Simulation with Arena:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boston, Mass. [u.a.]
McGraw-Hill
2007
|
| Ausgabe: | 4. ed., internat. ed. |
| Schriftenreihe: | McGraw-Hill series in industrial engineering and management science
McGraw-Hill: Higher education |
| Schlagworte: | |
| Online-Zugang: | Table of contents only Inhaltsverzeichnis |
| Beschreibung: | CD-ROM-Beil. u.d.T.: Arena |
| Beschreibung: | XXIII, 630 S. Ill., graph. Darst. CD-ROM (12 cm) |
| ISBN: | 9780073523415 0073523410 0071106855 9780071106856 9780071286046 0071286047 |
Internformat
MARC
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| 100 | 1 | |a Kelton, W. David |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Simulation with Arena |c W. David Kelton ; Randall P. Sadowski ; David T. Sturrock |
| 246 | 1 | 3 | |a Arena |
| 250 | |a 4. ed., internat. ed. | ||
| 264 | 1 | |a Boston, Mass. [u.a.] |b McGraw-Hill |c 2007 | |
| 300 | |a XXIII, 630 S. |b Ill., graph. Darst. |e CD-ROM (12 cm) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
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| 490 | 0 | |a McGraw-Hill series in industrial engineering and management science | |
| 490 | 0 | |a McGraw-Hill: Higher education | |
| 500 | |a CD-ROM-Beil. u.d.T.: Arena | ||
| 630 | 0 | 4 | |a Arena (Computer file) |
| 650 | 4 | |a Simulación por computadores | |
| 650 | 4 | |a Computer simulation | |
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| 700 | 1 | |a Sadowski, Randall P. |e Verfasser |4 aut | |
| 700 | 1 | |a Sturrock, David T. |e Verfasser |4 aut | |
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Datensatz im Suchindex
| _version_ | 1809403469178601472 |
|---|---|
| adam_text |
Titel: Simulation with Arena
Autor: Kelton, Walter David
Jahr: 2007
XV
Contents
Chapter 1: What Is Simulation?.1
1.1 Modeling. 1
1.1.1 What's Being Modeled?.2
1.1.2 How About Just Playing with the System?.3
1.1.3 Sometimes You Can't (or Shouldn't) Play with the System.3
1.1.4 Physical Models.4
1.1.5 Logical (or Mathematical) Models.4
1.1.6 What Do You Do with a Logical Model?.4
1.2 Computer Simulation.5
1.2.1 Popularity and Advantages.5
1.2.2 The Bad News.6
1.2.3 Different Kinds of Simulations.7
1.3 How Simulations Get Done.8
1.3.1 By Hand.8
1.3.2 Programming in General-Purpose Languages.9
1.3.3 Simulation Languages. 10
1.3.4 High-Level Simulators. 10
1.3.5 Where Arena Fits In. 10
1.4 When Simulations Are Used. 12
1.4.1 The Early Years. 12
1.4.2 The Formative Years. 12
1.4.3 The Recent Past. 13
1.4.4 The Present. 13
1.4.5 The Future. 13
Chapter 2: Fundamental Simulation Concepts.15
2.1 An Example. 15
2.1.1 The System. 15
2.1.2 Goals of the Study. 17
2.2 Analysis Options. 18
2.2.1 Educated Guessing. 18
2.2.2 Queueing Theory. 19
2.2.3 Mechanistic Simulation.20
2.3 Pieces of a Simulation Model.20
2.3.1 Entities.20
2.3.2 Attributes.21
2.3.3 (Global) Variables.21
2.3.4 Resources.22
2.3.5 Queues.22
XVI
2.3.6 Statistical Accumulators.23
2.3.7 Events.23
2.3.8 Simulation Clock.24
2.3.9 Starting and Stopping.24
2.4 Event-Driven Hand Simulation.25
2.4.1 Outline of the Action.25
2.4.2 Keeping Track ofThings.26
2.4.3 Carrying It Out.28
2.4.4 Finishing Up.32
2.5 Event- and Process-Oriented Simulation.32
2.6 Randomness in Simulation.34
2.6.1 Random Input, Random Output.34
2.6.2 Replicating the Example.35
2.6.3 Comparing Alternatives.36
2.7 Simulating with Spreadsheets.38
2.7.1 A Newsvendor Problem.38
2.7.2 A Single-Server Queue.43
2.7.3 Extensions and Limitations.47
2.8 Overview of a Simulation Study.47
2.9 Exercises.48
Chapter 3: A Guided Tour Through Arena.53
3.1 Starting Up.53
3.2 Exploring the Arena Window.55
3.2.1 Opening a Model.55
3.2.2 Basic Interaction and Pieces of the Arena Window.56
3.2.3 Panning, Zooming, Viewing, and Aligning in the Flowchart
View.58
3.2.4 Modules.60
3.2.5 Internal Model Documentation.61
3.3 Browsing Through an Existing Model: Model 3-1.62
3.3.1 The Create Flowchart Module.62
3.3.2 The Entity Data Module.63
3.3.3 The Process Flowchart Module.64
3.3.4 The Resource Data Module.66
3.3.5 The Queue Data Module.67
3.3.6 Animating Resources and Queues.67
3.3.7 The Dispose Flowchart Module.68
3.3.8 Connecting Flowchart Modules.68
3.3.9 Dynamic Plots.69
3.3.10 Dressing Things Up.71
3.3.11 Setting the Run Conditions.72
3.3.12 Running It.73
3.3.13 Viewing the Reports.74
3.4 Building Model 3-1 Yourself.79
3.4.1 New Model Window and Basic Process Panel .80
3.4.2 Place and Connect the Flowchart Modules.81
3.4.3 The Create Flowchart Module.81
3.4.4 Displays.82
3.4.5 The Entity Data Module.83
3.4.6 The Process Flowchart Module.83
3.4.7 The Resource and Queue Data Modules.84
3.4.8 Resource Animation.84
3.4.9 The Dispose Flowchart Module.85
3.4.10 Dynamic Plots.85
3.4.11 Window Dressing.88
3.4.12 The Run Setup Dialog Boxes.89
3.4.13 Establishing Named Views.89
3.5 Case Study: Specialized Serial Processing vs. Generalized Parallel
Processing.89
3.5.1 Model 3-2: Serial Processing - Specialized Separated Work.90
3.5.2 Model 3-3: Parallel Processing - Generalized Integrated Work.92
3.5.3 Models 3-4 and 3-5: The Effect of Task-Time Variability.95
3.6 More on Menus, Toolbars, Drawing, and Printing.97
3.6.1 Menus.97
3.6.2 Toolbars. 102
3.6.3 Drawing. 105
3.6.4 Printing. 107
3.7 Help!. 107
3.8 More on Running Models. 108
3.9 Summary and Forecast. 109
3.10 Exercises. 110
Chapter 4: Modeling Basic Operations and Inputs.115
4.1 Model 4-1: An Electronic Assembly and Test System . 115
4.1.1 Developing a Modeling Approach. 116
4.1.2 Building the Model. 117
4.1.3 Running the Model. 128
4.1.4 Viewing the Results. 130
4.2 Model 4-2: The Enhanced Electronic Assembly and Test System. 132
4.2.1 Expanding Resource Representation: Schedules and States. 133
4.2.2 Resource Schedules. 134
4.2.3 Resource Failures. 138
4.2.4 Frequencies.140
4.2.5 Results of Model 4-2.143
4.3 Model 4-3: Enhancing the Animation. 147
4.3.1 Changing Animation Queues.148
4.3.2 Changing Entity Pictures.150
XV111
4.3.3 Adding Resource Pictures.152
4.3.4 Adding Variables and Plots.154
4.4 Model 4-4: The Electronic Assembly and Test System with Part Transfers.156
4.4.1 Some New Arena Concepts: Stations and Transfers. 156
4.4.2 Adding the Route Logic.158
4.4.3 Altering the Animation.161
4.5 Finding and Fixing Errors. 164
4.6 Input Analysis: Specifying Model Parameters and Distributions.172
4.6.1 Deterministic vs. Random Inputs. 173
4.6.2 Collecting Data. 174
4.6.3 Using Data.175
4.6.4 Fitting Input Distributions via the Input Analyzer. 176
4.6.5 No Data?. 183
4.6.6 Nonstationary Arrival Processes. 186
4.6.7 Multivariate and Correlated Input Data. 187
4.7 Summary and Forecast. 187
4.8 Exercises. 188
Chapter 5: Modeling Detailed Operations.195
5.1 Model 5-1: A Simple Call Center System. 196
5.2 New Modeling Issues. 197
5.2.1 Customer Rejections and Balking. 197
5.2.2 Three-Way Decisions. 198
5.2.3 Variables and Expressions.198
5.2.4 Storages. 199
5.2.5 Terminating or Steady-State.199
5.3 Modeling Approach.200
5.4 Building the Model.202
5.4.1 Create Arrivals and Direct to Service.202
5.4.2 Arrival Cutoff Logic.208
5.4.3 Technical Support Calls.210
5.4.4 Sales Calls.213
5.4.5 Order-Status Calls.214
5.4.6 System Exit and Run Setup.220
5.4.7 Animation.222
5.5 Model 5-2: The Enhanced Call Center System.225
5.5.1 The New Problem Description.225
5.5.2 New Concepts.227
5.5.3 Defining the Data.229
5.5.4 Modifying the Model.233
5.6 Model 5-3: The Enhanced Call Center with More Output Performance
Measures.238
5.7 Model 5-4: An (s, S) Inventory Simulation.244
5.7.1 System Description.244
5.7.2 Simulation Model.246
XIX
5.8 Summary and Forecast.258
5.9 Exercises.258
Chapter 6: Statistical Analysis of Output from Terminating Simulations.265
6.1 Time Frame of Simulations.266
6.2 Strategy for Data Collection and Analysis.266
6.3 Confidence Intervals for Terminating Systems.268
6.4 Comparing Two Scenarios.273
6.5 Evaluating Many Scenarios with the Process Analyzer (PAN).277
6.6 Searching for an Optimal Scenario with OptQuest.282
6.7 Summary and Forecast.287
6.8 Exercises.288
Chapter 7: Intermediate Modeling and Steady-State Statistical Analysis.293
7.1 Model 7-1: A Small Manufacturing System.293
7.1.1 New Arena Concepts.294
7.1.2 The Modeling Approach.296
7.1.3 The Data Modules.297
7.1.4 The Logic Modules.299
7.1.5 Animation.306
7.1.6 Verification.308
7.2 Statistical Analysis of Output from Steady-State Simulations.312
7.2.1 Warm-Up and Run Length.312
7.2.2 Truncated Replications.316
7.2.3 Batching in a Single Run.317
7.2.4 What To Do?.320
7.2.5 Other Methods and Goals for Steady-State Statistical Analysis.321
7.3 Summary and Forecast.321
7.4 Exercises.321
Chapter 8: Entity Transfer.327
8.1 Types of Entity Transfers.327
8.2 Model 8-1: The Small Manufacturing System with Resource-Constrained
Transfers.329
8.3 The Small Manufacturing System with Transporters.333
8.3.1 Model 8-2: The Modified Model 8-1 for Transporters.334
8.3.2 Model 8-3: Refining the Animation for Transporters.341
8.4 Conveyors.347
8.4.1 Model 8-4: The Small Manufacturing System with
Nonaccumulating Conveyors.350
8.4.2 Model 8-5: The Small Manufacturing System with
Accumulating Conveyors.355
8.5
8.6
Chapter 9:
Summary and Forecast.356
Exercises.356
A Sampler of Further Modeling Issues and Techniques.359
Modeling Conveyors Using the Advanced Transfer Panel.359
9.1.1 Model 9-1: Finite Buffers at Stations.360
9.1.2 Model 9-2: Parts Stay on Conveyor During Processing.364
More on Transporters.365
Entity Reneging .366
9.3.1 Entity Balking and Reneging.366
9.3.2 Model 9-3: A Service Model with Balking and Reneging.367
Holding and Batching Entities.375
9.4.1 Modeling Options.375
9.4.2 Model 9-4: A Batching Process Example.376
Overlapping Resources.382
9.5.1 System Description.382
9.5.2 Model 9-5: A Tightly Coupled Production System.384
9.5.3 Model 9-6: Adding Part-Status Statistics.390
A Few Miscellaneous Modeling Issues.393
9.6.1 Guided Transporters.394
9.6.2 Parallel Queues.394
9.6.3 Decision Logic.395
Exercises .396
Chapter 10: Arena Integration and Customization.403
Model 10-1: Reading and Writing Data Files.403
10.1.1 Model 10-2: Reading Entity Arrivals from a Text File.405
10.1.2 Model 10-3 and Model 10-4: Reading and Writing Access
and Excel Files.409
10.1.3 Advanced Reading and Writing.416
VBA in Arena.420
10.2.1 Overview of ActiveX Automation and VBA.420
10.2.2 Built-in Arena VBA Events.422
10.2.3 Arena's Object Model.425
10.2.4 Arena's Macro Recorder.428
Model 10-5: Presenting Arrival Choices to the User.431
10.3.1 Modifying the Creation Logic.432
10.3.2 Designing the VBA UserForm.434
10.3.3 Displaying the Form and Setting Model Data.435
Model 10-6: Recording and Charting Model Results in Microsoft Excel.442
10.4.1 Setting Up Excel at the Beginning of the Run.443
10.4.2 Storing Individual Call Data Using the VBA Module.446
10.4.3 Charting the Results and Cleaning Up at the End of the Run.448
9.2
9.3
9.4
9.5
9.6
9.7
10.1
10.2
10.3
10.4
XXI
10.5 Creating Modules Using the Arena Professional Edition: Template 10-1 .449
10.5.1 The Create from File Module.450
10.5.2 The Template Source File: Template 10-01.tpl.451
10.5.3 The Panel Icon and User View.451
10.5.4 The Module Logic and Operands.452
10.5.5 Uses of Templates.456
10.6 Real-time Integration.457
10.7 Summary and Forecast.462
10.8 Exercises.462
Chapter 11: Continuous and Combined Discrete/Continuous Models.465
11.1 Modeling Simple Discrete/Continuous Systems.466
11.1.1 Model 11-1: A Simple Continuous System.466
11.1.2 Model 11-2: Interfacing Continuous and Discrete Logic.469
11.2 A Coal-Loading Operation.473
11.2.1 System Description.474
11.2.2 Modeling Approach.475
11.2.3 Model 11-3: Coal Loading with Continuous Approach.477
11.2.4 Model 11-4: Coal Loading with Flow Process.487
11.3 Continuous State-Change Systems.491
11.3.1 Model 11-5: A Soaking-Pit Furnace.491
11.3.2 Modeling Continuously Changing Rates.492
11.3.3 Arena's Approach for Solving Differential Equations.493
11.3.4 Building the Model.494
11.3.5 Defining the Differential Equations Using VBA.498
11.4 Summary and Forecast.500
11.5 Exercises.501
Chapter 12: Further Statistical Issues.505
12.1 Random-Number Generation.505
12.2 Generating Random Variates.511
12.2.1 Discrete.511
12.2.2 Continuous.513
12.3 Nonstationary Poisson Processes.515
12.4 Variance Reduction.516
12.4.1 Common Random Numbers.517
12.4.2 Other Methods.523
12.5 Sequential Sampling.524
12.5.1 Terminating Models.525
12.5.2 Steady-State Models.529
12.6 Designing and Executing Simulation Experiments.531
12.7 Exercises.532
xxn
Chapter 13: Conducting Simulation Studies.535
13.1 A Successful Simulation Study.535
13.2 Problem Formulation.538
13.3 Solution Methodology.539
13.4 System and Simulation Specification.540
13.5 Model Formulation and Construction.544
13.6 Verification and Validation.546
13.7 Experimentation and Analysis.549
13.8 Presenting and Preserving the Results.550
13.9 Disseminating the Model.551
Appendix A: A Functional Specification for The Washington Post.553
A.l Introduction.553
A.l.l Document Organization.553
A.1.2 Simulation Objectives.553
A.l.3 Purpose of the Functional Specification.554
A. 1.4 Use of the Model.554
A.l.5 Hardware and Software Requirements.555
A.2 System Description and Modeling Approach .555
A.2.1 Model Timeline.555
A.2.2 Presses.555
A.2.3 Product Types.557
A.2.4 Press Packaging Lines.557
A.2.5 Tray System.557
A.2.6 Truck Arrivals.558
A.2.7 Docks.559
A.2.8 Palletizers.559
A.2.9 Manual Insertion Process.560
A.3 Animation.561
A.4 Summary of Input and Output.561
A.4.1 Model Input.561
A.4.2 Model Output.562
A.5 Project Deliverables.564
A.5.1 Simulation Model Documentation .564
A.5.2 User's Manual.564
A.5.3 Model Validation.564
A.5.4 Animation.564
A.6 Acceptance.564
Appendix B: IIE/RA Contest Problems.567
XX111
Appendix C: A Refresher on Probability and Statistics.569
C.l Probability Basics.569
C.2 Random Variables.571
C.2.1 Basics.571
C.2.2 Discrete.572
C.2.3 Continuous.574
C.2.4 Joint Distributions, Covariance, Correlation, and Independence.576
C.3 Sampling and Sampling Distributions.579
C.4 Point Estimation.581
C.5 Confidence Intervals.581
C.6 Hypothesis Tests.583
C.7 Exercises.585
Appendix D: Arena's Probability Distributions.587
Arena's Probability Distributions.587
Beta.589
Continuous.590
Discrete.592
Erlang.593
Exponential.594
Gamma.595
Johnson.596
Lognormal.597
Normal.598
Poisson.599
Triangular.600
Uniform.601
Weibull.602
Appendix E: Academic Software Installation Instructions.603
E.l Authorization to Copy Software.603
E.2 Installing the Arena Software .603
E.3 System Requirements.604
References .605
Index .609 |
| adam_txt |
Titel: Simulation with Arena
Autor: Kelton, Walter David
Jahr: 2007
XV
Contents
Chapter 1: What Is Simulation?.1
1.1 Modeling. 1
1.1.1 What's Being Modeled?.2
1.1.2 How About Just Playing with the System?.3
1.1.3 Sometimes You Can't (or Shouldn't) Play with the System.3
1.1.4 Physical Models.4
1.1.5 Logical (or Mathematical) Models.4
1.1.6 What Do You Do with a Logical Model?.4
1.2 Computer Simulation.5
1.2.1 Popularity and Advantages.5
1.2.2 The Bad News.6
1.2.3 Different Kinds of Simulations.7
1.3 How Simulations Get Done.8
1.3.1 By Hand.8
1.3.2 Programming in General-Purpose Languages.9
1.3.3 Simulation Languages. 10
1.3.4 High-Level Simulators. 10
1.3.5 Where Arena Fits In. 10
1.4 When Simulations Are Used. 12
1.4.1 The Early Years. 12
1.4.2 The Formative Years. 12
1.4.3 The Recent Past. 13
1.4.4 The Present. 13
1.4.5 The Future. 13
Chapter 2: Fundamental Simulation Concepts.15
2.1 An Example. 15
2.1.1 The System. 15
2.1.2 Goals of the Study. 17
2.2 Analysis Options. 18
2.2.1 Educated Guessing. 18
2.2.2 Queueing Theory. 19
2.2.3 Mechanistic Simulation.20
2.3 Pieces of a Simulation Model.20
2.3.1 Entities.20
2.3.2 Attributes.21
2.3.3 (Global) Variables.21
2.3.4 Resources.22
2.3.5 Queues.22
XVI
2.3.6 Statistical Accumulators.23
2.3.7 Events.23
2.3.8 Simulation Clock.24
2.3.9 Starting and Stopping.24
2.4 Event-Driven Hand Simulation.25
2.4.1 Outline of the Action.25
2.4.2 Keeping Track ofThings.26
2.4.3 Carrying It Out.28
2.4.4 Finishing Up.32
2.5 Event- and Process-Oriented Simulation.32
2.6 Randomness in Simulation.34
2.6.1 Random Input, Random Output.34
2.6.2 Replicating the Example.35
2.6.3 Comparing Alternatives.36
2.7 Simulating with Spreadsheets.38
2.7.1 A Newsvendor Problem.38
2.7.2 A Single-Server Queue.43
2.7.3 Extensions and Limitations.47
2.8 Overview of a Simulation Study.47
2.9 Exercises.48
Chapter 3: A Guided Tour Through Arena.53
3.1 Starting Up.53
3.2 Exploring the Arena Window.55
3.2.1 Opening a Model.55
3.2.2 Basic Interaction and Pieces of the Arena Window.56
3.2.3 Panning, Zooming, Viewing, and Aligning in the Flowchart
View.58
3.2.4 Modules.60
3.2.5 Internal Model Documentation.61
3.3 Browsing Through an Existing Model: Model 3-1.62
3.3.1 The Create Flowchart Module.62
3.3.2 The Entity Data Module.63
3.3.3 The Process Flowchart Module.64
3.3.4 The Resource Data Module.66
3.3.5 The Queue Data Module.67
3.3.6 Animating Resources and Queues.67
3.3.7 The Dispose Flowchart Module.68
3.3.8 Connecting Flowchart Modules.68
3.3.9 Dynamic Plots.69
3.3.10 Dressing Things Up.71
3.3.11 Setting the Run Conditions.72
3.3.12 Running It.73
3.3.13 Viewing the Reports.74
3.4 Building Model 3-1 Yourself.79
3.4.1 New Model Window and Basic Process Panel .80
3.4.2 Place and Connect the Flowchart Modules.81
3.4.3 The Create Flowchart Module.81
3.4.4 Displays.82
3.4.5 The Entity Data Module.83
3.4.6 The Process Flowchart Module.83
3.4.7 The Resource and Queue Data Modules.84
3.4.8 Resource Animation.84
3.4.9 The Dispose Flowchart Module.85
3.4.10 Dynamic Plots.85
3.4.11 Window Dressing.88
3.4.12 The Run Setup Dialog Boxes.89
3.4.13 Establishing Named Views.89
3.5 Case Study: Specialized Serial Processing vs. Generalized Parallel
Processing.89
3.5.1 Model 3-2: Serial Processing - Specialized Separated Work.90
3.5.2 Model 3-3: Parallel Processing - Generalized Integrated Work.92
3.5.3 Models 3-4 and 3-5: The Effect of Task-Time Variability.95
3.6 More on Menus, Toolbars, Drawing, and Printing.97
3.6.1 Menus.97
3.6.2 Toolbars. 102
3.6.3 Drawing. 105
3.6.4 Printing. 107
3.7 Help!. 107
3.8 More on Running Models. 108
3.9 Summary and Forecast. 109
3.10 Exercises. 110
Chapter 4: Modeling Basic Operations and Inputs.115
4.1 Model 4-1: An Electronic Assembly and Test System . 115
4.1.1 Developing a Modeling Approach. 116
4.1.2 Building the Model. 117
4.1.3 Running the Model. 128
4.1.4 Viewing the Results. 130
4.2 Model 4-2: The Enhanced Electronic Assembly and Test System. 132
4.2.1 Expanding Resource Representation: Schedules and States. 133
4.2.2 Resource Schedules. 134
4.2.3 Resource Failures. 138
4.2.4 Frequencies.140
4.2.5 Results of Model 4-2.143
4.3 Model 4-3: Enhancing the Animation. 147
4.3.1 Changing Animation Queues.148
4.3.2 Changing Entity Pictures.150
XV111
4.3.3 Adding Resource Pictures.152
4.3.4 Adding Variables and Plots.154
4.4 Model 4-4: The Electronic Assembly and Test System with Part Transfers.156
4.4.1 Some New Arena Concepts: Stations and Transfers. 156
4.4.2 Adding the Route Logic.158
4.4.3 Altering the Animation.161
4.5 Finding and Fixing Errors. 164
4.6 Input Analysis: Specifying Model Parameters and Distributions.172
4.6.1 Deterministic vs. Random Inputs. 173
4.6.2 Collecting Data. 174
4.6.3 Using Data.175
4.6.4 Fitting Input Distributions via the Input Analyzer. 176
4.6.5 No Data?. 183
4.6.6 Nonstationary Arrival Processes. 186
4.6.7 Multivariate and Correlated Input Data. 187
4.7 Summary and Forecast. 187
4.8 Exercises. 188
Chapter 5: Modeling Detailed Operations.195
5.1 Model 5-1: A Simple Call Center System. 196
5.2 New Modeling Issues. 197
5.2.1 Customer Rejections and Balking. 197
5.2.2 Three-Way Decisions. 198
5.2.3 Variables and Expressions.198
5.2.4 Storages. 199
5.2.5 Terminating or Steady-State.199
5.3 Modeling Approach.200
5.4 Building the Model.202
5.4.1 Create Arrivals and Direct to Service.202
5.4.2 Arrival Cutoff Logic.208
5.4.3 Technical Support Calls.210
5.4.4 Sales Calls.213
5.4.5 Order-Status Calls.214
5.4.6 System Exit and Run Setup.220
5.4.7 Animation.222
5.5 Model 5-2: The Enhanced Call Center System.225
5.5.1 The New Problem Description.225
5.5.2 New Concepts.227
5.5.3 Defining the Data.229
5.5.4 Modifying the Model.233
5.6 Model 5-3: The Enhanced Call Center with More Output Performance
Measures.238
5.7 Model 5-4: An (s, S) Inventory Simulation.244
5.7.1 System Description.244
5.7.2 Simulation Model.246
XIX
5.8 Summary and Forecast.258
5.9 Exercises.258
Chapter 6: Statistical Analysis of Output from Terminating Simulations.265
6.1 Time Frame of Simulations.266
6.2 Strategy for Data Collection and Analysis.266
6.3 Confidence Intervals for Terminating Systems.268
6.4 Comparing Two Scenarios.273
6.5 Evaluating Many Scenarios with the Process Analyzer (PAN).277
6.6 Searching for an Optimal Scenario with OptQuest.282
6.7 Summary and Forecast.287
6.8 Exercises.288
Chapter 7: Intermediate Modeling and Steady-State Statistical Analysis.293
7.1 Model 7-1: A Small Manufacturing System.293
7.1.1 New Arena Concepts.294
7.1.2 The Modeling Approach.296
7.1.3 The Data Modules.297
7.1.4 The Logic Modules.299
7.1.5 Animation.306
7.1.6 Verification.308
7.2 Statistical Analysis of Output from Steady-State Simulations.312
7.2.1 Warm-Up and Run Length.312
7.2.2 Truncated Replications.316
7.2.3 Batching in a Single Run.317
7.2.4 What To Do?.320
7.2.5 Other Methods and Goals for Steady-State Statistical Analysis.321
7.3 Summary and Forecast.321
7.4 Exercises.321
Chapter 8: Entity Transfer.327
8.1 Types of Entity Transfers.327
8.2 Model 8-1: The Small Manufacturing System with Resource-Constrained
Transfers.329
8.3 The Small Manufacturing System with Transporters.333
8.3.1 Model 8-2: The Modified Model 8-1 for Transporters.334
8.3.2 Model 8-3: Refining the Animation for Transporters.341
8.4 Conveyors.347
8.4.1 Model 8-4: The Small Manufacturing System with
Nonaccumulating Conveyors.350
8.4.2 Model 8-5: The Small Manufacturing System with
Accumulating Conveyors.355
8.5
8.6
Chapter 9:
Summary and Forecast.356
Exercises.356
A Sampler of Further Modeling Issues and Techniques.359
Modeling Conveyors Using the Advanced Transfer Panel.359
9.1.1 Model 9-1: Finite Buffers at Stations.360
9.1.2 Model 9-2: Parts Stay on Conveyor During Processing.364
More on Transporters.365
Entity Reneging .366
9.3.1 Entity Balking and Reneging.366
9.3.2 Model 9-3: A Service Model with Balking and Reneging.367
Holding and Batching Entities.375
9.4.1 Modeling Options.375
9.4.2 Model 9-4: A Batching Process Example.376
Overlapping Resources.382
9.5.1 System Description.382
9.5.2 Model 9-5: A Tightly Coupled Production System.384
9.5.3 Model 9-6: Adding Part-Status Statistics.390
A Few Miscellaneous Modeling Issues.393
9.6.1 Guided Transporters.394
9.6.2 Parallel Queues.394
9.6.3 Decision Logic.395
Exercises .396
Chapter 10: Arena Integration and Customization.403
Model 10-1: Reading and Writing Data Files.403
10.1.1 Model 10-2: Reading Entity Arrivals from a Text File.405
10.1.2 Model 10-3 and Model 10-4: Reading and Writing Access
and Excel Files.409
10.1.3 Advanced Reading and Writing.416
VBA in Arena.420
10.2.1 Overview of ActiveX Automation and VBA.420
10.2.2 Built-in Arena VBA Events.422
10.2.3 Arena's Object Model.425
10.2.4 Arena's Macro Recorder.428
Model 10-5: Presenting Arrival Choices to the User.431
10.3.1 Modifying the Creation Logic.432
10.3.2 Designing the VBA UserForm.434
10.3.3 Displaying the Form and Setting Model Data.435
Model 10-6: Recording and Charting Model Results in Microsoft Excel.442
10.4.1 Setting Up Excel at the Beginning of the Run.443
10.4.2 Storing Individual Call Data Using the VBA Module.446
10.4.3 Charting the Results and Cleaning Up at the End of the Run.448
9.2
9.3
9.4
9.5
9.6
9.7
10.1
10.2
10.3
10.4
XXI
10.5 Creating Modules Using the Arena Professional Edition: Template 10-1 .449
10.5.1 The Create from File Module.450
10.5.2 The Template Source File: Template 10-01.tpl.451
10.5.3 The Panel Icon and User View.451
10.5.4 The Module Logic and Operands.452
10.5.5 Uses of Templates.456
10.6 Real-time Integration.457
10.7 Summary and Forecast.462
10.8 Exercises.462
Chapter 11: Continuous and Combined Discrete/Continuous Models.465
11.1 Modeling Simple Discrete/Continuous Systems.466
11.1.1 Model 11-1: A Simple Continuous System.466
11.1.2 Model 11-2: Interfacing Continuous and Discrete Logic.469
11.2 A Coal-Loading Operation.473
11.2.1 System Description.474
11.2.2 Modeling Approach.475
11.2.3 Model 11-3: Coal Loading with Continuous Approach.477
11.2.4 Model 11-4: Coal Loading with Flow Process.487
11.3 Continuous State-Change Systems.491
11.3.1 Model 11-5: A Soaking-Pit Furnace.491
11.3.2 Modeling Continuously Changing Rates.492
11.3.3 Arena's Approach for Solving Differential Equations.493
11.3.4 Building the Model.494
11.3.5 Defining the Differential Equations Using VBA.498
11.4 Summary and Forecast.500
11.5 Exercises.501
Chapter 12: Further Statistical Issues.505
12.1 Random-Number Generation.505
12.2 Generating Random Variates.511
12.2.1 Discrete.511
12.2.2 Continuous.513
12.3 Nonstationary Poisson Processes.515
12.4 Variance Reduction.516
12.4.1 Common Random Numbers.517
12.4.2 Other Methods.523
12.5 Sequential Sampling.524
12.5.1 Terminating Models.525
12.5.2 Steady-State Models.529
12.6 Designing and Executing Simulation Experiments.531
12.7 Exercises.532
xxn
Chapter 13: Conducting Simulation Studies.535
13.1 A Successful Simulation Study.535
13.2 Problem Formulation.538
13.3 Solution Methodology.539
13.4 System and Simulation Specification.540
13.5 Model Formulation and Construction.544
13.6 Verification and Validation.546
13.7 Experimentation and Analysis.549
13.8 Presenting and Preserving the Results.550
13.9 Disseminating the Model.551
Appendix A: A Functional Specification for The Washington Post.553
A.l Introduction.553
A.l.l Document Organization.553
A.1.2 Simulation Objectives.553
A.l.3 Purpose of the Functional Specification.554
A. 1.4 Use of the Model.554
A.l.5 Hardware and Software Requirements.555
A.2 System Description and Modeling Approach .555
A.2.1 Model Timeline.555
A.2.2 Presses.555
A.2.3 Product Types.557
A.2.4 Press Packaging Lines.557
A.2.5 Tray System.557
A.2.6 Truck Arrivals.558
A.2.7 Docks.559
A.2.8 Palletizers.559
A.2.9 Manual Insertion Process.560
A.3 Animation.561
A.4 Summary of Input and Output.561
A.4.1 Model Input.561
A.4.2 Model Output.562
A.5 Project Deliverables.564
A.5.1 Simulation Model Documentation .564
A.5.2 User's Manual.564
A.5.3 Model Validation.564
A.5.4 Animation.564
A.6 Acceptance.564
Appendix B: IIE/RA Contest Problems.567
XX111
Appendix C: A Refresher on Probability and Statistics.569
C.l Probability Basics.569
C.2 Random Variables.571
C.2.1 Basics.571
C.2.2 Discrete.572
C.2.3 Continuous.574
C.2.4 Joint Distributions, Covariance, Correlation, and Independence.576
C.3 Sampling and Sampling Distributions.579
C.4 Point Estimation.581
C.5 Confidence Intervals.581
C.6 Hypothesis Tests.583
C.7 Exercises.585
Appendix D: Arena's Probability Distributions.587
Arena's Probability Distributions.587
Beta.589
Continuous.590
Discrete.592
Erlang.593
Exponential.594
Gamma.595
Johnson.596
Lognormal.597
Normal.598
Poisson.599
Triangular.600
Uniform.601
Weibull.602
Appendix E: Academic Software Installation Instructions.603
E.l Authorization to Copy Software.603
E.2 Installing the Arena Software .603
E.3 System Requirements.604
References .605
Index .609 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Kelton, W. David Sadowski, Randall P. Sturrock, David T. |
| author_facet | Kelton, W. David Sadowski, Randall P. Sturrock, David T. |
| author_role | aut aut aut |
| author_sort | Kelton, W. David |
| author_variant | w d k wd wdk r p s rp rps d t s dt dts |
| building | Verbundindex |
| bvnumber | BV021790177 |
| callnumber-first | Q - Science |
| callnumber-label | QA76 |
| callnumber-raw | QA76.9.C65 |
| callnumber-search | QA76.9.C65 |
| callnumber-sort | QA 276.9 C65 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | QH 500 ST 340 |
| classification_tum | DAT 780f |
| ctrlnum | (OCoLC)254728220 (DE-599)BVBBV021790177 |
| dewey-full | 003.3536 003/.3536 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 003 - Systems |
| dewey-raw | 003.3536 003/.3536 |
| dewey-search | 003.3536 003/.3536 |
| dewey-sort | 13.3536 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Wirtschaftswissenschaften |
| discipline_str_mv | Informatik Wirtschaftswissenschaften |
| edition | 4. ed., internat. ed. |
| format | Book |
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| illustrated | Illustrated |
| index_date | 2024-07-02T15:44:20Z |
| indexdate | 2024-09-06T00:13:36Z |
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| series2 | McGraw-Hill series in industrial engineering and management science McGraw-Hill: Higher education |
| spelling | Kelton, W. David Verfasser aut Simulation with Arena W. David Kelton ; Randall P. Sadowski ; David T. Sturrock Arena 4. ed., internat. ed. Boston, Mass. [u.a.] McGraw-Hill 2007 XXIII, 630 S. Ill., graph. Darst. CD-ROM (12 cm) txt rdacontent n rdamedia nc rdacarrier McGraw-Hill series in industrial engineering and management science McGraw-Hill: Higher education CD-ROM-Beil. u.d.T.: Arena Arena (Computer file) Simulación por computadores Computer simulation Prozesskette (DE-588)4325683-1 gnd rswk-swf Programm (DE-588)4047394-6 gnd rswk-swf Computersimulation (DE-588)4148259-1 gnd rswk-swf 1\p (DE-588)4151278-9 Einführung gnd-content Computersimulation (DE-588)4148259-1 s Programm (DE-588)4047394-6 s DE-604 Prozesskette (DE-588)4325683-1 s 2\p DE-604 Sadowski, Randall P. Verfasser aut Sturrock, David T. Verfasser aut text/html http://www.loc.gov/catdir/toc/ecip0614/2006018140.html Table of contents only HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015002840&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Kelton, W. David Sadowski, Randall P. Sturrock, David T. Simulation with Arena Arena (Computer file) Simulación por computadores Computer simulation Prozesskette (DE-588)4325683-1 gnd Programm (DE-588)4047394-6 gnd Computersimulation (DE-588)4148259-1 gnd |
| subject_GND | (DE-588)4325683-1 (DE-588)4047394-6 (DE-588)4148259-1 (DE-588)4151278-9 |
| title | Simulation with Arena |
| title_alt | Arena |
| title_auth | Simulation with Arena |
| title_exact_search | Simulation with Arena |
| title_exact_search_txtP | Simulation with Arena |
| title_full | Simulation with Arena W. David Kelton ; Randall P. Sadowski ; David T. Sturrock |
| title_fullStr | Simulation with Arena W. David Kelton ; Randall P. Sadowski ; David T. Sturrock |
| title_full_unstemmed | Simulation with Arena W. David Kelton ; Randall P. Sadowski ; David T. Sturrock |
| title_short | Simulation with Arena |
| title_sort | simulation with arena |
| topic | Arena (Computer file) Simulación por computadores Computer simulation Prozesskette (DE-588)4325683-1 gnd Programm (DE-588)4047394-6 gnd Computersimulation (DE-588)4148259-1 gnd |
| topic_facet | Arena (Computer file) Simulación por computadores Computer simulation Prozesskette Programm Computersimulation Einführung |
| url | http://www.loc.gov/catdir/toc/ecip0614/2006018140.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015002840&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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