Design a Predictive Control Model for a CIP System

Abstract

This document describes the analitical method to define control parameters during a clean in place (CIP) cicle in the pharamaceutical/food industry. The new models of CIP systems comes with many automatic controls and are monitored in live with a monitoring and data historian like PI. This system give us the oportunity to analize deeper the process parameters in order to identify posible failures factors during the CIP runs like the supply pressure, supply flow and return flow. For example: We can analyze the relation with supply flow and return flow with the supply pressure in order to identify and define the safest process targets and if required the alarms addition to the recipes if the cycle is found exceeding the recommended limits. Be aware prior events occurred is a challenge for the industry of this century because at most events of safety, process fails occurs, it can finish in profit looses or OSHA observations depend the case. Using data analysis on every aspect in the industry could results in more benefits for the company and also for the workers more than expected. Once establish the required process parameters based in the analyzed data we can also implement mistake proofing (Poka Jokes), additional visual aids, continuous improvement tools as required. Key Terms – Acid, Biotechnology, Caustic, Rupture disc.