Handbook of simulation Principles, methodology, advances, applications and practice

Principles of simulation, cap.1 Principles of simulation modeling, cap.2 Input data analysis, cap.3 Randon number generation, cap.4 Random variate generation, cap.5 Experimental design for sensitivity analysis, optimization and validation of simulation models, cap.6 Output data analysis, cap.7 Comparing systems via simulation, cap.8 Simulation optimization, cap.9 Verification, validation and testing, cap.10 Object-oriented simulation, cap.11 Parallel and distributed simulation, cap.12 On-line simulation: Need and evolving research requirements, cap.13 Simulation of manufacturing and material handling systems, cap.14 Simulation in the automobile industry, cap.15 Simulation of logistics and transportation systems, cap.16 Simulation of healthcare, cap.17 Simulation of service systems, cap.18 Military simulation, cap.19 Discrete-event simulation of computer and communication systems, cap.20 Simulation and scheduling, cap.21 Guidelines for sucess, cap.22 Managing the simulation project, cap.23 How discrete-event simulation software works, cap.24 Software for simulation, cap.25