Thesis Work, 15 Credits - Analysis of Process Batch Data to Identify Lead Time Improvement Opportunities in Active Pharmaceutical Ingredient (Chemical) Manufacturing
Core
Analyze large volumes of batch execution data from a new control system to identify bottlenecks, waiting times, and process variations causing longer lead times in pharmaceutical manufacturing.
Role type
Thesis student (data analytics & process optimization)
Builds
A repeatable analysis methodology, visualizations/KPIs, and a proof-of-concept dashboard or analytical framework.
Domain
Pharmaceutical manufacturing / Industrial automation / Data analytics
Required skills
Data analysis, Statistical methods, Python programming, Data processing, SQL, Analytical problem-solving
Preferred skills
Time-series data analysis, Process control systems knowledge, DeltaV experience, Power BI, Machine learning/AI techniques
Technologies
Python, SQL, DeltaV, Power BI
Responsibilities
Extract and process batch execution data (equipment utilization, alarms, operator interventions), validate findings with process engineers and operators, quantify impact of improvement opportunities, develop visualizations and KPIs for process monitoring.
Seniority
Student (Thesis)