Optimization Models for Rail Car Fleet Management 1st Edition by Milos Milenkovic, Nebojsa Bojovic 0128151556 9780128151556

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Product details:

ISBN-10 :  0128151556 

ISBN-13 :  9780128151556

Author :  Milos Milenkovic, Nebojsa Bojovic 

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.

Optimization Models for Rail Car Fleet Management 1st Table of contents:

Chapter 1: Introduction
1.1 Problem statement
1.2 Main objectives
1.3 Structure of the book
Chapter 2: Review of the models for rail freight car fleet management
Abstract
2.1 Operational models
2.2 Tactical and strategic models for freight car management
Chapter 3: Centralized and decentralized model for empty freight car scheduling
Abstract
3.1 Characteristics of decentralized managerial-control functions in the process of empty freight car allocation
3.2 Centralized network model
3.3 Solution method of triaxial transportation problem
3.4 Decentralization of the main managerial functions in the empty car allocation process
3.5 Decentralized terminal model of empty freight car allocation
3.6 Validation of the proposed model
Chapter 4: Fuzzy multiobjective rail freight car fleet composition
Abstract
4.1 The best rail freight car fleet mix problem
4.2 The best rail freight car fleet size problem
Chapter 5: Fuzzy random model for rail freight car fleet management based on optimal control theory
Abstract
5.1 Fuzzy preliminaries
5.2 Fuzzy stochastic model for rail freight car fleet sizing and allocation
5.3 Numerical experiments
5.4 Comparative analysis of the results of the fuzzy random and random model
Chapter 6: Stochastic model for heterogeneous rail freight car fleet management based on the model predictive control
Abstract
6.1 Discrete time MPC framework for rail freight car fleet sizing and allocation problem
6.2 Design variables
6.3 System performance measure and constraints
6.4 State vector estimation
6.5 Forecasting the state of rail freight cars by ARIMA-Kalman method
6.6 MPC controller
Chapter 7: Distributed and decentralized approaches for rail freight car management
Abstract
7.1 Distributed model predictive rail freight car management
7.2 Decentralized model predictive rail freight car management
7.3 Numerical example
Chapter 8: Conclusions

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Tags: Optimization Models, Rail Car, Management, Milos Milenkovic, Nebojsa Bojovic