Many industrial processes must be adjusted from time to time to continuously maintain their outputs close to target. The reason for this is that such processes may be affected by disturbances produced, for example, by machines loosing their adjustment, components wearing out, and varying feed stock characteristics. Industrial control is a continual endeavor to keep measures of quality as close as possible to their target values for indefinite periods of time. This may be attained using process monitoring and process adjustment tools. Monitoring implies continually checking the desired state of the process to detect and eliminate assignable causes of variation that can send the process out of control. Adjustment implies forecasting future deviations and taking corrective actions by feedback and/or feedforward. Process control can potentially benefit by using complementary tools of process monitoring and process adjustment within the same application.

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Relationship Between Statistical and Engineering Process Control

  • Alberto Luceño

摘要

Many industrial processes must be adjusted from time to time to continuously maintain their outputs close to target. The reason for this is that such processes may be affected by disturbances produced, for example, by machines loosing their adjustment, components wearing out, and varying feed stock characteristics. Industrial control is a continual endeavor to keep measures of quality as close as possible to their target values for indefinite periods of time. This may be attained using process monitoring and process adjustment tools. Monitoring implies continually checking the desired state of the process to detect and eliminate assignable causes of variation that can send the process out of control. Adjustment implies forecasting future deviations and taking corrective actions by feedback and/or feedforward. Process control can potentially benefit by using complementary tools of process monitoring and process adjustment within the same application.