Discrete Event Simulations

1. Overview of Discrete Event Simulation Technologies......Page 9
2. Applications of Discrete Event Simulation in Manufacturing Sector......Page 11
3. Applications of Discrete Event Simulation in Service Sector......Page 13
4. New Opportunities for Discrete Event Simulation......Page 14
5. Conclusions......Page 15
6. References......Page 16
1.1 Background......Page 19
1.2 Previous Work......Page 20
1.3 Definitions......Page 21
2.2 Simulation Editor......Page 22
2.3 Resource Configuration Editor (RCE)......Page 23
2.5 Module Communication......Page 24
2.7 Memory and Cache......Page 25
2.8 Simulator Configuration Data File......Page 26
3.1 Overview......Page 27
3.2 Framework Structure......Page 28
3.3 Implementation of Dynamic Compilation......Page 29
3.4 Communication Between the Framework and Simulator Components......Page 30
3.5 External Modules......Page 31
3.6 Execution......Page 32
4.2 Network-on-Chip Structure and Execution......Page 33
5.1 Overview......Page 35
5.3 Branch Prediction Algorithm Comparison Experiment......Page 36
5.4 Network-on-Chip Experiment......Page 37
6.2 Conclusion......Page 39
7. References......Page 40
1. Introduction......Page 43
2.2 Dioid and max-plus algebras......Page 45
2.3 State space representation......Page 47
3.1 Methodologies......Page 48
3.3 Problems to be resolved......Page 49
4.1 Additional operators......Page 50
4.2 Assumptions and notations......Page 51
4.3 Forward type representation......Page 52
4.4 Backward type State-space representation......Page 56
4.5 The parameter matrix of the capacity constraint......Page 58
4.6 Consideration of transit times......Page 59
4.7 Duality of state-space representation......Page 60
5.1 Forward type......Page 61
5.2 Backward type......Page 63
6. Numerical Experiment......Page 65
7. Conclusion and future insights......Page 67
8. References......Page 68
1. Introduction......Page 71
2.1 The supply chain configurations examined......Page 73
2.2 The reorder process......Page 74
2.3 Software implementation......Page 78
2.4 Computation of outputs......Page 79
3. Results and discussion......Page 81
3.2 Cost of stocks......Page 82
3.5 Bullwhip effect......Page 83
4. Conclusions......Page 84
5. References......Page 85
1. Introduction......Page 87
2.1 Supply-chain management problems......Page 89
2.3 Simulation technologies appeared in Winter Simulation Conference......Page 91
3.2 Feature-Elements model......Page 95
3.4 Supply-chain Control model......Page 97
3.5 Supply-chain configurations by using schedule- and stock-driven control......Page 98
3.6 Management environment model......Page 100
3.7 Hybrid modeling framework for supply-chain system......Page 101
4.1 Supply-chain system......Page 102
4.2 System performance evaluation by using test case models......Page 103
4.3 Hybrid simulation considering management environment......Page 105
5. A life-cycle system management framework for supply-chain......Page 106
6. Conclusions and future researches......Page 107
7. References......Page 108
Optimisation of reordering points   considering purchasing, storing   and service breakdown costs......Page 113
1. Optimisation problem......Page 114
2. Problem formulation......Page 116
3.1 System DES model......Page 117
4. Implementation case......Page 119
5. Results......Page 120
7. References......Page 121
1. Introduction......Page 123
2. The EU recovery and reclamation goals......Page 124
3. The computer simulation tool......Page 129
4. Recovery/reclamation information flow......Page 131
5. Pre-treatment and dismantling shop......Page 137
6. Example remarks......Page 143
7. Conclusions......Page 145
8. References......Page 146
1. Introduction and Overview......Page 149
2.1 Elements of Service Systems......Page 150
2.2 Characteristics of Service Systems......Page 153
3. Modeling Service Systems......Page 154
3.1 Modeling Considerations......Page 155
3.2 Model Elements......Page 156
3.3 Model logic......Page 157
3.4 Model Data......Page 158
3.5 Model parameters and decision variables......Page 159
4. Example of a Single-Server simulation......Page 160
5. Simulation applications in Service Systems......Page 163
5.1 Bank simulation example......Page 164
6.2 Clinic simulation example......Page 167
7. References......Page 171
1. Introduction......Page 173
2.1 Modeled activities of surgical care......Page 175
2.2 Experimental design......Page 178
2.3 Statistical analysis......Page 181
3.2 Distribution of hospitals and patients by hospital-level factors......Page 182
3.3 Distribution of patients by patient-level factors......Page 183
3.4 Clearance times for appointment lists......Page 184
3.6 Weekly rate of surgery......Page 185
4. Discussion......Page 186
5.2 Underlying assumptions......Page 188
6. References......Page 190
Condition based maintenance optimization of  multi-equipment manufacturing systems by  combining discrete event simulation and......Page 195
1. Introduction......Page 196
2.1 System definition......Page 197
3.1 Deterioration model......Page 198
3.3 Availability model......Page 200
4. Discrete event simulation model......Page 201
4.1 Equipment modeling......Page 202
4.2 Buffer and transportation modeling......Page 204
4.3 Simulation values of the productive system......Page 205
5. The NSGA-II multiobjective evolutionary algorithm......Page 206
6. Problem formulation......Page 207
7. Results......Page 209
8. References......Page 211
1. Introduction......Page 213
2. Basic reliability theory......Page 214
3. Discrete event simulation......Page 215
3.1 Sampling events......Page 216
3.2 Updating system and criticality states......Page 217
3.3 Estimating availability and importance......Page 218
4. Numerical results......Page 219
5. Applications to importance measure estimation......Page 221
5.1 Barlow-Proschan importance measure estimation......Page 222
5.2 Natvig importance measure estimation......Page 223
5.3 Estimating importance in the bridge structure......Page 226
6. Conclusions......Page 227
7. References......Page 228
1. Introduction......Page 231
2. Simulation Framework......Page 233
3. Specialised Classes of Agents and their Cooperation Schemes......Page 237
4. Simulation Environment......Page 240
5. Experiments......Page 244
5.1 Investigation of simple adaptation of attack and defense teams......Page 245
5.2 Investigation of different, suggested in the paper,......Page 246
5.3 Investigation of cooperative defense mechanisms......Page 248
8. References......Page 252
Wireless sensor networks: modeling and simulation......Page 255
2. Wireless Sensor Network Applications......Page 256
4.2 Timed automata......Page 257
4.7 Queuing networks......Page 258
4.13 Systems theory......Page 259
5.2 The Conceptual Model......Page 260
5.7 Experimentation......Page 261
6.1 Simulation Tools and Environments......Page 262
7. Summary......Page 265
8. References......Page 266
1. Introduction......Page 271
2.1 Layout......Page 272
3. The radio channel......Page 279
4. Simulation issues......Page 283
6. References......Page 290
1. Introduction......Page 293
2. Supervisory Control of DES......Page 295
2.2 Controllable Specifications and Non-blocking Supervisor......Page 296
2.3 Timed Discrete-Event Systems......Page 298
2.4 Hierarchical Control Structure......Page 300
2.5 Hierarchical Control Action in a Two-Level Controlled DES......Page 301
4.1 DES Modelling of the Plant......Page 303
4. 2 Control Specifications......Page 304
4. 3 Design of the DES Supervisor......Page 306
4.4 Verification of the Results......Page 307
5. Hierarchical Solution......Page 308
6.1 TDES representation of the Plant......Page 309
6.2 TDES representation of Control Specifications......Page 310
6.3 Design of TDES Supervisors......Page 311
7. PLC Implementation of the Auto/Manual ULTC Supervisor......Page 312
8. Conclusions......Page 315
9. References......Page 316
1. Introduction......Page 319
2. Problem Formulation......Page 320
3. Preliminaries......Page 322
4.1 State space models with both n × n matrices diagonal......Page 324
4.2 State space models with a single 2 × 2 diagonal matrix case 1......Page 327
4.3 State space models with a single 2 2 diagonal matrix case 2......Page 329
4.4 State space models with a single n × n diagonal matrix......Page 330
5. Illustrative Example......Page 335
7. References......Page 337