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The material in the CD-ROM portion of Applied Management Science, Second Edition has been designed to expand the coverage in the text, provide additional problem material, and provide a collection of resources for your use in this course. The material here is organized by resource, and then by chapter. Much of the material on this CD-ROM is in the Adobe Acrobat PDF format, and you can navigate through this material by selecting the links on the screens that follow. Some of the other material, such as the Excel files and
templates, PowerPoint presentations and Excel Add-ins, will require you to go through other applications and access the material through the folders on this CD-ROM.
Select a resource below to begin.
Additional Chapters Supplements
Appendices
Problem Motivations
Additional Problems and Cases Excel Templates
Excel Files
Excel Add-Ins and Software PowerPoint Files
Photo Credits
Additional Chapters
These auxiliary chapters, frequently omitted in the introductory management science course due to the
degree of complexity or lack of time, are included here for students and instructors who wish to explore these topics. Select a chapter to begin.
Chapter 11 – Quality Management Models Chapter 12 – Markov Processes Models
Chapter 13 – Nonlinear Models: Dynamic, Goal, and Nonlinear Programming Models
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Supplements
Supplement CD1 provides a brief review of material covered in a first course in statistics (up through
regression). The last five of these supplementary units provide coverage of additional theoretical concepts and the mathematical algorithms for topics covered in the text. Select a Supplement to begin.
Supplement CD1 – Review of Probability and Statistics Concepts Supplement CD2 – Duality
Supplement CD3 – The Simplex Method
Supplement CD4 – Branch and Bound Algorithms for Integer Programming Models Supplement CD5 – Algorithms for Network Models
Supplement CD6 – Production Based Inventory Models
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Appendices
These appendices provide more extensive mathematical and theoretical coverage of models, algorithms, and mathematical derivations, as well as software applications for simulation models. Select an Appendix to begin.
Appendix 3.1 Additional “Real-Life” Linear Models
Appendix 3.2 A Multiperiod Cash Flow Scheduling Model Appendix 3.3 Data Envelopment Analysis
Appendix 3.4 An Integer Programming Advertising Model Appendix 7.2 Daniel’s Test for Trend
Appendix 7.3 Test for Autocorrelation
Appendix 7.4 Forecasting Based on Taking First Differences
Appendix 7.5 Determining Whether to Include Dummy Seasonal Variables in Regression Models Appendix 7.6 Use of the Excel Trendline Feature
Appendix 7.7 Developing an Excel Spreadsheet for Performing Classical Decomposition Appendix 8.2 Mathematical Formulas for Inventory Models
Appendix 8.3 Determining the Reorder Point, R, Corresponding to a Unit Service Level
Appendix 8.4 Determining the Optimal Order Quantity Under an Incremental Discount Schedule Appendix 8.5 Derivation of the Planned Shortage Model
Appendix 8.6 Single-Period Inventory Model
Appendix 9.2 Goodness of Fit Testing to Determine the Appropriate Probability Distribution for the Arrival and Service Processes
Appendix 9.3 The Erlangian Distribution
Appendix 9.4 Derivation of the Performance Measures for M/M/1 Queues Using Balance Equations Appendix 9.5 Derivation of the Performance Measures for M/M/k Queues Using Balance Equations Appendix 9.6 Transition Diagram for an M/M/k/F Queuing System
Appendix 9.7 Transition Diagram for an M/M/1//m Queuing System
Appendix 9.8 Assembly Line Balancing – An Application of Tandem Queues Appendix 10.1 Conducting a Nest Event Simulation Using Extend
Appendix 10.2 Generating Pseudo-Random Numbers Using the Linear Congruential Method Appendix 10.3 Statistical Tests for Comparing Simulation Results
Appendix 10.4 Simulation of a Capital Bank Model Using Excel
Appendix 10.5 Interpolation Method for Generating Random Variable Inputs
Appendix 10.6 Using Crystal Ball for Simulating Queuing, Decision Analysis and Project Management Models
Appendix 10.7 Variance Reduction Techniques Return to Main Menu
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Problem Motivations
These folders give specific problem references for key topics covered in each chapter of the text. Select a chapter below to begin.
Chapter 2: Linear and Integer Programming Models
Chapter 3: Applications of Linear and Integer Programming Models Chapter 4: Network Models
Chapter 5: Project Scheduling Models Chapter 6: Decision Models
Chapter 7: Forecasting Models Chapter 8: Inventory Models Chapter 9: Queuing Models Chapter 10: Simulation Return to Main Menu
Additional Problems and Cases
These folders contain additional problems for each chapter and a number of additional cases for selected chapters. Select a chapter below to begin.
Chapter 1 Introduction to Management Science Models Chapter 2: Linear and Integer Programming Models
Chapter 3: Applications of Linear and Integer Programming Models Chapter 4: Network Models
Chapter 5: Project Scheduling Models Chapter 6: Decision Models
Chapter 7: Forecasting Models Chapter 8: Inventory Models Chapter 9: Queuing Models Chapter 10: Simulation
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Templates
Many of the models discussed in the text can be solved using the following templates. To access these files, run Excel and open the files from the “templates” folder on this CD. Additionally, you can copy these files to your hard drive, and access them from there. The files you will find in this folder are:
• CPM-Budget.xls • CPM-Deadline.xls
• Decision Payoff Table.xls • forecast.xls • inventory.xls • Markov.xls • network.xls • PERT-COST.xls • PERT-CPM.xls • QC.xls • queue.xls
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Excel Files
All of the examples discussed in the text have Excel files included in these folders. Additional files are
included for some problems and cases associated with these chapters. To access these files, run Excel and open the files from the “excel” folder on this CD. A separate subfolder has been created for each chapter, making it easier for you to find the file or files for which you are looking. Additionally, you can copy these files to your hard drive, and access them from there.
Chapter 1: Introduction to Management Science Models Chapter 2: Linear and Integer Programming Models
Chapter 3: Applications of Linear and Integer Programming Models Chapter 4: Network Models
Chapter 5: Project Scheduling Models Chapter 6: Decision Models
Chapter 7: Forecasting Models Chapter 8: Inventory Models Chapter 9: Queuing Models Chapter 10: Simulation
Chapter 11: Quality Management Chapter 12: Markov Processes
Chapter 13: Nonlinear Models: Dynamic, Goal, and Nonlinear Programming Models Supplement CD1: Review of Probability and Statistical Concepts
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Excel Add-Ins and Software
This CD-ROM includes student versions of three software packages: TreePlan for Excel
This Excel add-in will help you solve decision tree problems.
To run TreePlan for Excel, run Excel, and open treeplan.xla from this CD-ROM (in the folder software/treeplan – you can also copy this file to your hard drive). Open a new sheet, and choose Decision Tree from the Tools
menu. For instructions on how to use TreePlan, view the documentation by opening the file “treeplan.pdf” in the same folder.
Decision Support Services
© Copyright 2001 Michael R. Middleton www.treeplan.com
Crystal Ball 2000
This Excel add-in will help you analyzing simulations. You will need to install Crystal Ball 2000 on your hard drive. For instructions on how to install Crystal Ball 2000, view the Readme.doc file in the software/crystalball folder.
Decisioneering, Inc. © Copyright 1988 - 2001 www.decisioneering.com Extend LT5
This software will help you conduct simulations. You will need to install Extend LT5 on your hard drive. For instructions on how to install Extend LT5, view the Readme.doc file in the software/extend folder.
Imagine That, Inc. © Copyright
www.imaginethatinc.com
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PowerPoint Files
PowerPoint slides that parallel the discussion of each chapter are given in the following folders. You will need either PowerPoint or the PowerPoint Viewer (which you can install from this CD). Select a chapter below to begin.
Chapter 1: Introduction to Management Science Models Chapter 2: Linear and Integer Programming Models
Chapter 3: Applications of Linear and Integer Programming Models Chapter 4: Network Models
Chapter 5: Project Scheduling Models Chapter 6: Decision Models
Chapter 7: Forecasting Models Chapter 8: Inventory Models Chapter 9: Queuing Models Chapter 10: Simulation
Chapter 11: Quality Management Chapter 12: Markov Processes
Chapter 13: Nonlinear Models; Dynamic, Goal, and Nonlinear Programming Models
Install the PowerPoint Viewer
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Photo Credits
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© 2002 John Wiley & Sons, Inc. View Photo Credits