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In this paper we present a new scheduling rule for minimizing the number of tardy jobs in a dynamic flow shop consisting of m machines. Jobs with processing times and due dates randomly arrive to the system. We assume that job arrival or release dates are not known in advance. The new rule is derived by dividing the m machine problem into several one-machine sub-problems, and optimally solving each...