| dc.description.abstract | International trade is a backbone of economy as its expansion lead to the growth of the
economy. Along with opportunities and benefits, international trade also poses many
challenges to all components make it up including container terminal operation. One of
the biggest problems facing with terminal container operation is the congestions and
delays both outside the terminal which is at the gate area and inside the terminal which
is at the yard area. The congestion not only affects truck turnaround time at the terminal
but also cause harm to environment due to CO2 emission from tractors or trucks.
Fortunately, this problem can be managed by implementing trucking appointment
system (TAS) which can schedule the arrival of truck. With a limited number of trucks
in each time window, the implementation of TAS is highly likely to reduce congestion.
Therefore, this thesis aims to develop a mathematical model for truck scheduling
appointment combining with simulation model. Expected outcome of the thesis could
be a mathematical model of TAS to solve the scheduling problem and examine it in
simulation model to draw concrete conclusion about the performance of TAS. The
possible impact result from the outcomes would be better efficiency in container
terminal operation. | en_US |
