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Problem statement
Manufacturing SMEs face increasing challenges in maintaining complex machinery while dealing with skilled labour shortages and growing cost pressure. Maintenance tasks often depend on a small number of experienced experts whose availability is limited. Traditional training methods are time-consuming, require extensive documentation and often lead to errors during learning phases. Additionally, on-site expert visits and repeated service interventions result in high travel effort, machine downtime and unnecessary resource consumption. SMEs need a practical solution to transfer knowledge efficiently, support maintenance staff in real time and ensure reliable operations without increasing environmental impact.
Main outcome
The AR-supported maintenance and training solution significantly improved operational efficiency and sustainability. Maintenance tasks were completed faster and with fewer errors, reducing machine downtime and material waste. Remote expert support replaced many on-site service visits, leading to a measurable reduction in travel-related emissions and costs. New employees reached operational readiness more quickly through hands-on, guided training directly at the workplace. The digital documentation approach reduced paper usage and ensured that knowledge remained accessible and up to date. Overall, the solution demonstrated how augmented reality can enable greener, more resilient industrial operations while strengthening workforce skills in manufacturing SMEs.
