Let $(\Omega ,\Sigma ,\mu )$ be a complete probability measure space, $E$ be a
real separable Banach space, $K$ a nonempty closed convex subset of E. Let $T :
\Omega \times K \to K$, such that $\{T_i\}_{i=1}^N$, be N-uniformly
$L_i$-Lipschitzian asymptotically hemicontractive random maps of $K$ with
$F=\displaystyle\bigcap_{i=1}^N F(T_i)\ne \emptyset$. We construct an explicit
iteration scheme and prove neccessary and sufficient conditions for
approximating common fixed points of finite family of asymptotically
hemicontractive random maps.