Cosmetica Labs Inc. is seeking to enhance the operational efficiency and reliability of their NORDEN filler machines by gaining a deeper understanding of their critical parameters and alarm systems. The project aims to identify and analyze the key parameters that influence the performance of the NORDEN filler, as well as to understand the alarm triggers that indicate potential issues. By doing so, the team will help in optimizing the machine's operation and minimizing downtime. This project provides an opportunity for learners to apply their knowledge of mechanical systems, process optimization, and data analysis. The tasks will involve reviewing technical manuals, analyzing machine data, and consulting with operators to gather insights. The goal is to create a comprehensive report that outlines the critical parameters, explains the significance of each alarm, and provides recommendations for improving machine performance.

The project deliverables will include a detailed report and a presentation. The report should cover the identified critical parameters and their impact on the NORDEN filler's performance. It should also include an analysis of the alarm system, explaining each alarm's significance and potential causes. Additionally, the team will provide actionable recommendations for optimizing machine operation. The presentation will summarize the findings and recommendations, providing a clear and concise overview for stakeholders.