Interviews, Uncategorized

Developing digital twins for production process planning – Interview with Dr. Daniel Hartung, Premium AEROTEC

Dr. Daniel Hartung, Head Of Big Data, Advanced Analytic, AI and Simulation at Premium AEROTEC

In the preparation of the Cognitive Manufacturing Europe 2019 we talked to Dr. Daniel Hartung from Premium AEROTEC about his personal experiences and the biggest challenges in dealing with Big data and AI .

we.CONECT: Dr. Hartung, as Head of Big Data, Advanced Analytics, AI and Simulation you supervise various projects. On which projects does your focus currently lie?

Dr. Hartung: We are developing digital twins for production process planning. We use machine learning and deep learning applications for analysis and prediction of machine behavior, image analysis and process data. Our most valuable use cases are currently the development of autonomous production systems and automated image analysis for the quality inspection of aerospace components. We are analyzing machine process data to develop diagnostic and prediction systems for advanced automation of process and machine decisions.

we.CONECT: Why has your company decided to push these projects?

Dr. Hartung: The digitalization of production chains provides opportunities for cost reduction and more efficient processes, and is also enabling companies to add value to their products. The aerospace supply chain has a global reach. Companies in Germany can only be competitive by the heavy use of automation, or by offering unique products or processes.

“The digitalisation of production chains provides opportunities for cost reduction and more efficient processes.”

we.CONECT: Are you already reaping the benefits of the projects or are there some challenges on the way to success?

Dr. Hartung: Aerospace companies have many conservative processes because they need to adhere to international law. In one project, we initially underestimated the legal hurdles involved in automating a quality inspection process and scaled it back to an assistance system, where the inspector still has the final decision.

we.CONECT: How did you master the problems you encountered?

Dr. Hartung: We try to test several methods and technologies in order to find the best method for the right use case. We leverage our internal skills with start-ups, industrial partners and universities, who have experience and bring in new concepts, ideas, and technologies. We use agile development processes in order to stay customer-centric and react quickly to unforeseen problems.

we.CONECT: How will AI revolutionize the aviation industry?

Dr. Hartung: Big data initiatives between aircraft manufacturers, engine manufacturers and airlines are allowing all three to improve their services, for instance by reducing unplanned maintenance, better predicting passenger numbers and optimising fuel usage.

we.CONECT: AI is a hot topic but in practice there are a lot of hurdles to be overcome to actually implement it in the manufacturing system. How far is your company in the AI journey?

Dr. Hartung: Rolling out our first two AI-based projects demonstrated several software, hardware and legal challenges to be overcome before they could be fully implemented. Fortunately, the company quickly recognised where internal processes could be optimised.

we.CONECT: Which project would you like to initiate next to realize the smart factory of the future?

Dr. Hartung:We see great potential in automating the shopfloor and in process order planning. By better coordinating work sequences for single part manufacturing and assemblies, we aim to improve efficiency and delivery planning and drive down costs.

we.CONECT: Thank you for the interview!

Cognitive Manufacturing Europe 2019

Bringing together all stakeholders who play an active role in Machine Learning, Artificial Intelligence, Data Science, Process Digitalization or Maintenance, MES, Plant & Automation Management

Connect with 120+ MES experts and data scientists who integrate AI and ML in manufacturing to optimize processes and enhance productivity. As the most interactive conference on cognitive manufacturing in Europe, the event provides a high-level networking platform to exchange best practices, discuss current challenges and find tangible solutions for implementing intelligent assets in the manufacturing system, enhancing operations with cognitive processes, and making smart use of resources with cognitive analytics. Be inspired, discover new technologies, identify innovative business opportunities and enter the next era of cognitive manufacturing – now!

July 01 – 02, 2019 Berlin

About Dr. Daniel Hartung
Dr. Daniel Hartung leads the development of applications for advanced data analytics and simulation for the production of aerospace components at Premium AEROTEC. The company produces aircraft fuselages for the Airbus Group. He will present a case study at Cognitive Manufacturing Europe about ‘Automated Image Analysis for Nondestructive Inspection of Airframe-Structures’.

About Premium AEROTEC:

Premium AEROTEC numbers among the world’s leading tier 1 suppliers of commercial and military aircraft structures and is a partner in the major European and international aerospace programmes. Its core business is the development and production of large and complex aircraft components from aluminium, titanium and carbon fibre composites (CFRP). Premium AEROTEC is Europe’s no.1 in this segment with roughly 10,000 employees at various sites in Germany and Romania and an annual turnover of €2 billion. Premium AEROTEC is represented by its products in all commercial Airbus programmes. The current military programmes include the Eurofighter “Typhoon” and the military transport aircraft A400M.

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