Since their introduction in the 1960s containers represent the standard unit-load concept for international freight. Container terminals primarily serve as an interface between different modes of transportation, e.g. domestic rail or truck transportation and deep sea maritime transport. Significant gains in productivity can be achieved through advanced terminal layouts, more efficient IT-support and improved logistics control software systems, as well as automated transportation and handling equipment. The primary objective of this book is to reflect these challenges and to present new insights and successful solutions to operational problems of automated container terminals and cargo 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 and address practitioners and researchers in logistics, transportation, and management.

Container terminals and terminal operations

Container terminals
Simulation of a multiterminal system for container handling
Comparing transportation systems for inter-terminal transport at the Maasvlakte container terminals
Berth management in container terminal: The template design problem
Mathematical modelling of container transfers and storage locations at seaport terminals
An optimization model for storage yard management in transshipment hubs
Advanced methods for container stacking
Strategies for dispatching AGVs at automated seaport container terminals
Dispatching vehicles in a mega container terminal
Inventory-based dispatching of automated guided vehicles on container terminals
Deadlock handling for real-time control of AGVs at automated container terminals
Deadlock prevention for automated guided vehicles in automated container terminals
Cargo systems
The allocation of storage space for transshipment in vehicle distribution
The workload balancing problem at air cargo terminals
Simultaneous fleet assignment and cargo routing using benders decomposition
O&D revenue management in cargo airlines-a mathematical programming approach
A heuristic to solve a sea cargo revenue management problem
Collaborating freight forwarding enterprises.