In this paper two solution methods to the MAP(t)/PH(t)/1/K queueing mo
del are introduced, one based on the Backwards Euler Method and the ot
her on the Uniformization Method. Both methods use finite-differencing
with a discretized, adaptive time-mesh to obtain time-dependent value
s for the entire state probability vector. From this vector, most perf
ormance parameters such as expected waiting time and expected number i
n the system can be computed. Also presented is a technique to compute
the entire waiting (sojourn) time distribution as a function of trans
ient time. With these two solution methods one can examine any transie
nt associated with the MAP(t)/PH(t)/1/K model including time-varying a
rrival and/or service patterns. Four test cases are used to demonstrat
e the effectiveness of these methods. Results from these cases indicat
e that both methods provide fast and accurate solutions to a wide rang
e of transient scenarios.