This paper presents a feedback control design and a statistical quality/process control (SQC/SPC) system implementable in real time via distributed control systems to provide a quality product. A case study is examined using a simulated paper production process, specifically, control of cross-directional basis weight of paper. As a model of the process, the paper variance is partitioned into its machine directional, cross-directional, and random components. Pole placement and Smith Predictor techniques are used to control the paper cross-directional profile. The proposed control scheme generates and implements the supervisory setpoint corrections for the cross-directional basis weight control. A distributed control hardware and distributed functional algorithms are utilized . Such a proposed system provides supervisory corrections during the production process prior to final measurements for feedback control for a quality product.