The Java simulation handbook: simulating discrete event systems with UML and Java
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Aachen
Shaker Verlag
2005
|
| Schriftenreihe: | Berichte aus der Informatik
|
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015504893&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Beschreibung: | Literaturangaben |
| Umfang: | XI, 502 Seiten Illustrationen, Diagramme 21 cm, 774 gr. |
| ISBN: | 3832237712 |
Internformat
MARC
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| 100 | 1 | |a Page, Bernd |e Verfasser |0 (DE-588)122750470 |4 aut | |
| 245 | 1 | 0 | |a The Java simulation handbook |b simulating discrete event systems with UML and Java |c Bernd Page, Wolfgang Kreutzer |
| 264 | 1 | |a Aachen |b Shaker Verlag |c 2005 | |
| 300 | |a XI, 502 Seiten |b Illustrationen, Diagramme |c 21 cm, 774 gr. | ||
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| 650 | 4 | |a Computer simulation | |
| 650 | 4 | |a Discrete-time systems |x Computer simulation | |
| 650 | 4 | |a Java (Computer program language) | |
| 650 | 4 | |a System analysis | |
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Datensatz im Suchindex
| _version_ | 1819354995429998592 |
|---|---|
| adam_text | Titel: The Java simulation handbook
Autor: Page, Bernd
Jahr: 2005
Contents
I Foundations 1
1 Introduction and Basic Terms 3
1.1 Motivation and Overview 3
1.2 Systems 4
1.3 Models 5
1.4 Simulation 9
1.5 The Modelling Cycle 12
1.6 Application 17
1.7 Potential and Limitations of Simulation 18
1.7.1 Advantages of Modelling and Simulation 18
1.7.2 Limitations of Modelling and Simulation 20
Bibliography 21
2 Basic Concepts in Discrete Event Simulation 23
2.1 Motivation and Overview 23
2.2 Discrete Event Simulation Model Components 24
2.3 Relations between Model State and Time Advance 24
2.4 Discrete Event Model Components 28
2.5 Executing a Discrete Event Simulation 29
2.6 Simulating Random Events 31
2.7 From Event to Event: A Paper and Pencil Exercise 32
Bibliography 35
3 Object-Oriented System Development and Simulation 39
3.1 Motivation and Overview 39
3.2 History Core Concepts of Object-Orientation 42
3.2.1 Some History 42
3.2.2 Core Concepts 43
3.3 Object-Oriented Analysis and Design 49
3.4 Object-Oriented Programming Tbols 53
3.5 Summary and Perspectives 54
Further Reading 56
Bibliography 57
V
Contents .
4 Simulation Model Descriptions with UML 2 59
4.1 Motivation and Overview 59
4.2 Introduction to the Unified Modelling Language 60
4.2.1 The Road to UML 2 61
4.2.2 Diagram Types and Design Principles of the UML 62
4.3 Modelling Static System Structures 65
4.4 Modelling Dynamic Behaviour 69
4.4.1 Statecharts 70
4.4.2 Activity Diagrams 77
4.5 Modelling Interactions 87
4.5.1 Sequence Diagrams of Interaction Scenarios 8$
4.5.2 High Level Sequence Diagrams 90
4.5.3 Timing Diagrams 92
Further Reading 93
Bibliography 93
5 Discrete Event Model Design 97
5.1 Motivation and Overview 97
5.2 Dominant Discrete Event Modelling Styles 98
5.2.1 Process-Oriented Simulation Modelling 98
5-2.2 Event-Oriented Simulation Modelling 108
5.2.3 Comparison and Evaluation 117
5.3 Other Modelling Styles 129
5-3.1 Transaction-Oriented Modelling 129
5.3.2 Activity-Oriented Modelling 131
5.4 Object-Oriented Model Construction 133
5.5 Combined Modelling Styles 134
5.5.1 Embedding Events in a Process-Oriented Model 134
5.5.2 Example: A Combined Process/Event Model 135
Bibliography 140
6 First Steps in Simulation Programming 143
6.1 Motivation and Overview 143
6.2 Java as a Simulation Language 144
6.2.1 General Requirements 144
6.2.2 Simulation-Specific Requirements 146
6.2.3 Advantages of Java as a Simulation Language 149
6.3 A Simple Java Class Library for Event-Oriented Simulation 149
6.3.1 Event List
6.3.2 Entities, Events, and Event Scheduling 152
VI
Contents
6.3.3 Distribution Sampling, Data Collection, and Queueing 153
6.3.4 Example 156
Further Reading 157
Bibliography 157
7 Simulation Statistics 159
7.1 Motivation and Overview 159
7.2 Creating Random Numbers 161
7.2.1 General Approach 161
7.2.2 The Java Random Number Generator 168
7.3 Estimating an Input Distribution 170
7.4 Analysing a Simulation Experiment 173
7.4.1 Repeating a Simulation Run 173
7.4.2 Stationary Model States 174
7.4.3 Warm-up Phases and Steady States 174
7.4.4 Analysing Simulation Results 179
7.5 Observing a Simulation Experiment 185
7.5.1 Independent Replications 185
7.5.2 Batch Means 186
7.5.3 Terminating and Non-Stationary Systems 188
7.6 Sample Size and Simulation Experiments 188
7.7 Choosing Good Model Parameters 189
7.8 Conclusion 191
Further Reading 192
Bibliography 192
8 Validation, Verification, and Testing of Simulation Models 195
8.1 Motivation and Overview 195
8.2 Foundations of Model Validation 197
8.2.1 Basic Terms 197
8.2.2 The Validation Process 199
8.2.3 A Philosophical View of Model Validation 203
8.2.4 Principles and Guidelines for Model Validation 205
8.2.5 Classification of Validation Techniques 210
8.3 Selected Validation Techniques 211
8.3.1 Conceptual Model Validation 212
8.3.2 Model Verification and Testing 215
8.3.3 Operational Validation of Model Behaviour 221
8.4 Summary 230
Further Reading 231
Bibliography 231
VII
Contents
II Software
9 Simulation Software 239
9.1 Motivation and Overview 239
9.2 Requirements 249
9.2.1 General Requirements 240
9.2.2 Simulation-Specific Requirements 241
9.3 Some History 243
9.4 Classification 247
9.5 Examples * - - - 251
9.5.1 Extend 252
9.5.2 eM-Plant 254
9.6 The Role of Animation 257
9.7 Criteria for. Choosing Simulation Software in Practice 259
9.8 Commercial Discrete Event Modelling Tools 260
Bibliography 261
10 DESMO-J - A Framework for Discrete Event Modelling Simulation 263
10.1 Motivation and Overview 263
10.2 Simulation with DESMO-J 266
10.2.1 The Event-Oriented World View 268
10.2.2 The Process-Oriented World View 273
10.2.3 Combining Events and Processes in a Single Model 274
10.2.4 Some Core Model Components . 276
10.3 Experimentation with DESMO-J 280
10.4 Advanced Concepts 284
10.4.1 Higher-Level Modelling Constructs 284
10.4.2 Hierarchical Modelling Constructs 291
10.4.3 Graphical Interfaces 293
10.5 Example: Modelling Container Traffic in the Baltic Sea 293
10.5.1 Model Description 293
10.5.2 An Event-Oriented Implementation 294
10.5.3 A Process-Oriented Implementation 307
10.5.4 Using Higher-Level Modelling Constructs 314
10.6 Development and Evaluation 334
Bibliography 335
VIII
Contents
III Advanced Methodology 337
11 Multi-Agent-Based Simulation (MABS) 339
11.1 Motivation and Overview 339
11.2 Multi-Agent Systems 340
11.2.1 The Agent Metaphor 340
11.2.2 Characteristics of MAS 341
11.2.3 Architectures for Agent Design 342
11.3 Different Views of Agent-Oriented Simulation 347
11.4 Foundations of Multi-Agent-Based Simulation 348
11.4.1 Applications of MABS 349
11.4.2 Comparison of Agent-Based and Classical World Views 351
11.4.3 Components of Multi-Agent-Based Simulation Models 353
11.4.4 Conceptual Modelling Methods 357
11.4.5 Tools for Agent-Based Simulation 360
11.5 Conclusion: Potentials, Limitations, and Prospects for MABS 365
Further Reading 367
Bibliography 368
12 Parallel and Distributed Simulation 373
12.1 Motivation and Overview 373
12.2 Synchronization 374
12.3 Modes of Distribution 376
12.3.1 Parallel Simulation 377
12.3.2 Component-Based Simulation. 378
12.3.3 Web-Based Simulation 380
Further Reading 382
Bibliography 383
13 Simulation-Based Optimization 387
13.1 Motivation and Overview 387
13.2 Integration of Simulation and Optimization 388
13.3 A Formal Model for Simulation-Based Optimization Problems 391
13.4 Characteristics of Simulation-Based Objective Functions 392
13.5 Genetic Algorithms 394
13.5.1 Terminology 395
13.5.2 General Strategy 395
13.5.3 Parallelization 397
Further Reading 397
Bibliography 398
IX
Contents —
IV Applications ^99
14 Simulation and E-Learning 401
14.1 Motivation and Overview 4®*
14.2 E-Learning Foundations 4^3
14.2.1 Definition 403
14.2.2 Technological Development 4^4
14.2.3 Three Theories of Learning 407
14.2.4 Requirements for the Design and Implementation of E-Learning . 410
14.3 Computer Simulation to Improve E-Learning 412
14.3.1 Simulation and Learning 412
14.3.2 Simulation and E-Learning 413
14.3.3 Simulation-Based Learning in LogEduGate 415
14.4 E-Learning to Support Simulation Learning 419
14.4.1 Using DESMO-J to Teach Simulation Courses 420
14.4.2 The DESMO-J Web Tutorial 421
14.4.3 The DESMO-J Internet Laboratory 422
14.4.4 Using Java Applets to Demonstrate Key Simulation Concepts . . 424
14.5 A Web Platform for Cooperative Teaching and Learning 427
14.6 Conclusions 429
Further Reading 430
Bibliography 431
15 Simulation and Logistics 435
15.1 Motivation and Overview 436
15.2 Introduction to Logistics 436
15.3 Modelling and Simulation in Logistics 440
15.3.1 Application of Simulation in Logistics 440
15.3.2 Logistics Simulation Tools 442
15.3.3 Simulation Experiments in Logistics Problem Solving 443
15.4 Knowledge Acquisition and Knowledge Sharing in Logistics Simulation . 446
15.4.1 Logistics Simulation Knowledge 446
15.4.2 Cooperative Knowledge Sharing in Logistics Simulation Projects 448
15.4.3 Simulation Model as Knowledge Repository 450
15.4.4 Experiment-Based Knowledge Creation 451
15.4.5 Knowledge Management and Logistics Simulation 452
15.5 Cases in Logistics Simulation
15.5.1 Simulation to Support Logistics Planning:
The Case of a Paper Store
15.5.2 Simulation to Support Modification:
The Case of a Pallet Flow System 458
15.5.3 Simulation to Support Logistics Operation:
The Case of an Order Picking System
X
Contents
15.6 Conclusions 465
Further Reading 467
Bibliography 468
16 Simulation in Practice 469
16.1 Motivation and Overview 469
16.2 Introduction 470
16.3 General Requirements for a Successful Simulation Study 472
16.4 Simulation Project Organization 477
16.4.1 Roles and Responsibilities in a Simulation Project Team 477
16.4.2 Simulation as a Consulting Service 478
16.4.3 Costs and Time Requirements for a Simulation Study 480
16.5 Methods of Data Collection 481
16.6 Typical Errors and Pitfalls in a Simulation Study 483
16.7 Conclusion 484
Further Reading 485
Bibliography 486
Authors 487
Index 493
XI
|
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| id | DE-604.BV022294789 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T12:52:07Z |
| institution | BVB |
| isbn | 3832237712 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015504893 |
| oclc_num | 156348127 |
| open_access_boolean | |
| owner | DE-Aug4 DE-523 DE-526 DE-M347 |
| owner_facet | DE-Aug4 DE-523 DE-526 DE-M347 |
| physical | XI, 502 Seiten Illustrationen, Diagramme 21 cm, 774 gr. |
| publishDate | 2005 |
| publishDateSearch | 2005 |
| publishDateSort | 2005 |
| publisher | Shaker Verlag |
| record_format | marc |
| series2 | Berichte aus der Informatik |
| spellingShingle | Page, Bernd Kreutzer, Wolfgang The Java simulation handbook simulating discrete event systems with UML and Java Analyse de systèmes - Informatique Java (Langage de programmation) Simulation par ordinateur Systèmes échantillonnés - Simulation par ordinateur UML (Informatique) Computer simulation Discrete-time systems Computer simulation Java (Computer program language) System analysis UML (Computer science) Java Programmiersprache (DE-588)4401313-9 gnd Framework Informatik (DE-588)4464685-9 gnd Diskretes Ereignissystem (DE-588)4196828-1 gnd UML 2 (DE-588)4756651-6 gnd Simulationssprache (DE-588)4137040-5 gnd Computersimulation (DE-588)4148259-1 gnd |
| subject_GND | (DE-588)4401313-9 (DE-588)4464685-9 (DE-588)4196828-1 (DE-588)4756651-6 (DE-588)4137040-5 (DE-588)4148259-1 |
| title | The Java simulation handbook simulating discrete event systems with UML and Java |
| title_auth | The Java simulation handbook simulating discrete event systems with UML and Java |
| title_exact_search | The Java simulation handbook simulating discrete event systems with UML and Java |
| title_full | The Java simulation handbook simulating discrete event systems with UML and Java Bernd Page, Wolfgang Kreutzer |
| title_fullStr | The Java simulation handbook simulating discrete event systems with UML and Java Bernd Page, Wolfgang Kreutzer |
| title_full_unstemmed | The Java simulation handbook simulating discrete event systems with UML and Java Bernd Page, Wolfgang Kreutzer |
| title_short | The Java simulation handbook |
| title_sort | the java simulation handbook simulating discrete event systems with uml and java |
| title_sub | simulating discrete event systems with UML and Java |
| topic | Analyse de systèmes - Informatique Java (Langage de programmation) Simulation par ordinateur Systèmes échantillonnés - Simulation par ordinateur UML (Informatique) Computer simulation Discrete-time systems Computer simulation Java (Computer program language) System analysis UML (Computer science) Java Programmiersprache (DE-588)4401313-9 gnd Framework Informatik (DE-588)4464685-9 gnd Diskretes Ereignissystem (DE-588)4196828-1 gnd UML 2 (DE-588)4756651-6 gnd Simulationssprache (DE-588)4137040-5 gnd Computersimulation (DE-588)4148259-1 gnd |
| topic_facet | Analyse de systèmes - Informatique Java (Langage de programmation) Simulation par ordinateur Systèmes échantillonnés - Simulation par ordinateur UML (Informatique) Computer simulation Discrete-time systems Computer simulation Java (Computer program language) System analysis UML (Computer science) Java Programmiersprache Framework Informatik Diskretes Ereignissystem UML 2 Simulationssprache Computersimulation |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015504893&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT pagebernd thejavasimulationhandbooksimulatingdiscreteeventsystemswithumlandjava AT kreutzerwolfgang thejavasimulationhandbooksimulatingdiscreteeventsystemswithumlandjava |