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Container Terminals and Automated Transport Systems

Logistics Control Issues and Quantitative Decision Support

  • Book
  • © 2005

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Editors:
  1. Hans-Otto Günther

    1. Department of Production Management, TU Berlin, Berlin, Germany

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  2. Kap Hwan Kim

    1. Department of Industrial Engineering, Pusan National University, Pusan, Korea

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    You can also search for this editor in PubMed   Google Scholar

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About this book

Container transportation is the predominant mode of inter-continental cargo traffic. Since container ships and port terminals involve a huge capital investment and significant daily operating costs, it is of crucial importance to efficiently utilize the internal resources of container terminals and transportation systems. Today there is an ongoing trend to use automated container handling and transportation technology, in particular, in countries with high labour costs. This in turn requires highly sophisticated control strategies in order to meet the desired performance measures. The primary objective of this book is to reflect these recent developments and to present new insights and successful solutions to operational problems of automated container terminals and transportation systems. It comprises reports on the state of the art, applications of quantitative methods, as well as case studies and simulation results. Its contributions are written by leading experts from academia and business. The book addresses practitioners as well as academic researchers in logistics, transportation, and management.

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Table of contents (16 chapters)

  1. Front Matter

    Pages I-XIV
    Download chapter PDF

  2. Container Terminals

    1. Container terminal operation and operations research — a classification and literature review

      • Dirk Steenken, Stefan Voß, Robert Stahlbock
      Pages 3-49

    2. Comparison of vehicle types at an automated container terminal

      • Iris F. A. Vis, Ismael Harika
      Pages 51-77

    3. Simulation-based performance evaluation of transport vehicles at automated container terminals

      • Chang Ho Yang, Yong Seok Choi, Tae Young Ha
      Pages 79-100

    4. Generating scenarios for simulation and optimization of container terminal logistics

      • Sönke Hartmann
      Pages 101-122

    5. Fleet sizing and vehicle routing for container transportation in a static environment

      • Pyung Hoi Koo, Woon Seek Lee, Dong Won Jang
      Pages 123-139

    6. The berth allocation problem: models and solution methods

      • Yongpei Guan, Raymond K. Cheung
      Pages 141-158

    7. A scheduling method for Berth and Quay cranes

      • Young-Man Park, Kap Hwan Kim
      Pages 159-181

    8. A beam search algorithm for the load sequencing of outbound containers in port container terminals

      • Kap Hwan Kim, Jin Soo Kang, Kwang Ryel Ryu
      Pages 183-206

    9. A general framework for scheduling equipment and manpower at container terminals

      • Sönke Hartmann
      Pages 207-230

    10. Dispatching multi-load AGVs in highly automated seaport container terminals

      • Martin Grunow, Hans-Otto Günther, Matthias Lehmann
      Pages 231-255

  3. Transportation Systems

    1. Scheduling vehicles in automated transportation systems

      • Matthieu van der Heijden, Mark Ebben, Noud Gademann, Aart van Harten
      Pages 259-286

    2. Modeling of capacitated transportation systems for integral scheduling

      • Mark Ebben, Matthieu van der Heijden, Johann Hurink, Marco Schutten
      Pages 287-306

    3. Modeling and optimization of the intermodal terminal Mega Hub

      • Knut Alicke
      Pages 307-323

    4. A dispatching method for automated guided vehicles by using a bidding concept

      • Jae Kook Lim, Kap Hwan Kim, Kazuho Yoshimoto, Jun Ho Lee, Teruo Takahashi
      Pages 325-344

    5. Scheduling railway traffic at a construction site

      • Peter Brucker, Silvia Heitmann, Sigrid Knust
      Pages 345-356
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Editors and Affiliations

  • Department of Production Management, TU Berlin, Berlin, Germany

    Hans-Otto Günther

  • Department of Industrial Engineering, Pusan National University, Pusan, Korea

    Kap Hwan Kim

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