Bibliographic citations
Palma, E., Ruiz, C. (2023). Propuesta de mejora para la reducción del tiempo de limpieza del tipo CIP en una línea de llenado de bebidas alcohólicas usando la metodología ECRS [Trabajo de Suficiencia Profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/671770
Palma, E., Ruiz, C. Propuesta de mejora para la reducción del tiempo de limpieza del tipo CIP en una línea de llenado de bebidas alcohólicas usando la metodología ECRS [Trabajo de Suficiencia Profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2023. http://hdl.handle.net/10757/671770
@misc{renati/413265,
title = "Propuesta de mejora para la reducción del tiempo de limpieza del tipo CIP en una línea de llenado de bebidas alcohólicas usando la metodología ECRS",
author = "Ruiz Arrieta, Carla Valeria",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2023"
}
The food and beverage production industry is subject to strict health regulations that require its production processes to maintain a level of safety in terms of cleanliness and microbial load that is safe for the end consumer. The cleaning and disinfection processes that are responsible for this task can be carried out with or without the need to disassemble the production lines. The most used and everyday process is called CIP (Cleaning In Place), this process requires a balanced combination of four components that are temperature, time, chemical action and mechanical cleaning action. This work seeks to reduce the current time of a CIP process in a glass beer bottle filling line, seeking to redesign the process by modifying the interaction of its four components, through a detailed analysis using the 5W1H methodology, in order to identify each of its steps and through the ECRS methodology identify which elements are possible to Eliminate, Combine, Reorganize or Simplify. The redesign proposed as a result of this work identifies the principle of chemical action as the main cause of the current time, considered excessive, and manages to reduce machine downtime by 45.2%, achieving a 1.98% increase in production.
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