Digital Batch Record Process Optimization

Cosmetica Labs Inc. is in the process of implementing a new software system for managing digital batch records. The current challenge lies in optimizing the process flow to ensure seamless integration with existing manual processes. This project aims to streamline the digital batch record process, reducing inefficiencies and enhancing overall productivity. By analyzing the current workflow, identifying bottlenecks, and proposing improvements, learners will apply their classroom knowledge of process optimization and digital systems. The project will involve mapping out the current process, identifying areas for improvement, and suggesting actionable changes to align the digital system with manual operations. The goal is to create a more efficient and user-friendly process that minimizes errors and maximizes throughput.

NORDEN Filler Critical Parameters and Alarm Analysis

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.