We study the problem of scheduling jobs on a serial batching machine to min
imize total tardiness. Jobs of the same batch start and are completed simul
taneously and the length of a batch equals the sum of the processing times
of its jobs. When a new batch starts, a constant setup time s occurs. This
problem 1\s-batch\SigmaT(i) is known to be NP-Hard in the ordinary sense. I
n this paper we show that it is solvable in pseudopolynomial time by dynami
c programming.