|
The focus on system configuration design is to decide types,
quantitiesand purchase time of facilities. System configuration
has to accommodatethe request of throughput and cycle time as
well as capacity ramp-up schedule in the dimension of time.The
purpose of this research is to develop a decision support system
for system configuration to accord with the restrictions of
capacity ramp-up schedule, cycle time and machine numbers. The
decision support system involves three subsystem: data input,
performance measure and system configuration design. In data
input subsystem, users should input system data, toolset data,
toolset parameter, configuration plan, product data, process
data, and processing time. These data will be the foundation for
subsequent evaluation and selection. In performance measure
subsystem, this research utilized queueing models to develop a
performance measure methodology by combining the characteristics
of semiconductor fabrication. In system configuration design
subsystem, this research evolved an integer linear programming
model taking advantage of LINDO software in accordance with the
restrictions of throughput, cycle time and machine numbers.
|