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E-book
Author Milenkovic, Milos

Title Optimization Models for Rail Car Fleet Management / Milos Milenkovic, Nebojsa Bojovic
Published Amsterdam : Elsevier, 2020
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Description 1 online resource (286 p.)
Contents Front Cover; Optimization Models for Rail Car Fleet Management; Copyright; Contents; Biographies; Acknowledgments; Executive summary; 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; 2.1. Operational models; 2.1.1. Empty freight car inventory management problems; 2.1.2. Empty freight car distribution; 2.1.2.1. Deterministic approaches; 2.1.2.2. Stochastic approaches; 2.1.2.3. Hybrid approaches; 2.1.3. Freight car pooling concept
2.1.4. Combined allocation of empty and loaded cars2.2. Tactical and strategic models for freight car management; 2.2.1. Service network design problem; 2.2.2. Demand estimation; 2.2.2.1. Models for production and attraction; 2.2.2.2. Distribution models; 2.2.2.3. Models for modal split; 2.2.2.4. Assignment models; 2.2.3. Rail freight car fleet sizing models; Chapter 3: Centralized and decentralized model for empty freight car scheduling; 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 problem3.3.1. Basic solution; 3.3.2. Feasible solution; 3.3.3. Final solution; 3.3.4. Problem of degeneration; 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; 4.1. The best rail freight car fleet mix problem; 4.1.1. Classification of freight cars; 4.1.2. Utilization of freight cars according to their characteristics
4.1.3. Proposed problem solution4.1.3.1. The selection of relevant criteria; 4.1.3.2. Analytic Hierarchy Process; 4.1.3.3. Theoretical basics of AHP; 4.1.3.4. Mathematical basics of AHP; 4.1.3.5. Fuzzy extension of AHP method; 4.1.4. Fuzzy AHP method for the best rail freight car fleet mix problem; 4.2. The best rail freight car fleet size problem; 4.2.1. Theoretical foundations of the problem solution; 4.2.2. Fuzzy multiobjective linear programming; 4.2.3. Statement and solution of the problem
Chapter 5: Fuzzy random model for rail freight car fleet management based on optimal control theory5.1. Fuzzy preliminaries; 5.1.1. Fuzzy sets; 5.1.2. Fuzzy numbers; 5.1.3. Triangular fuzzy matrices; 5.1.4. The main features of triangular fuzzy matrices; 5.1.5. Inverse triangular fuzzy matrices; 5.1.5.1. Necessary and sufficient conditions for the invertibility of fuzzy matrices; 5.1.5.2. Application of Rohn's scheme for determining of the inverse fuzzy matrix; 5.1.6. Defuzzification of triangular fuzzy numbers; 5.1.7. Fuzzy random variables
Notes 5.2. Fuzzy stochastic model for rail freight car fleet sizing and allocation
Description based upon print version of record
Bibliography Includes bibliographical references and index
Subject Freight cars
Railroads -- Management
Freight cars.
Railroads -- Management.
Form Electronic book
Author Bojovic, Nebojsa
ISBN 0128151552
9780128151556