
Step into the role of an advanced manufacturing engineer and tackle a real-world industrial challenge. In this hands-on program, you’ll work in teams to analyze an automated production line, reduce waste, optimize tool changeovers using SMED, and enhance machine performance—all while aligning with Net Zero Carbon and ESG goals. You’ll apply 3D scanning, CAD tools, and GOM Inspect software to assess worn components and design improved replacements. Gain experience with structured light scanning, advanced metrology, and predictive maintenance strategies to boost reliability and extend equipment life. Your solutions will support circular economy principles by minimizing material and energy waste. At the end, you’ll present your findings and recommendations in a professional report to a review panel—just like in a real industrial setting. This program equips you with practical, analytical, and sustainability-focused skills for the future of smart manufacturing.
These are the teamchers you'll work with on the challenge.
Analyze and evaluate production line operations to identify opportunities for improving efficiency, sustainability, and alignment with ESG and Net Zero Carbon goals.
· Apply SMED (Single-Minute Exchange of Die) methodology to optimize changeover processes in fully automated and robotised manufacturing environments.
Develop and propose preventive maintenance strategies tailored to high-performance production systems, with a focus on minimizing downtime and extending equipment lifespan.
(e.g., ATOS GOM) to capture, process, and assess tooling and component wear.
Utilize reverse engineering techniques and CAD modeling to redesign worn or obsolete parts, supporting circular production and digital manufacturing workflows.
Collaborate effectively in multidisciplinary teams, contributing to problem-solving discussions, SWOT analyses, and the co-creation of optimization strategies.
Communicate technical findings and strategic recommendations through a professional report and stakeholder-oriented presentation, demonstrating analytical reasoning and real-world application of Industry 4.0 tools.
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