Successful simulation: a practical approach to simulation projects
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
London [u.a.]
McGraw-Hill
1994
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XIX, 246 S. graph. Darst. |
| ISBN: | 0077076222 |
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MARC
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Record in the Search Index
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| adam_text | Contents Preface • xiii
Acknowledgements xvii
Trademarks xix
PART ONE BACKGROUND TO SIMULATION PROJECTS 1
1 Simulation, benefits and applications 3
1.1 Simulation 3
1.2 Visual interactive simulation (VIS) and
visual interactive modelling (VIM) 4
1.3 Why simulate? 6
1.4 Simulation applications 9
1.5 Awareness and education 11
Summary 11
2 Selection of projects, tools and teams 13
2.1 Project selection 13
2.2 Selecting simulation software 14
2.3 Selecting hardware 20
2.4 Additional software 20
2.5 Team selection 21
2.6 Aspects of justification 24
Conclusion 26
Summary 26
3 Simulation projects: an overview 28
3.1 Phases in a simulation project 29
3.2 Project time scales 35
3.3 Communicate the outline plan 36
vii
Conclusion 37
Summary 37
PART TWO PROBLEM DEFINITION 39
4 Objectives 41
4.1 Why have objectives? 41
4.2 What is an objective? 42
4.3 Setting the objectives 45
4.4 General project objectives 47
Conclusion 48
Summary 48
Introduction to the case studies 49
Case study 4.1: Panorama Televisions 49
Case study 4.2: Natland Bank 53
5 Experimental factors and reports 55
5.1 Experimental factors 56
5.2 Identifying the reports 59
5.3 Methods of reporting 60
5.4 Viewing the reports 68
Conclusion 69
Summary 69
Case study 5.1: Panorama Televisions 71
Case study 5.2: Natland Bank 72
6 The conceptual model: scope and level 73
6.1 Scope and level of the model 74
6.2 Conceptual modelling: deciding upon the scope and level 74
6.3 Methods of simplification: scope and level reduction 78
Conclusion 82
Summary 83
Case study 6.1: Panorama Televisions 83
Case study 6.2: Natland Bank 85
7 Data collection and analysis 87
7.1 Data requirements 87
7.2 Methods of data entry 88
7.3 Data categories 89
7.4 Handling data changes 93
7.5 Modelling randomness 93
Conclusion 110
Summary HO
Case study 7.1: Panorama Televisions 113
Case study 7.2: Natland Bank 114
8 The project specification 115
8.1 Why provide a project specification? 116
8.2 The structure of the specification 117
8.3 Communicating the specification 118
8.4 Handling changes to the specification 119
Conclusion 120
Summary 120
Case study 8.1: Panorama Televisions 121
Case study 8.2: Natland Bank 124
PART THREE MODEL BUILDING AND TESTING 127
9 Structuring and building the model 129
9.1 Structuring the model 129
9.2 Model building 130
Conclusion 138
Summary 138
10 Model validation 140
10.1 Validity and credibility 140
10.2 Methods of validation 141
10.3 Validating the general project objectives 145
10.4 Testing the sensitivity to unobtainable (category C) data 145
Conclusion 147
Summary 147
Case study 10.1: Panorama Televisions 148
Case study 10.2: Natland Bank 149
PART FOUR EXPERIMENTATION 153
11 Experimentation 155
11.1 Types of simulation model 156
11.2 Methods of experimentation 157
11.3 Warm up and starting conditions 158
11.4 Multiple replications and long runs 162
11.5 Variance reduction 168
11.6 Simulation and operational planning 169
Conclusion 169
Summary 169
Case study 11.1: Panorama Televisions 111
Case study 11.2: Natland Bank 175
12 Performing experiments and analysing the results 178
12.1 Performing experiments 178
12.2 Results analysis 183
12.3 Sensitivity analysis 186
Conclusion 186
Summary 187
Case study 12.1: Panorama Televisions 187
Case study 12.2: Natland Bank 190
PART FIVE PROJECT COMPLETION AND
IMPLEMENTATION 195
13 Project completion and implementation 197
13.1 Communicating the results 198
13.2 Implementing the recommendations 199
13.3 Completing the documentation 201
13.4 Reviewing the project 202
13.5 Performing further simulation work 203
Conclusion 203
Summary 203
Case study 13.1: Panorama Televisions 205
Case study 13.2: Natland Bank 207
PART SIX STATISTICAL METHODS IN SIMULATION 211
14 Statistical methods in simulation 213
14.1 General terminology 213
14.2 Testing the fit of distributions: the chi square test 214
14.3 Choosing a warm up period: Welch s method 217
14.4 Assessing the accuracy of point estimates: confidence intervals 221
14.5 Comparing alternatives: visual inspection of confidence
intervals 224
Conclusion 224
Summary 225
Epilogue 227
APPENDICES 229
Appendix 1 Simulation societies and journals 231
Appendix 2 Panorama Televisions and Natland Bank model data 233
Appendix 3 Statistical tables 237
A3.1 Chi square distribution 238
A3.2 Student s ^ distribution 239
Further reading 241
Index 244
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| illustrated | Illustrated |
| indexdate | 2024-07-09T18:29:03Z |
| institution | BVB |
| isbn | 0077076222 |
| language | English |
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| physical | XIX, 246 S. graph. Darst. |
| publishDate | 1994 |
| publishDateSearch | 1994 |
| publishDateSort | 1994 |
| publisher | McGraw-Hill |
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| spelling | Robinson, Stewart Verfasser aut Successful simulation a practical approach to simulation projects Stewart Robinson London [u.a.] McGraw-Hill 1994 XIX, 246 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Management - Decision making - Use of - Computers Productiemanagement gtt Simulatiemodellen gtt Production management Simulations methods Simulation methods HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008501582&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Robinson, Stewart Successful simulation a practical approach to simulation projects Management - Decision making - Use of - Computers Productiemanagement gtt Simulatiemodellen gtt Production management Simulations methods Simulation methods |
| title | Successful simulation a practical approach to simulation projects |
| title_auth | Successful simulation a practical approach to simulation projects |
| title_exact_search | Successful simulation a practical approach to simulation projects |
| title_full | Successful simulation a practical approach to simulation projects Stewart Robinson |
| title_fullStr | Successful simulation a practical approach to simulation projects Stewart Robinson |
| title_full_unstemmed | Successful simulation a practical approach to simulation projects Stewart Robinson |
| title_short | Successful simulation |
| title_sort | successful simulation a practical approach to simulation projects |
| title_sub | a practical approach to simulation projects |
| topic | Management - Decision making - Use of - Computers Productiemanagement gtt Simulatiemodellen gtt Production management Simulations methods Simulation methods |
| topic_facet | Management - Decision making - Use of - Computers Productiemanagement Simulatiemodellen Production management Simulations methods Simulation methods |
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