Discrete event system simulation
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Upper Saddle River ; Munich [u.a.]
Pearson
2010
|
| Ausgabe: | 5. ed., internat. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
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| 245 | 1 | 0 | |a Discrete event system simulation |c Jerry Banks ... |
| 246 | 1 | 3 | |a Discrete-event system simulation |
| 250 | |a 5. ed., internat. ed. | ||
| 264 | 1 | |a Upper Saddle River ; Munich [u.a.] |b Pearson |c 2010 | |
| 300 | |a 640 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Simulation methods | |
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| 650 | 4 | |a Simulation methods | |
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Datensatz im Suchindex
| DE-BY-TUM_call_number | 0002 DAT 780f 2011 A 3149(5) |
|---|---|
| DE-BY-TUM_katkey | 1765630 |
| DE-BY-TUM_location | 00 |
| DE-BY-TUM_media_number | 040007360052 |
| _version_ | 1820883456036438016 |
| adam_text | Contents
Preface
11
What s New in the Fifth Edition
15
List of Materials Available on www.bcnn.net
16
About the Authors
17
I Introduction to Discrete-Event System Simulation
19
1
Introduction to Simulation
21
1.1
When Simulation Is the Appropriate Tool
22
1.2
When Simulation Is Not Appropriate
22
1.3
Advantages and Disadvantages of Simulation
23
1.4
Areas of Application
25
1.5
Some Recent Applications of Simulation
27
1.6
Systems and System Environment
30
1.7
Components of a System
30
1.8
Discrete and Continuous Systems
32
1.9
Model of a System
33
1.10
Types of Models
33
1.11
Discrete-Event System Simulation
34
1.12
Steps in a Simulation Study
34
References
39
Exercises
40
2
Simulation Examples in a Spreadsheet
42
2.1
The Basics of Spreadsheet Simulation
43
2.1.1
How to Simulate Randomness
43
Contents
5.4
Continuous
Distributions
207
5.4.1
Uniform
distribution
207
5.4.2
Exponential
distribution
209
5.4.3
Gamma distribution
212
5.4.4 Erlang
distribution
213
5.4.5
Normal distribution
215
5.4.6
Weibull distribution
222
5.4.7
Triangular
distribution
224
5.4.8
Lognormal distribution
227
5.4.9
Beta
distribution
228
5.5
Poisson
Process
229
5.5.1
Properties of
a Poisson
Process
231
5.5.2
Nonstationary Poisson
Process
232
5.6
Empirical
Distributions
234
5.7
Summary
236
References
237
Exercises
237
б
Queueing
Models
245
6.1
Characteristics of
Queueing Systems
246
.1
The Calling Population
247
.2
System Capacity
240
.3
The Arrival Process
248
6.1.4
Queue Behavior and Queue Discipline
250
6.1.5
Service Times and the Service Mechanism
250
6.2
Queueing Notation
252
6.3
Long-Run Measures of Performance of Queueing Systems
253
6.3.1
Time-Average Number in System
L
253
6.3.2
Average Time Spent in System Per Customer
w
255
6.3.3
The Conservation Equation:
Ĺ
=
kw
257
6.3.4
Server Utilization
258
6.3.5
Costs in Queueing Problems
268
6.4
Steady-State Behavior of Infinite-Population Markovian Models
265
6.4.1
Single-Server Queues with
Poisson
Arrivals and Unlimited Capacity: M/G/
1 266
6.4.2
Multiserver Queue: M/M/c/oo/oo
271
6.4.3
Multiserver Queues with
Poisson
Arrivals and Limited Capacity: M/M/c/N
/oo276
6.5
Steady-State Behavior of Finite-Population Models (M/M/c/K/K)
278
6.6
Networks of Queues
281
6.7
Rough-cut Modeling: An Illustration
283
6.8
Summary
285
References
286
Exercises
286
Contents 7
III Random Numbers
293
7
Random-Number Generation
295
7.1
Properties of Random Numbers
295
7.2
Generation of Pseudo-Random Numbers
296
7.3
Techniques for Generating Random Numbers
297
7.3.1
Linear Congruential Method
298
7.3.2
Combined Linear Congruential Generators
301
7.3.3
Random-Number Streams
303
7.4
Tests for Random Numbers
304
7.4.1
Frequency Tests
305
7.4.2
Tests for Autocorrelation
309
7.5
Summary
312
References
312
Exercises
313
8
Random-
Variate
Generation
317
8.1
Inverse-Transform Technique
318
8.1.1
Exponential Distribution
318
8.1.2
Uniform Distribution
321
8.1.3
Weibull Distribution
323
8.1.4
Triangular Distribution
323
8.1.5
Empirical Continuous Distributions
324
8.1.6
Continuous Distributions without a Closed-Form Inverse
329
8.1.7
Discrete Distributions
330
8.2
Acceptance-Rejection Technique
332
8.2.1
Poisson
Distribution
334
8.2.2
Nonstationary
Poisson
Process
339
8.2.3
Gamma Distribution
340
8.3
Special Properties
341
8.3.1
Direct Transformation for the Normal and
Lognormal
Distributions
342
8.3.2
Convolution Method
343
8.3.3
More Special Properties
345
8.4
Summary
345
References
345
Exercises
346
IV Analysis of Simulation Data
351
9
Input Modeling
353
9.1
Data Collection
354
9.2
Identifying the Distribution with Data
359
9.2.1
Histograms
359
8
Contents
9.2.2
Selecting the Family of Distributions
362
9.2.3
Quantile-Quantile Plots
365
9.3
Parameter Estimation
368
9.3.1
Preliminary Statistics: Sample Mean and Sample Variance
368
9.3.2
Suggested Estimators
370
9.4
Goodness-of-Fit Tests
376
9.4.1
Chi-Square Test
377
9.4.2
Chi-Square Test with Equal Probabilities
379
9.4.3
Kolmogorov-Smirnov Goodness-of-Fit Test
381
9.4.4
p-Values and Best Fits
383
9.5
Fitting a Nonstationary
Poisson
Process
384
9.6
Selecting Input Models without Data
385
9.7
Multivariate and Time-Series Input Models
387
9.7.1
Covariance and Correlation
388
9.7.2
Multivariate Input Models
388
9.7.3
Time-Series Input Models
390
9.7.4
The Normal-to-Anything Transformation
392
9.8
Summary
394
References
396
Exercises
397
10
Verification, Calibration, and Validation of Simulation Models
406
10.1
Model Building, Verification, and Validation
407
10.2
Verification of Simulation Models
408
10.3
Calibration and Validation of Models
413
10.3.1
Face Validity
414
10.3.2
Validation of Model Assumptions
415
10.3.3
Validating Input-Output Transformations
415
10.3.4
Input-Output Validation: Using Historical Input Data
4426
10.3.5
Input-Output Validation: Using a Turing Test
430
10.4
Summary
431
References
432
Exercises
433
11
Estimation of Absolute Performance
435
11.1
Types of Simulations with Respect to Output Analysis
436
11.2
Stochastic Nature of Output Data
439
11.3
Absolute Measures of Performance and Their Estimation
441
11.3.1
Point Estimation
441
11.3.2
Confidence-Interval Estimation
443
11.4
Output Analysis for Terminating Simulations
445
11.4.1
Statistical Background
445
11.4.2
Confidence Intervals with Specified Precision
449
11.4.3
Quantiles
451
Contents 9
11.4.4
Estimating Probabilities and Quantiles from Summary Data
452
11.5
Output Analysis for Steady-State Simulations
453
11.5.1
Initialization Bias in Steady-State Simulations
454
11.5.2
Error Estimation for Steady-State Simulation
458
11.5.3
Replication Method for Steady-State Simulations
462
11.5.4
Sample Size in Steady-State Simulations
466
11.5.5
Batch Means Method for Steady-State Simulations
467
11.5.6
Steady-State Quantiles
470
11.6
Summary
471
References
472
Exercises
473
12
Estimation of Relative Performance
481
12.1
Comparison of Two System Designs
482
12.1.1
Independent Sampling
485
12.1.2
Common Random Numbers (CRN)
486
12.1.3
Confidence Intervals with Specified Precision
492
12.2
Comparison of Several System Designs
493
12.2.1
Bonferroni Approach to Multiple Comparisons
494
12.2.2
Selection of the Best
496
12.3
Metamodeling
501
12.3.1
Simple Linear Regression
501
12.3.2
Metamodeling and Computer Simulation
507
12.4
Optimization via Simulation
509
12.4.1
What Does Optimization via Simulation Mean?
510
12.4.2
Why is Optimization via Simulation Difficult?
512
12.4.3
Using Robust Heuristics
513
12.4.4
An Illustration: Random Search
516
12.5
Summary
518
References
519
Exercises
520
V Applications
525
13
Simulation of Manufacturing and Material-Handling Systems
527
13.1
Manufacturing and Material-Handling Simulations
528
13.1.1
Models of Manufacturing Systems
528
13.1.2
Models of Material Handling Systems
530
13.1.3
Some Common Material-Handling Equipment
530
13.2
Goals and Performance Measures
532
13.3
Issues in Manufacturing and Material-Handling Simulations
533
13.3.1
Modeling Downtimes and Failures
533
13.3.2
Trace-Driven Models
537
10 Contents
13.4
Case Studies of the Simulation of Manufacturing and Material Handling
538
13.5
Manufacturing Example: An Assembly-line Simulation
541
13.5.1
System Description and Model Assumptions
541
13.5.2
Presimulation Analysis
544
13.5.3
Simulation Model and Analysis of the Designed System
545
13.5.4
Analysis of Station Utilization
545
13.5.5
Analysis of Potential System Improvements
546
13.5.6
Concluding Words: The Gizmo Assembly-Line Simulation
548
13.6
Summary
548
References
548
Exercises
549
14
Simulation of Networked Computer Systems
559
14.1
Introduction
560
14.2
Simulation Tools
562
14.2.1
Process Orientation
564
14.2.2
Event Orientation
566
14.3
Model Input
567
14.3.1
Modulated
Poisson
Process
568
14.3.2
Poisson-Pareto Process
569
14.3.3
Pareto-length Phase Time
573
14.3.4
WWW Traffic
575
14.4
Mobility Models in Wireless Systems
576
14.5
The
OSI
Stack Model
578
14.6
Physical Layer in Wireless Systems
580
14.6.1
Propagation Models
580
14.6.2
Determining the Receivers
586
14.7
Media Access Control
587
14.7.1
Token-Passing Protocols
587
14.7.2
Ethernet
591
14.8
Data Link Layer
593
14.9
TCP
594
14.10
Model Construction
601
14.10.1
Construction
601
14.10.2
DML Example
602
14.11
Summary
605
References
606
Exercises
607
Appendix
609
Index 625
|
| any_adam_object | 1 |
| building | Verbundindex |
| bvnumber | BV035713043 |
| classification_rvk | QH 444 ST 340 |
| classification_tum | DAT 780f |
| ctrlnum | (OCoLC)699136366 (DE-599)BSZ310457424 |
| dewey-full | 003.83 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 003 - Systems |
| dewey-raw | 003.83 |
| dewey-search | 003.83 |
| dewey-sort | 13.83 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Wirtschaftswissenschaften |
| edition | 5. ed., internat. ed. |
| format | Book |
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| id | DE-604.BV035713043 |
| illustrated | Illustrated |
| indexdate | 2024-12-23T22:25:43Z |
| institution | BVB |
| isbn | 9780138150372 0138150370 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-017989942 |
| oclc_num | 699136366 |
| open_access_boolean | |
| owner | DE-703 DE-M347 DE-83 DE-473 DE-BY-UBG DE-91 DE-BY-TUM DE-861 |
| owner_facet | DE-703 DE-M347 DE-83 DE-473 DE-BY-UBG DE-91 DE-BY-TUM DE-861 |
| physical | 640 S. graph. Darst. |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Pearson |
| record_format | marc |
| spellingShingle | Discrete event system simulation Simulation methods Discrete-time systems / Simulation methods Discrete-time systems Simulation methods Diskrete Simulation (DE-588)4258649-5 gnd Simulation (DE-588)4055072-2 gnd Diskretes System (DE-588)4401225-1 gnd Datenverarbeitungssystem (DE-588)4125229-9 gnd Operations Research (DE-588)4043586-6 gnd Computersimulation (DE-588)4148259-1 gnd Diskretes Ereignissystem (DE-588)4196828-1 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4258649-5 (DE-588)4055072-2 (DE-588)4401225-1 (DE-588)4125229-9 (DE-588)4043586-6 (DE-588)4148259-1 (DE-588)4196828-1 (DE-588)4056995-0 |
| title | Discrete event system simulation |
| title_alt | Discrete-event system simulation |
| title_auth | Discrete event system simulation |
| title_exact_search | Discrete event system simulation |
| title_full | Discrete event system simulation Jerry Banks ... |
| title_fullStr | Discrete event system simulation Jerry Banks ... |
| title_full_unstemmed | Discrete event system simulation Jerry Banks ... |
| title_short | Discrete event system simulation |
| title_sort | discrete event system simulation |
| topic | Simulation methods Discrete-time systems / Simulation methods Discrete-time systems Simulation methods Diskrete Simulation (DE-588)4258649-5 gnd Simulation (DE-588)4055072-2 gnd Diskretes System (DE-588)4401225-1 gnd Datenverarbeitungssystem (DE-588)4125229-9 gnd Operations Research (DE-588)4043586-6 gnd Computersimulation (DE-588)4148259-1 gnd Diskretes Ereignissystem (DE-588)4196828-1 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Simulation methods Discrete-time systems / Simulation methods Discrete-time systems Simulation methods Diskrete Simulation Simulation Diskretes System Datenverarbeitungssystem Operations Research Computersimulation Diskretes Ereignissystem Statistik |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017989942&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT banksjerry discreteeventsystemsimulation |