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    Optimization Models for Rail Car Fleet Management

    Optimization Models for Rail Car Fleet Management by Milenkovic, Milos; Bojovic, Nebojsa;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 131.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        51 168 Ft (48 732 Ft + 5% VAT)
      • Discount 20% (cc. 10 234 Ft off)
      • Discounted price 40 935 Ft (38 986 Ft + 5% VAT)
      • Discount is valid until: 30 June 2026

    51 168 Ft

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    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Publisher Elsevier Science
    • Date of Publication 7 September 2019

    • ISBN 9780128151549
    • Binding Paperback
    • No. of pages283 pages
    • Size 228x152 mm
    • Weight 450 g
    • Language English
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    Long description:

    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.

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    Table of Contents:

    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

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