Simulation modeling and analysis /
I tiakina i:
| Kaituhi matua: | |
|---|---|
| Ētahi atu kaituhi: | |
| Hōputu: | Pukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Boston :
McGraw-Hill,
2000.
|
| Putanga: | 3rd ed. |
| Rangatū: | McGraw-Hill series in industrial engineering and management science.
|
| Ngā marau: | |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
Rārangi ihirangi:
- Ch. 1. Basic Simulation Modeling
- Ch. 2. Modeling Complex Systems
- Ch. 3. Simulation Software
- Ch. 4. Review of Basic Probability and Statistics
- Ch. 5. Building Valid, Credible, and Appropriately Detailed Simulation Models
- Ch. 6. Selecting Input Probability Distributions
- Ch. 7. Random-Number Generators
- Ch. 8. Generating Random Variates
- Ch. 9. Output Data Analysis for a Single System
- Ch. 10. Comparing Alternative System Configurations
- Ch. 11. Variance-Reduction Techniques
- Ch. 12. Experimental Design, Sensitivity Analysis, and Optimization
- Ch. 13. Simulation of Manufacturing Systems.