This 3-day, practice-oriented workshop introduces participants to the essentials of Design of Experiments (DoE) specifically for injection molding processes. Instead of long theory sessions, the training emphasizes practical application, machine-side thinking, and simple tools that can be applied immediately in daily work. Over three compact 90-minute modules, attendees will learn how to plan, run, and interpret efficient DoE´s that deliver meaningful insights into part quality, process robustness, real ROI (Return Of Investment) and optimization opportunities.

This workshop is ideal for professionals involved in injection molding, process optimization, tooling decisions, and manufacturing performance. It is especially valuable for:

• Process Engineers & Set‑Up Technicians who want practical DoE skills they can apply directly on the molding machine.
• Product, Materials & Technical Development Engineers who must understand how process parameters influence part performance.
• Tooling Engineers, Moldmakers & Tool Designers seeking data‑driven methods to validate mold behavior and solve issues quickly.
• Plant Managers & Industrial Engineers responsible for productivity, scrap reduction, and process robustness.
• Sales & Technical Sales Teams involved in RFQs, customer support, costing, and feasibility evaluations.
• Purchasing & Costing Specialists assessing manufacturability and process capability.
• Students (B.Sc., M.Sc., PhD) preparing for careers in plastics processing and continuous improvement.

Do you struggle to identify the real root cause of molding defects?

Are you tired of relying on guesswork, intuition, or tribal knowledge?

Do you want to reduce scrap, stabilize processes, shorten startups, and justify process settings with data instead of trial‑and‑error?

If these challenges resonate with you, this workshop is exactly what you need.

Rather than being theory‑heavy, this course focuses on hands‑on, machine‑side Design of Experiments (DoE)—practical tools that you can implement immediately to improve quality, productivity, and overall competitiveness.