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  • Port Automation and Vehicle Scheduling: Advanced Algorithms for Scheduling Problems of AGVs

    Port Automation and Vehicle Scheduling by Rashidi, Hassan; Tsang, Edward P. K.;

    Advanced Algorithms for Scheduling Problems of AGVs

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 44.99
      • 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.

        21 493 Ft (20 470 Ft + 5% VAT)
      • Discount 20% (cc. 4 299 Ft off)
      • Discounted price 17 195 Ft (16 376 Ft + 5% VAT)

    21 493 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    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.

    Short description:

    Examining the optimization problems encountered in today?s container terminals, Port Automation and Vehicle Scheduling Third Edition provides advanced algorithms for handling the scheduling of Automated Guided Vehicles (AGVs) in ports.

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    Long description:

    Container terminals are constantly being challenged to adjust their throughput capacity to match fluctuating demand. Examining the optimization problems encountered in today?s container terminals, Port Automation and Vehicle Scheduling: Advanced Algorithms for Scheduling Problems of AGVs, Third Edition provides advanced algorithms for handling the scheduling of Automated Guided Vehicles (AGVs) in ports.


    Building on the earlier editions, previously titled Vehicle Scheduling in Port Automation: Advanced Algorithms for Minimum Cost Flow Problems, this book has undergone extensive revisions and includes two new chapters. New material addresses the solutions to the modeling of decisions in Chapter 3, while in Chapter 11 the authors address an emerging challenge in automated container terminals with integrated management.


    Key Features:



    • Classifies the optimization problems of the ports into five scheduling decisions. For each decision, it supplies an overview, formulates each of the decisions as constraint satisfaction and optimization problems, and then covers possible solutions, implementation, and performance.

    • Explores in Part One of the book the various optimization problems in modern container terminals, while details in Part Two advanced algorithms for the minimum cost flow (MCF) problem and for the scheduling problem of AGVs in ports.

    • Offers complete package that can help readers address the scheduling problems of AGVs in ports.

    This is a valuable reference for port authorities and researchers, including specialists and graduate students in operation research. For specialists, it provides novel and efficient algorithms for network flow problems. For students, it supplies the most comprehensive survey of the field along with a rigorous formulation of the problems in port automation.

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    Table of Contents:

    1. Introduction


    PART 1 OPTIMIZATION PROBLEMS FACING MODERN CONTAINER TERMINALS


    2. Problems in Container Terminals


    3. Formulations of the Problems


    4. Solutions to the Decisions: Review and Suggestions


    PART 2 ADVANCED ALGORITHMS FOR THE SCHEDULING PROBLEM OF AUTOMATED GUIDED VEHICLES


    5. Vehicle Scheduling: A Minimum Cost Flow Problem


    6. Network Simplex: The Fastest Algorithm


    7. Network Simplex Plus: Complete Advanced Algorithm


    8. Dynamic Network Simplex: Dynamic Complete Advanced Algorithm


    9. Greedy Vehicle Search: An Incomplete Advanced Algorithm


    10. Multi-Load and Heterogeneous Vehicles Scheduling: Hybrid Solutions


    11. Integrated Management of Equipment in Automated Container Terminals


    12. Conclusions and Future Research


    Appendix: Information on Web

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