Computer simulation in management science:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Chichester u.a.
Wiley
1992
|
| Ausgabe: | 3. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | XIX, 351 S. graph. Darst. |
| ISBN: | 0471934623 0471921025 |
Internformat
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| 245 | 1 | 0 | |a Computer simulation in management science |c Michael Pidd |
| 250 | |a 3. ed. | ||
| 264 | 1 | |a Chichester u.a. |b Wiley |c 1992 | |
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Datensatz im Suchindex
| _version_ | 1804119763077562368 |
|---|---|
| adam_text | Contents
Preface to third edition xvii
PART I FUNDAMENTALS OF COMPUTER SIMULATION IN
MANAGEMENT SCIENCE 1
1 The computer simulation approach 3
1.1 Models, experiments and computers 3
1.2 Models in management science 4
1.3 Simulation as experimentation 5
1.4 Why simulate? 7
1.4.1 Simulation versus direct experimentation 7
1.4.2 Simulation versus mathematical modelling 8
1.5 Key phases in computer simulation 8
1.5.1 Simulation modelling 9
1.5.2 Computing 10
1.5.3 Experimentation 12
1.6 A summary 13
Exercises 13
References 14
2 A variety of modelling approaches 1§
2.1 General considerations 15
2.2 Time handling 15
2.2.1 Time slicing 15
2.2.2 Next event technique 17
2.2.3 Time slicing or next event? 18
* 2.3 Stochastic or deterministic? 18
2.3.1 Deterministic simulation: a time slicing example 19
2.3.2 Stochastic simulation 21
viii CONTENTS 2.4. Discrete or continuous change? 25
2.4.1 Discrete change 26
2.4.2 Continuous change 26
t 2.4.3 Mixed discrete/continuous change 27
Exercises 2 7
References 28
PART II DISCRETE EVENT SIMULATION 29
3 Discrete event modelling 31
3.1 Fundamentals 31
3.2 Terminology 31
3.2.1 Objects of the system 32
3.2.2 Operations of the entities 33
3.3 Activity cycle diagrams 33
3.3.1 Example 1: a simple job shop 35
3.3.2 Example 2: the harassed booking clerk 38
3.3.3 Example 3: the delivery depot 40
3.3.4 Using the activity cycle diagram 44
3.4 Activity cycle diagrams: a caveat 45
Exercises 46
References 47
4 Event, activity and process approaches to modelling 49
4.1 General ideas 49
4.1.1 A three level hierarchy 49
4.2 The event approach 50
4.2.1 An event based executive 51
4.2.2 The harassed booking clerk: an event based model 53
4.2.3 The event approach: a summary 58
4.2 The activity approach 59
4.3.1 An activity based executive 61
4.3.2 The harassed booking clerk: an activity based model 64
4.3.3 Activity versus event based approaches 66
4.4 The process interaction approach 67
4.4.1 A process based executive 71
4.4.2 The harassed booking clerk: a process based approach 72
4.5 A comparison of these approaches 73
Exercises 74
References 75
CONTENTS ix
5 The three phase approach 77
5.1 B and C activities 77
5.1.1 Bs and Cs defined 77
5.1.2 The simple queuing example 78
5.1.3 The harassed booking clerk 79
5.2 A simple road junction 80
5.3 A general rule for states, Bs and Cs 81
5.4 A description of a simple three phase executive 82
5.4.1 Inside a three phase executive 82
5.4.2 Inside other executives 84
5.5 Implementing Bs and Cs 84
5.5.1 The Cs 85
5.5.2 The Bs 85
5.5.3 Communicating with the executive 85
5.6 The harassed booking clerk; a manual simulation 86
5.6.1 Initial conditions 86
5.6.2 First A phase (time zero) 87
5.6.3 First B phase 87
5.6.4 The first C phase 88
5.6.5 A couple more iterations 88
5.7 Writing a three phase simulation program 90
Exercises 90
Reference 91
6 Visual interactive simulation 93
6.1 Basic ideas 93
6.1.1 Changes in computing methods 93
6.1.2 Graphics 93
6.1.3 Interaction 95
6.1.4 Visual interactive modelling 95
6.2 Principles of graphical display for simulation 96
6.2.1 Basic ideas 96
6.2.2 Iconic displays 97
6.2.3 Logical displays 99
6.2.4 Chart displays 100
6.2.5 Combined displays 101
References 101
7 Model testing and validation 103
7.1 The importance of validation 103
7.1.1 The difficulty of validation 103
7.1.2 The real world, the model and observation 104
x CONTENTS 7.1.3 The hypothetico deductive approach 105
7.1.4 Validation and comparison 105
7.2 Black box validation 106
7.2.1 Black box validation: a model s predictive power 106
7.2.2 How valid? 106
7.2.3 Validation errors 107
7.2.4 Testing model components 108
7.3 White box validation 108
7.3.1 Detailed internal structure 108
7.3.2 Input distributions 108
7.3.3 Static logic 110
7.3.4 Dynamic logic 110
7.4 Type zero errors 111
7.4.1 Over elaboration 111
7.4.2 Over simplification 112
7.4.3 Steering a sensible course 112
References 112
8 Three phase simulation in Turbo Pascal 113
8.1 An overview of PasExec 113
8.1.1 Non ISO standard features 113
8.1.2 The unit structure of PasExec 114
8.2 ExecVars: variables and data structures of PasExec 115
8.3 PasExec: the main program 117
8.3.1 The APhase of PasExec 118
8.3.2 The BPhase of PasExec 118
8.3.3 The CPhase of PasExec 119
8.4 ExecUtil: utilities for the executive 119
8.5 SimGen: some useful utilities 119
8.6 Model: the heart of the simulation 120
8.7 Using PasExec for the harassed booking clerk 120
8.7.1 The entities 121
8.7.2 The Bs and Cs 122
8.7.3 Initialization and finalization 125
8.8 Modifying the harassed booking clerk program 125
8.8.1 New entities and new unit structure 128
8.8.2 Selling tickets 129
8.8.3 Handling phone calls 130
8.8.4 Lunch break 232
8.8.5 The new Bs and Cs 132
8.9 Recording statistics during a run 133
8.9.1 Recording as time series 133
8.9.2 Recording as histograms 134
8.9.3 Queue length histograms 134
CONTENTS x[
8.10 Full scale executives 136
Exercises 136
References 138
9 Graphics and interaction in three phase simulation 139
9.1 Basic principles 139
9.2 New data structures 140
9.2.1 Entities 140
9.2.2 Classes 141
9.2.3 Queues 142
9.3 A new executive 143
9.3.1 Run time displays 144
9.3.2 Interaction 145
9.4 Entities and classes 146
9.4.1 Initialization 147
9.4.2 Bs and Cs 148
9.5 Running the graphical interactive model 150
9.6 A recap 151
Exercises 151
Reference 151
10 Selecting discrete simulation software 153
10.1 General principles 153
10.2 Computer programming 154
10.2.1 Logical machines 154
10.2.2 Machine code 154
10.2.3 Assembly languages 155
10.2.4 Compilers and interpreters 155
10.3 Inside discrete simulation software 157
10.3.1 The heart of the matter 157
10.3.2 The executive 158
10.3.3 Model logic 159
10.3.4 Distribution sampling and random number generation ] 60
10.3.5 Initialization facilities 160
10.3.6 Report generation 161
10.3.7 A control shell 161
10.4 Appraising simulation software: some principles 162
10.4.1 The type of application 162
10.4.2 The expectations for end use 163
10.4.3 Knowledge, computing policy and user support 163
10.4.4 Price 164
References 164
xii CONTENTS 11 A classification of discrete simulation software 165
11.1 Types of discrete simulation software 165
11.2 Do it yourself 165
11.3 Pre written libraries 167
11.4 Simulation programming languages 168
11.4.1 Common features of simulation languages 168
11.4.2 SIMSCRIPT 170
11.4.3 ECSL 174
11.4.4 SIMULA 177
11.4.5 Pros and cons of simulation programming languages 178
11.5 Flow diagram systems 178
11.5.1 HOCUS 179
11.5.2 GPSS 180
11.6 Program generators 183
11.6.1 CAPS 184
11.6.2 General features of program generators 185
11.7 Visual interactive simulation systems 186
11.8 Visual interactive modelling systems 187
11.8.1 XCell+ 187
11.8.2 Using visual interactive modelling systems 190
References 191
12 Sampling methods 193
12.1 Random samples 193
12.2 General principles of random sampling 193
12.3 Generating random numbers 195
12.3.1 Truly random generators 195
12.3.2 Pseudo random numbers 196
12.3.3 Multiplicative congruential generators 198
12.3.4 Mixed congruential generators 199
12.4 Testing random number generators 200
12.4.1 Scatter plots 201
12.4.2 Frequency tests 203
12.4.3 Serial test 203
12.4.4 Gap test 203
12.4.5 Poker test 204
12.4.6 Other tests 204
12.5 General methods for sampling from continuous distributions 204
12.5.1 Inversion 205
12.5.2 Rejection 206
12.5.3 Composition 207
12.6 The Normal distribution 208
12.6.1 Box Muller method 208
1
CONTENTS xiii
12.6.2 Box Miiller polar method 209
12.6.3 Composition 209
12.6.4 Via the central limit theorem 210
12.7 Sampling from discrete distributions 211
12.7.1 Implicit inverse transformation 211
12.7.2 Geometric distribution 211
12.7.3 Poisson distribution 212
12.7.4 Binomial distribution 213
Exercises 213
References 214
13 Planning and interpreting discrete simulations 217
13.1 Basic ideas 217
13.1.1 Estimation and comparison 218
13.1.2 Steady state and transience 220
13.1.3 Terminating and non terminating systems 221
13.2 Lack of independence 221
13.2.1 Simple replication 2.21
13.2.2 Batching 222
13.2.3 Regenerative methods 222
13.3 Achieving steady state 222
13.3.1 Using a run in period 223
13.3.2 Using typical starting conditions 224
13.4 Variance reduction 225
13.4.1 An overview 225
13.4.2 Sampling variation 225
13.4.3 Common random numbers 227
13.4.4 Control variates 229
13.4.5 Antithetic variates 230
13.4.6 Selective and descriptive sampling 231
13.5 Experimentation 233
13.5.1 Basic ideas 233
13.5.2 A factorial experiment 234
13.5.3 Multiple comparison 237
Exercises 238
References 239
PART III SYSTEM DYNAMICS 241
14 Modelling feedback systems 243
14.1 Feedback systems 243
14.1.1 Hierarchical feedback systems: an example 243
xiv CONTENTS 14.1.2 Causal loop diagrams 245
14.1.3 Closed and open loops 246
14.2 Analysing feedback systems 248
14.2.1 Level of detail 248
14.2.2 Simulating feedback systems 248
14.3 System dynamics modelling 249
14.3.1 Delays 249
14.3.2 Levels 251
14.3.3 Rates 251
14.3.4 Policies 251
j? 14.4 The origins of system dynamics 252
v/X: References 253
15 System dynamics simulation 255
15.1 Influence diagrams 255
15.2 System dynamics models 257
15.2.1 Time handling 258
15.2.2 Level equations 259
15.2.3 Rate equations 259
15.2 A Other equation types 260
15.3 Modelling delays 260
15.3.1 First order exponential delays 261
15.3.2 Third order exponential delays 262
15.3.3 Pipeline delays 264
15.3.4 Incorporating delays into models 264
14.5 Information smoothing 264
15.4.1 Material delays 266
15.4.2 Information delays 267
15.5 Choosing a suitable value for DT 267
15.6 Computer software for system dynamics 268
15.6.1 Use a general purpose programming language 268
15.6.2 Use a spread sheet 269
15.6.3 Specialist system dynamics software 269
Exercises 270
References 271
16 System dynamics in practice 273
16.1 Associated Spares Ltd 273
16.1.1 The problem as originally posed 2 73
16.1.2 The multi echelon system 274
16.1.3 The retail branch model 274
16.1.4 The regional warehouse model 278
1
APPENDIX xv
16.1.5 The central warehouse model 278
16.1.6 The total system model 279
16.1.7 Some conclusions 281
16.1.8 A postscript 282
16.2 Dynastat Ltd 282
16.2.1 An expansion programme 282
16.2.2 The manpower problem 282
16.2.3 Recruitment 283
16.2.4 Turnover 284
16.2.5 Some effects of this structure 284
16.2.6 Validating the model 285
16.2.7 Simulation results 285
16.2.8 Predicting length of service 287
16.2.9 The value of the exercise to Dynastat 287
16.3 System dynamics in practice 288
16.3.1 Simple models 288
16.3.2 Communication 289
16.3.3 New thinking 289
16.3.4 Evolutionary involvement 290
Reference 290
Appendix 1 Listing of the Turbo Pascal units for the simple
harassed booking clerk simulation 291
Appendix 2 Listing of the Turbo Pascal units for the enhanced
harassed booking clerk simulation 311
Appendix 3 Listing of the Turbo Pascal units for the interactive
graphical harassed booking clerk simulation 327
Author index 345
Subject index 347
|
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| ctrlnum | (OCoLC)610849659 (DE-599)BVBBV005539571 |
| dewey-full | 658.4/0352 658.4/035220 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
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| dewey-sort | 3658.4 3352 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Informatik Wirtschaftswissenschaften |
| edition | 3. ed. |
| format | Book |
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| id | DE-604.BV005539571 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T16:31:21Z |
| institution | BVB |
| isbn | 0471934623 0471921025 |
| language | English |
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| publisher | Wiley |
| record_format | marc |
| spelling | Pidd, Michael Verfasser aut Computer simulation in management science Michael Pidd 3. ed. Chichester u.a. Wiley 1992 XIX, 351 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Literaturangaben Bedrijfskunde gtt Computersimulaties gtt Discrete gebeurtenissen gtt Gestion - Simulation par ordinateur ram Systeemdynamica gtt Management science -- Computer simulation Theorie (DE-588)4059787-8 gnd rswk-swf Operations Research (DE-588)4043586-6 gnd rswk-swf Management (DE-588)4037278-9 gnd rswk-swf Computersimulation (DE-588)4148259-1 gnd rswk-swf Computersimulation (DE-588)4148259-1 s Operations Research (DE-588)4043586-6 s DE-604 Management (DE-588)4037278-9 s Theorie (DE-588)4059787-8 s 1\p DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=003473817&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 |
| spellingShingle | Pidd, Michael Computer simulation in management science Bedrijfskunde gtt Computersimulaties gtt Discrete gebeurtenissen gtt Gestion - Simulation par ordinateur ram Systeemdynamica gtt Management science -- Computer simulation Theorie (DE-588)4059787-8 gnd Operations Research (DE-588)4043586-6 gnd Management (DE-588)4037278-9 gnd Computersimulation (DE-588)4148259-1 gnd |
| subject_GND | (DE-588)4059787-8 (DE-588)4043586-6 (DE-588)4037278-9 (DE-588)4148259-1 |
| title | Computer simulation in management science |
| title_auth | Computer simulation in management science |
| title_exact_search | Computer simulation in management science |
| title_full | Computer simulation in management science Michael Pidd |
| title_fullStr | Computer simulation in management science Michael Pidd |
| title_full_unstemmed | Computer simulation in management science Michael Pidd |
| title_short | Computer simulation in management science |
| title_sort | computer simulation in management science |
| topic | Bedrijfskunde gtt Computersimulaties gtt Discrete gebeurtenissen gtt Gestion - Simulation par ordinateur ram Systeemdynamica gtt Management science -- Computer simulation Theorie (DE-588)4059787-8 gnd Operations Research (DE-588)4043586-6 gnd Management (DE-588)4037278-9 gnd Computersimulation (DE-588)4148259-1 gnd |
| topic_facet | Bedrijfskunde Computersimulaties Discrete gebeurtenissen Gestion - Simulation par ordinateur Systeemdynamica Management science -- Computer simulation Theorie Operations Research Management Computersimulation |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=003473817&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT piddmichael computersimulationinmanagementscience |