Business Engineering | Industrial Engineering internship: production planning optimization

Introduction

The Master Planning team within Twinscan Factory is responsible for translating production demand into a feasible and reliable factory plan. In this Business Engineering | Industrial Engineering internship: production planning optimization, you will help improve how production capacity, demand, and factory constraints are balanced for one of the world's most advanced manufacturing environments. Working in Veldhoven, you will contribute to decision-making that supports factory output, delivery performance, and operational efficiency. This internship offers the opportunity to combine analytical thinking, stakeholder collaboration, and process improvement in a highly complex production environment. If you enjoy solving operational challenges using data and structured analysis, this internship could be a great fit for you.

• Team: Interns and Trainees
• Work experience: 0-1 year
• Educational background: Other technical backgrounds, Other non-technical backgrounds
• Travel: No
• Workplace type: Hybrid
• Fulltime/parttime: Full time

Your assignment

As part of the Master Planning team, you will support the development and improvement of production planning processes that help ensure reliable factory performance. You will analyze production capabilities, identify planning improvement opportunities, and work with stakeholders across manufacturing and operations to support data-driven decisions. During this internship, you will gain exposure to strategic production planning while contributing to tangible operational improvements. Your main responsibilities will be:

• Analyze factory production plans and identify opportunities to improve planning performance.
• Evaluate production capacity and compare capabilities against future demand scenarios.
• Support improvement initiatives that increase planning reliability and operational efficiency.
• Assess planning risks and recommend actions to address potential gaps.
• Collaborate with operational stakeholders to align planning assumptions and priorities.
• Develop analyses and insights that support production planning decisions.
• Contribute to projects focused on improving and automating planning processes.

This is a bachelor's or master's non-thesis internship for minimum 5 months, minimum 4 days per week (4 days on-site). The start date of this internship is as of February 2027.

Your profile

To be suitable for the internship, you:

• Are pursuing a bachelor's or master's degree in Business Engineering, Industrial Engineering, Operations Management, Supply Chain Management, Data Science, Artificial Intelligence, or a related field.
• Have an interest in production planning, operations management, and manufacturing environments.
• Demonstrate strong analytical and structured problem-solving skills.
• Are effective in stakeholder management and cross-functional collaboration.
• Communicate clearly and can influence discussions using data and insights.
• Show a proactive, curious, and results-oriented mindset.

The Business Engineering | Industrial Engineering internship: production planning optimization provides a unique opportunity to work on real planning challenges within a high-tech manufacturing environment. Throughout this internship, you will collaborate with experienced professionals and develop skills that are highly relevant for careers in operations, supply chain, business engineering, and manufacturing excellence.

Other requirements you need to meet:

• You are enrolled at an educational institute for the entire duration of the internship, and you are at least 18 years old at the start of the internship;
• If you are a non-EU citizen, studying in the Netherlands, your university is willing to sign the documents relevant for doing an internship (i.e., Nuffic agreement);
• You need to be located in the Netherlands to be perform your internship. In case you are currently living/studying outside of the Netherlands, your application shows the willingness to relocate.