A flexible flowline is a generalized production model employed in a wi
de variety of manufacturing assembly applications to produce a range o
f products in small batch quanitites. The MRP systems, which are commo
nly used in such environments, lack the detail to carry out daily sche
duling. Recently, finite capacity planning tools have been suggested a
s a means of generating short-term production schedules. These tools e
mploy techniques that take a global view of the problem and are based
on static 'snapshots' of the manufacturing system. However, they ignor
e any inherent dynamics and therefore are inadequate in managing disru
ptions that can be very costly in terms of the inability to meet throu
ghput requirements and prior delivery commitments. A simulation-based
scheduler, on the contrary, is effective in accommodating the dynamic
and/or stochastic nature of the system in arriving at a sheduling solu
tion. In this paper, we introduce a simulation-based scheduler which i
s used to study a general class of parametric dispatching rules for fl
exible flowlines, under a variety of shop loading conditions. A scaled
model of an actual manufacturing system is used to study the apparent
tardiness cost based scheduling rule. The simulation-based scheduler
has the facility to model a variety of manufacturing scenarios ranging
from PCB lines to complex flexible flowlines. The scheduler is design
ed on pragmatic considerations and provides a test platform for studyi
ng static as well as dynamic scheduling rules for real manufacturing e
nvironments. It serves as an expedient to evaluating the practical eff
ectiveness of scheduling rules. Additionally, it can also be used to d
evelop detailed short-term capacity plans that form the basis for fini
te capacity scheduling.