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 pharmaceutical manufacturing control system to identify bottlenecks, process variations, and waiting times that contribute to longer lead times.
Role type
Academic thesis researcher (data analytics)
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, Pharmaceutical manufacturing, DeltaV, Data visualization (Power BI), Machine learning
Technologies
Python, DeltaV, SQL, Power BI
Responsibilities
Extract and process batch execution data including equipment utilization and alarms; Identify bottlenecks and waiting times; Quantify impact of improvement opportunities; Develop visualizations and KPIs for process monitoring; Validate findings with process engineers and operators.
Seniority
Student / Academic