Internship Process Variation Analysis - Lactoferrin Plant (all genders) in the Netherlands

• Internship compensation of €600 gross per month based on a full-time internship.
• 1 vacation day per month based on a full-time internship.
• The opportunity to work on a real production process and contribute directly to process improvement.
• Participation in the FrieslandCampina intern community and related activities.

You will work on a technically relevant challenge in a brand-new, state-of-the-art production plant, with direct access to the plant, process data and experienced colleagues. The team culture is open and informal. For strong candidates, follow-up opportunities within FrieslandCampina may be possible.FrieslandCampina is a global dairy company with thousands of employees and brands reaching consumers in over 100 countries. At our Veghel site, we produce high-quality whey- and milk-based ingredients for food, infant nutrition, and pharmaceutical manufacturers worldwide. The Technology department at our Veghel site has recently started up a new lactoferrin plant. To control and improve the process in a structured way, we first need a solid, data-driven picture of how it performs today. In this internship you will set up a baseline for a selected set of product components across the process. You will collect and analyse process and lab data, assess how reliable the measurements are, and turn your findings into practical insights for operations and technology.

Three years ago, the Veghel site started up a new lactoferrin plant. To improve the process in a structured way, we want a clear, data-driven picture of how much selected product components vary across the process today.

During this internship, you will map this variation and establish a baseline. You will collect and analyse process and laboratory data, identify the main sources of variation, and translate your findings into practical insights for Operations and Technology.

The internship duration is five months and will result in a report suitable as a graduation thesis.

• Get to know the process, from incoming raw material to end product, and map where selected components are measured and influenced.
• Collect and structure process and laboratory data from historian systems and lab records.
• Make process variation visible per process step and over time using tools such as trend analysis, control charts and capability analysis.
• Identify the main sources of variation (e.g. raw materials, process settings, shifts and batches) and understand how they relate to each other.
• Deliver a clear, data-driven baseline report with recommendations for monitoring and follow-up.

• Affinity with production processes, data analysis and statistics.
• Comfortable working in a production environment.