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Data-Driven Disturbance Handling (D3H)

Production disturbances cause substantial costs and efficiency losses in automated production systems (studies estimate 106 billion SEK every year in Swedish manufacturing industry). Therefore, the D3H project aims to digitalize established disturbance handling tools (DHT) by making them data-driven and, thus, more effective. Desired effects include: reduced disturbance frequency, increased Overall Equipment Effectiveness (OEE), and better opportunities for cost-effective automation. The digitalized DHT will be implemented at six case companies and the effects on different disturbance patterns will be measured. The project will also develop improvement services based on the DHT for internal use at manufacturing companies or to be provided on a consultancy basis. The project results will be disseminated outside the consortium by means of technology workshops and development of digitalized learning modules, inspired by Massive Open Online Courses (MOOCs). These modules are designed for use in university courses, professional education, etc., and meant to be spread by learning platforms, such as Civilingenjör 4.0. Finally, to secure the right competences, the consortium includes major Swedish research institutes and universities together with manufacturing companies, Small and Medium Sized Enterprises (SMEs), and a software innovator company. A multi-disciplinary team combining manufacturing maintenance experience and computer science expertize.

Project manager

Participating researcher(s)

Topics

Data Analysis, Digitalization, Maintenance, Production disturbances, Smart Maintenance

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