Analysis and optimization of an industrial CIP: performance evaluation and efficiency improvement

In industrial sectors subject to stringent regulations, cleaning processes are no longer considered secondary operations, but rather essential procedures that directly influence product quality, operational efficiency and environmental performance. However conventional Cleaning-In-Place (CIP) protocols, are often designed with a highly conservative approach, leading to significant consumption of water, chemicals and time. This over dimensioned procedure is amplified in the cosmetic sector, due to the complex nature of many formulations. Cosmetic products indeed, often contain high-viscosity, lipophilic and waterproof components, that tend to strongly adhere to process surfaces, making their removal particularly challenging. The objective of this project, is therefore to develop an optimized cleaning protocol capable of overcoming these cautious practices. The work was guided by a failure mode and effects analysis (FMEA), which served as the primary guideline. The application of this methodology, enabled the identification of the critical aspects of cleaning and the direction of experimental tests at both laboratory and industrial scales, through which it was then possible to mitigate the detected vulnerabilities. The findings of the study demonstrate that the effective monitoring and analysis of key parameters, including conductivity, the Reynolds number, detergent chemical reaction mechanism, etc., while implementing experiments to determine the optimal combination of these factors, can substantially reduce both environmental impact and production downtime. Overall, this work demonstrates that a rigorous and experimentally driven approach to CIP, can transform cleaning process from a resource-intensive operation into a strategic element, that can increase a company's competitiveness.