
CCR applied its
simulation and optimization expertise to solve a resource scheduling problem at a major
container shipping terminal. This terminal is comprised of six marshaling yards with
resources that include over 70,000 shipping containers, and several hundred tractors, and
about one hundred yard and quay cranes. The challenge was to develop schedules for these
resources that optimize container throughput. This is complicated by the fact that
unanticipated events can arise at any time that make it necessary to recompute schedules
in real-time.
Our approach was to synchronize asset activities over a fixed time horizon, while
constantly monitoring for events that result in schedule modifications. The system
continuously optimizes the schedule given current state information and future demand
forecasts. This technique has resulted in container throughput improvement
rates between 10 and 20 percent.
© Copyright 1998, Commonwealth Computer Research, Inc. All rights reserved.