Optimization Models for Rail Car Fleet Management represents the result of multi-year efforts to provide readers with insights into one of the most important areas of railway transport management. The book covers mathematical procedures for the effective and efficient utilization of railway freight cars, developed models for optimization methods, heterogeneity and partial substitutability of freight cars, research and development in rail freight car fleet management models, and the stochastic and dynamic nature of the supply, demand and traveling time of freight cars, among other topics.
1. Chapter 1: Introduction - p. xi 2. Chapter 2: Review of the models for rail freight car fleet management - p. 6 3. Chapter 3: Centralized and decentralized model for empty freight car scheduling - p. 57 4. Chapter 4: Fuzzy multiobjective rail freight car fleet composition - p. 84 5. Chapter 5: Fuzzy random model for rail freight car fleet management based on optimal control theory - p. 120 6. Abstract - p. 121 7. 5.1 Fuzzy preliminaries - p. 122 8. 5.2 Fuzzy stochastic model for rail freight car fleet sizing and allocation - p. 135 9. 5.3 Numerical experiments - p. 164 10. 5.4 Comparative analysis of the results of the fuzzy random and random model - p. 168 11. Chapter 6: Stochastic model for heterogeneous rail freight car fleet management based on the model predictive control - p. 172 12. Abstract - p. 173 13. 6.1 Discrete time MPC framework for rail freight car fleet sizing and allocation problem - p. 174 14. 6.2 Design variables - p. 175 15. 6.3 System performance measure and constraints - p. 181 16. 6.4 State vector estimation - p. 184 17. 6.5 Forecasting the state of rail freight cars by ARIMA-Kalman method - p. 185 18. 6.6 MPC controller - p. 198 19. Chapter 7: Distributed and decentralized approaches for rail freight car management - p. 229 20. Chapter 8: Conclusions - p. 249 21. References - p. 253 22. Index - p. 263
Optimization Models for Rail Car Fleet Management represents the result of multi-year efforts to provide readers with insights into one of the most important areas of railway transport management. The book covers mathematical procedures for the effective and efficient utilization of railway freight cars, developed models for optimization methods, heterogeneity and partial substitutability of freight cars, research and development in rail freight car fleet management models, and the stochastic and dynamic nature of the supply, demand and traveling time of freight cars, among other topics.
1. Chapter 1: Introduction - p. xi 2. Chapter 2: Review of the models for rail freight car fleet management - p. 6 3. Chapter 3: Centralized and decentralized model for empty freight car scheduling - p. 57 4. Chapter 4: Fuzzy multiobjective rail freight car fleet composition - p. 84 5. Chapter 5: Fuzzy random model for rail freight car fleet management based on optimal control theory - p. 120 6. Abstract - p. 121 7. 5.1 Fuzzy preliminaries - p. 122 8. 5.2 Fuzzy stochastic model for rail freight car fleet sizing and allocation - p. 135 9. 5.3 Numerical experiments - p. 164 10. 5.4 Comparative analysis of the results of the fuzzy random and random model - p. 168 11. Chapter 6: Stochastic model for heterogeneous rail freight car fleet management based on the model predictive control - p. 172 12. Abstract - p. 173 13. 6.1 Discrete time MPC framework for rail freight car fleet sizing and allocation problem - p. 174 14. 6.2 Design variables - p. 175 15. 6.3 System performance measure and constraints - p. 181 16. 6.4 State vector estimation - p. 184 17. 6.5 Forecasting the state of rail freight cars by ARIMA-Kalman method - p. 185 18. 6.6 MPC controller - p. 198 19. Chapter 7: Distributed and decentralized approaches for rail freight car management - p. 229 20. Chapter 8: Conclusions - p. 249 21. References - p. 253 22. Index - p. 263
