There exists a growing realization that quality will be gained by implementing statistical process control and engineering process control in a complementary fashion. This study continues in that direction by considering the batch polymerization example of Vander Wiel et at, but it assumes no knowledge about the dynamics of process. It concurrently the special-cause control chart and simultaneous perturbation stochastic approximation (SPSA)-based control approach proposed by Spall and Cristion to monitor, signal and readjust the levels of viscosity of simulated batches of polymer around the target value. This study also compares the performance of the SPSA-based adaptive control and one-step feedback controller when the process dynamics changes.