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Simulation with Arena 3rd Revised edition [Multiple-component retail product]

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  • Formatas: Multiple-component retail product, 672 pages, aukštis x plotis x storis: 236x190x32 mm, weight: 1231 g, Contains 1 Hardback and 1 CD-ROM
  • Išleidimo metai: 17-Jul-2003
  • Leidėjas: McGraw Hill Higher Education
  • ISBN-10: 0072919817
  • ISBN-13: 9780072919813
Kitos knygos pagal šią temą:
Simulation with Arena 3rd Revised editionDidesnis paveikslėlis
  • Formatas: Multiple-component retail product, 672 pages, aukštis x plotis x storis: 236x190x32 mm, weight: 1231 g, Contains 1 Hardback and 1 CD-ROM
  • Išleidimo metai: 17-Jul-2003
  • Leidėjas: McGraw Hill Higher Education
  • ISBN-10: 0072919817
  • ISBN-13: 9780072919813
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9780072919813.html
The first edition of this book was the first text to be written on the Arena software, which is a very popular simulation modeling software. What makes this text the authoritative source on Arena is that it was written by the creators of Arena themselves.

The new third edition follows in the tradition of the successful first and second editions in its tutorial style (via a sequence of carefully crafted examples) and an accessible writing style. The updates include thorough coverage of the new version of the Arena software (Arena 7.01), enhanced support for Excel and Access, and updated examples to reflect the new version of software.

The CD-ROM that accompanies the book contains the Academic version of the Arena software. The software features new capabilities such as model documentation, enhanced plots, file reading and writing, printing and animation symbols.

What Is Simulation?
1(16)
Modeling
3(4)
What's Being Modeled?
4(1)
How About Just Playing with the System?
5(1)
Sometimes You Can't (or Shouldn't) Play with the System
5(1)
Physical Models
6(1)
Logical (or Mathematical) Models
6(1)
What Do You Do with a Logical Model?
6(1)
Computer Simulation
7(3)
Popularity and Advantages
7(1)
The Bad News
8(1)
Different Kinds of Simulations
9(1)
How Simulations Get Done
10(4)
By Hand
10(1)
Programming in General-Purpose Languages
11(1)
Simulation Languages
12(1)
High-Level Simulators
12(1)
Where Arena Fits In
12(2)
When Simulations Are Used
14(3)
The Early Years
14(1)
The Formative Years
14(1)
The Recent Past
15(1)
The Present
15(1)
The Future
15(2)
Fundamental Simulation Concepts
17(30)
An Example
19(3)
The System
19(2)
Goals of the Study
21(1)
Analysis Options
22(2)
Educated Guessing
22(1)
Queueing Theory
23(1)
Mechanistic Simulation
24(1)
Pieces of a Simulation Model
24(5)
Entities
24(1)
Attributes
25(1)
(Global) Variables
26(1)
Resources
26(1)
Queues
26(1)
Statistical Accumulators
27(1)
Events
27(1)
Simulation Clock
28(1)
Starting and Stopping
28(1)
Event-Driven Hand Simulation
29(7)
Outline of the Action
29(1)
Keeping Track of Things
30(2)
Carrying It Out
32(4)
Finishing Up
36(1)
Event- and Process-Oriented Simulation
36(2)
Randomness in Simulation
38(4)
Random Input, Random Output
38(1)
Replicating the Example
39(1)
Comparing Alternatives
40(2)
Overview of a Simulation Study
42(1)
Exercises
43(4)
A Guided Tour Through Arena
47(54)
Starting Up
49(2)
Exploring the Arena Window
51(6)
Opening a Model
51(1)
Basic Interaction and Pieces of the Arena Window
51(3)
Moving Around and Up and Down in the Flowchart View
54(1)
Modules
55(1)
Internal Model Documentation
56(1)
Browsing Through an Existing Model: Model 3-1
57(18)
The Create Flowchart Module
57(2)
The Entity Data Module
59(1)
The Process Flowchart Module
59(3)
The Resource Data Module
62(1)
The Queue Data Module
62(1)
Animating Resources and Queues
63(1)
The Dispose Flowchart Module
63(1)
Connecting Flowchart Modules
64(1)
Dynamic Plots
65(2)
Dressing Things Up
67(1)
Setting the Run Conditions
67(2)
Running It
69(1)
Viewing the Reports
69(6)
Building Model 3-1 Yourself
75(9)
New Model Window and Basic Process Panel
75(1)
Place and Connect the Flowchart Modules
76(1)
The Create Flowchart Module
77(1)
Displays
77(1)
The Entity Data Module
78(1)
The Process Flowchart Module
78(1)
The Resource and Queue Data Modules
79(1)
Resource Animation
79(1)
The Dispose Flowchart Module
80(1)
Dynamic Plots
80(3)
Window Dressing
83(1)
The Run > Setup Dialog Boxes
84(1)
Establishing Named Views
84(1)
More on Menus, Toolbars, Drawing, and Printing
84(9)
Menus
84(4)
Toolbars
88(3)
Drawing
91(2)
Printing
93(1)
Help!
93(1)
More on Running Models
94(1)
Summary and Forecast
95(1)
Exercises
96(5)
Modeling Basic Operations and Inputs
101(74)
Model 4-1: An Electronic Assembly and Test System
103(17)
Developing a Modeling Approach
104(1)
Building the Model
105(11)
Running the Model
116(2)
Viewing the Results
118(2)
Model 4-2: The Enhanced Electronic Assembly and Test System
120(15)
Expanding Resource Representation: Schedules and States
122(1)
Resource Schedules
122(4)
Resource Failures
126(2)
Frequencies
128(3)
Results of Model 4-2
131(4)
Model 4-3: Enhancing the Animation
135(9)
Changing Animation Queues
136(2)
Changing Entity Pictures
138(2)
Adding Resource Pictures
140(2)
Adding Variables and Plots
142(2)
Model 4-4: The Electronic Assembly and Test System with Part Transfers
144(8)
Some New Arena Concepts: Stations and Transfers
144(2)
Adding the Route Logic
146(3)
Altering the Animation
149(3)
Input Analysis: Specifying Model Parameters and Distributions
152(16)
Deterministic vs. Random Inputs
153(1)
Collecting Data
154(1)
Using Data
155(1)
Fitting Input Distributions via the Input Analyzer
156(8)
No Data?
164(2)
Nonstationary Arrival Processes
166(1)
Multivariate and Correlated Input Data
167(1)
Summary and Forecast
168(1)
Exercises
168(7)
Modeling Detailed Operations
175(80)
Model 5-1: An Automotive Maintenance and Repair Shop
178(1)
New Modeling Issues
179(5)
Multiple-Way Decisions
179(1)
Sets
180(1)
Variables and Expressions
180(1)
Submodels
181(1)
Duplicating Entities
182(1)
Holding Entities
182(1)
Statistics and Animation
182(1)
Terminating or Steady-State
183(1)
Modeling Approach
184(1)
Building the Model
185(24)
Defining the Data
186(6)
Submodel Creation
192(1)
Generate Appointment Calls
193(5)
Make Appointment
198(3)
Service Activity
201(4)
Update Performance Variables
205(3)
Control Logic
208(1)
Finding and Fixing Model Errors
209(9)
Animating the Automotive Shop Model
218(5)
Model 5-2: Enhancing the Automotive Shop Model
223(1)
New Modeling Issues for Model 5-2
223(3)
Sets and Resource Logic
223(2)
Nonstationary Arrival Process
225(1)
Building Model 5-2
226(7)
Modeling the Service Bays
226(2)
Modeling the Customer Arrivals
228(5)
Model 5-3: An (s, S) Inventory Simulation
233(14)
System Description
233(2)
Simulation Model
235(12)
Summary and Forecast
247(1)
Exercises
247(8)
Statistical Analysis of Output from Terminating Simulations
255(28)
Time Frame of Simulations
258(1)
Strategy for Data Collection and Analysis
258(2)
Confidence Intervals for Terminating Systems
260(5)
Comparing Two Alternatives
265(3)
Evaluating Many Alternatives with the Process Analyzer (PAN)
268(7)
Searching for an Optimal Alternative with OptQuest
275(3)
Summary and Forecast
278(1)
Exercises
279(4)
Intermediate Modeling and Steady-State Statistical Analysis
283(36)
Model 7-1: A Small Manufacturing System
285(19)
New Arena Concepts
286(2)
The Modeling Approach
288(1)
The Data Modules
289(2)
The Logic Modules
291(7)
Animation
298(2)
Verification
300(4)
Statistical Analysis of Output from Steady-State Simulations
304(9)
Warm-Up and Run Length
304(4)
Truncated Replications
308(1)
Batching in a Single Run
309(3)
What To Do?
312(1)
Other Methods and Goals for Steady-State Statistical Analysis
313(1)
Summary and Forecast
313(1)
Exercises
313(6)
Entity Transfer
319(34)
Types of Entity Transfers
321(2)
Model 8-1: The Small Manufacturing System with Resource-Constrained Transfers
323(4)
The Small Manufacturing System with Transporters
327(14)
Model 8-2: The Modified Model 8-1 for Transporters
328(7)
Model 8-3: Refining the Animation for Transporters
335(6)
Conveyors
341(9)
Model 8-4: The Small Manufacturing System with Nonaccumulating Conveyors
344(5)
Model 8-5: The Small Manufacturing System with Accumulating Conveyors
349(1)
Summary and Forecast
350(1)
Exercises
350(3)
A Sampler of Further Modeling Issues and Techniques
353(46)
Modeling Conveyors Using the Advanced Transfer Panel
355(6)
Model 9-1: Finite Buffers at Stations
356(4)
Model 9-2: Parts Stay on Conveyor During Processing
360(1)
More on Transporters
361(2)
Entity Reneging
363(8)
Entity Balking and Reneging
363(1)
Model 9-3: A Service Model with Balking and Reneging
363(8)
Holding and Batching Entities
371(7)
Modeling Options
371(1)
Model 9-4: A Batching Process Example
372(6)
Overlapping Resources
378(12)
System Description
378(2)
Model 9-5: A Tightly Coupled Production System
380(7)
Model 9-6: Adding Part-Status Statistics
387(3)
A Few Miscellaneous Modeling Issues
390(2)
Guided Transporters
390(1)
Parallel Queues
390(2)
Decision Logic
392(1)
Exercises
392(7)
Arena Integration and Customization
399(58)
Model 10-1: Reading and Writing Data Files
401(17)
Model 10-2: Reading Entity Arrivals from a Text File
403(4)
Model 10-3 and Model 10-4: Reading and Writing Access and Excel Files
407(8)
Advanced Reading and Writing
415(3)
VBA in Arena
418(12)
Overview of ActiveX Automation and VBA
418(2)
Built-in Arena VBA Events
420(4)
Arena's Object Model
424(3)
Arena's Macro Recorder
427(3)
Model 10-5: Presenting Arrival Choices to the User
430(11)
Modifying the Creation Logic
430(2)
Designing the VBA UserForm
432(2)
Displaying the Form and Setting Model Data
434(7)
Model 10-6: Recording and Charting Model Results in Microsoft Excel
441(7)
Setting Up Excel at the Beginning of the Run
442(3)
Storing Individual Call Data Using the VBA Module
445(2)
Charting the Results and Cleaning Up at the End of the Run
447(1)
Creating Modules Using the Arena Professional Edition: Template 10-1
448(7)
The Create from File Module
449(1)
The Template Source File: Template 10-01.tpl
450(1)
The Panel Icon and User View
451(1)
The Module Logic and Operands
451(3)
Uses of Templates
454(1)
Summary and Forecast
455(1)
Exercises
456(1)
Continuous and Combined Discrete/Continuous Models
457(38)
Modeling Simple Discrete/Continuous Systems
460(7)
Model 11-1: A Simple Continuous System
460(3)
Model 11-2: Interfacing Continuous and Discrete Logic
463(4)
Model 11-3: A Coal-Loading Operation
467(14)
System Description
468(1)
Modeling Approach
469(2)
Building the Model
471(10)
Continuous State-Change Systems
481(9)
Model 11-4: A Soaking-Pit Furnace
481(1)
Modeling Continuously Changing Rates
482(1)
Arena's Approach for Solving Differential Equations
483(1)
Building the Model
484(4)
Defining the Differential Equations Using VBA
488(2)
Summary and Forecast
490(1)
Exercises
491(4)
Further Statistical Issues
495(32)
Random-Number Generation
497(6)
Generating Random Variates
503(4)
Discrete
503(2)
Continuous
505(2)
Nonstationary Poisson Processes
507(1)
Variance Reduction
508(9)
Common Random Numbers
509(6)
Other Methods
515(2)
Sequential Sampling
517(7)
Terminating Models
517(5)
Steady-State Models
522(2)
Designing and Executing Simulation Experiments
524(1)
Exercises
524(3)
Conducting Simulation Studies
527(20)
A Successful Simulation Study
529(3)
Problem Formulation
532(1)
Solution Methodology
533(1)
System and Simulation Specification
534(4)
Model Formulation and Construction
538(2)
Verification and Validation
540(3)
Experimentation and Analysis
543(1)
Presenting and Preserving the Results
544(1)
Disseminating the Model
545(2)
Appendix A: A Functional Specification for The Washington Post
547(16)
A.1 Introduction
549(2)
A.1.1 Document Organization
549(1)
A.1.2 Simulation Objectives
549(1)
A.1.3 Purpose of the Functional Specification
550(1)
A.1.4 Use of the Model
550(1)
A.1.5 Hardware and Software Requirements
551(1)
A.2 System Description and Modeling Approach
551(6)
A.2.1 Model Timeline
551(1)
A.2.2 Presses
551(2)
A.2.3 Product Types
553(1)
A.2.4 Press Packaging Lines
553(1)
A.2.5 Tray System
553(1)
A.2.6 Truck Arrivals
554(1)
A.2.7 Docks
555(1)
A.2.8 Palletizers
555(1)
A.2.9 Manual Insertion Process
556(1)
A.3 Animation
557(1)
A.4 Summary of Input and Output
557(3)
A.4.1 Model Input
557(1)
A.4.2 Model Output
558(2)
A.5 Project Deliverables
560(1)
A.5.1 Simulation Model Documentation
560(1)
A.5.2 User's Manual
560(1)
A.5.3 Model Validation
560(1)
A.5.4 Animation
560(1)
A.6 Acceptance
560(3)
Appendix B: IIE/RS Contest Problems
563(34)
B.1 First Annual Contest: The SM Superstore
565(2)
B.2 Second Annual Contest: The SM Market
567(3)
B.3 Third Annual Contest: Sally Model's SM Pizza Shop
570(4)
B.4 Fourth Annual Contest: SM Office Repair
574(2)
B.5 Fifth Annual Contest: SM Rental
576(3)
Sixth Annual Contest: SM Theme Parks
579(4)
Seventh Annual Contest: SM Testing
583(6)
Eighth Annual Contest: SM Travel
589(4)
Ninth Annual Contest: SM Electronics
593(4)
Appendix C: A Refresher on Probability and Statistics
597(20)
C.1 Probability Basics
599(2)
C.2 Random Variables
601(8)
C.2.1 Basics
601(1)
C.2.2 Discrete
602(2)
C.2.3 Continuous
604(2)
C.2.4 Joint Distributions, Covariance, Correlation, and Independence
606(3)
C.3 Sampling and Sampling Distributions
609(2)
C.4 Point Estimation
611(1)
C.5 Confidence Intervals
611(2)
C.6 Hypothesis Tests
613(2)
C.7 Exercises
615(2)
Appendix D: Arena's Probability Distributions
617(18)
Arena's Probability Distributions
619(2)
Beta
621(1)
Continuous
622(2)
Discrete
624(1)
Erlang
625(1)
Exponential
626(1)
Gamma
627(1)
Johnson
628(1)
Lognormal
629(1)
Normal
630(1)
Poisson
631(1)
Triangular
632(1)
Uniform
633(1)
Weibull
634(1)
Appendix E: Academic Software Installation Instructions
635(4)
E.1 Authorization to Copy Software
637(1)
E.2 Installing the Arena Software
637(1)
E.3 System Requirements
638(1)
References 639(6)
Index 645