Milos Milenkovic, Nebojsa Bojovic

Optimization Models for Rail Car Fleet Management (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

• Summarizes the authors past research efforts in the field of rail freight car fleet management
• Presents various approaches that include the application of a variety of optimization techniques
• Contains centralized, decentralized, distributed perspectives considered under the assumption of deterministic, stochastic, fuzzy and fuzzy stochastic parameters

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 283
• Erscheinungstermin: 9. September 2019
• Englisch
• ISBN-13: 9780128151556
• Artikelnr.: 61687996

Autorenporträt

Milos Milenkovic is Assistant Professor at The Faculty of Transport and Traffic Engineering, University of Belgrade, Serbia and Research Fellow at the MIT-Zaragoza International Logistics Program, Zaragoza, Spain. Dr. Milenkovic has a Ph.D. degree of Technical Sciences in the field of Traffic and Transportation with a focus on rail freight car scheduling and fleet sizing problems, Magisterial degree of Technical Sciences with a focus on train dispatching problems and M.Sc. degree based on railway related intelligent transportation systems from the Faculty of Transport and Traffic Engineering, University of Belgrade, Serbia. Dr. Milenkovic¿s main research areas are mathematical optimization, model predictive control theory, time series analysis, project management and engineering economy with a special focus on transport related applications. He was engaged as the member of editorial board of a number of scientific conferences and also as a reviewer of a number of prestigious peer-reviewed journals, like ¿Transportation Research Part C¿, ¿Transportation Research Part E¿, ¿Applied Mathematical Modelling¿, "International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems¿ and others. During his career Dr Milenkovic published more than fifty papers in journals as well as on scientific conferences. Dr. Milenkovic has also been employed for two years in Public Enterprise ¿Serbian Railways¿ as a leading engineer for traffic organization and timetable construction.

Inhaltsangabe

1. Introduction2. Review of the models for rail freight car fleet management3. Centralized and decentralized Model for empty freight car scheduling4. Fuzzy multiobjective rail freight car fleet composition5. Fuzzy random model for rail freight car fleet management based on optimal control theory6. Stochastic model for heterogeneous rail freight car fleet management based on the model predictive control7. Distributed and decentralized approaches for rail freight car management8. Conclusions