The GI/M/1 queueing system was long ago studied by considering the embedded
discrete-time Markov chain at arrival epochs and was proved to have remark
ably simple product-form stationary distributions both at arrival epochs an
d in continuous time. Although this method works well also in several varia
nts of this system, it breaks down when customers arrive in batches. The re
sulting GI(x)/M/1 system has no tractable stationary distribution. In this
paper we use a recent result of Miyazawa and Taylor (1997) to obtain a stoc
hastic upper bound for the GI(x)/M/1 system. We also introduce a class of c
ontinuous-time Markov chains which are related to the original GI(x)/M/1 em
bedded Markov chain that are shown to have modified geometric stationary di
stributions. We use them to obtain easily computed stochastic lower bounds
for the GI(x)/M/1 system. Numerical studies demonstrate the quality of thes
e bounds.