PM, unsure scores second and at a three year high Trudeau first choice as PM, unsure scores second and at a three year high Nanos Weekly Tracking ending November 4 th, 2016 (released November 8 th, 2016-6 am Eastern) NANOS At a glance Preferred Prime

More information

How Large a Sample? CHAPTER 24. Issues in determining sample size

How Large a Sample? CHAPTER 24. Issues in determining sample size 388 Resampling: The New Statistics CHAPTER 24 How Large a Sample? Issues in Determining Sample Size Some Practical Examples Step-Wise Sample-Size Determination Summary Issues in determining sample size

More information

Koester Performance Research Koester Performance Research Heidi Koester, Ph.D. Rich Simpson, Ph.D., ATP

Koester Performance Research Koester Performance Research Heidi Koester, Ph.D. Rich Simpson, Ph.D., ATP Scanning Wizard software for optimizing configuration of switch scanning systems Heidi Koester, Ph.D. hhk@kpronline.com, Ann Arbor, MI www.kpronline.com Rich Simpson, Ph.D., ATP rsimps04@nyit.edu New York

More information

T HE M AGIC OF G RAPHS AND S TATISTICS

T HE M AGIC OF G RAPHS AND S TATISTICS p01.qxd 10/29/03 9:25 AM Page 1 I T HE M AGIC OF G RAPHS AND S TATISTICS It s hard to get through a day without seeing a graph or chart somewhere, whether you re reading a newspaper or a magazine, watching

More information

Trudeau hits 12 month high, Mulcair 12 month low in wake of Commons incident

Trudeau hits 12 month high, Mulcair 12 month low in wake of Commons incident Trudeau hits 12 month high, Mulcair 12 month low in wake of Commons incident Nanos Weekly Tracking ending May 20 th, 2016 (released May 24 th, - 6 am Eastern) NANOS At a glance Preferred Prime Minister

More information