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@Article { 2022_brauner_iop,
   title = {A Computer Science Perspective on Digital Transformation in Production},
   journal = {ACM Transactions on Internet of Things},
   year = {2022},
   month = {5},
   day = {1},
   volume = {3},
   number = {2},
   abstract = {The Industrial Internet-of-Things (IIoT) promises significant improvements for the manufacturing industry by facilitating the integration of manufacturing systems by Digital Twins. However, ecological and economic demands also require a cross-domain linkage of multiple scientific perspectives from material sciences, engineering, operations, business, and ergonomics, as optimization opportunities can be derived from any of these perspectives. To extend the IIoT to a true Internet of Production, two concepts are required: first, a complex, interrelated network of Digital Shadows which combine domain-specific models with data-driven AI methods; and second, the integration of a large number of research labs, engineering, and production sites as a World Wide Lab which offers controlled exchange of selected, innovation-relevant data even across company boundaries. In this article, we define the underlying Computer Science challenges implied by these novel concepts in four layers: Smart human interfaces provide access to information that has been generated by model-integrated AI. Given the large variety of manufacturing data, new data modeling techniques should enable efficient management of Digital Shadows, which is supported by an interconnected infrastructure. Based on a detailed analysis of these challenges, we derive a systematized research roadmap to make the vision of the Internet of Production a reality.},
   keywords = {Internet of Production; World Wide Lab; Digital Shadows; Industrial Internet of Things},
   tags = {internet-of-production},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2022/2022-brauner-digital-transformation.pdf},
   publisher = {ACM},
   ISSN = {2691-1914},
   DOI = {10.1145/3502265},
   reviewed = {1},
   author = {Brauner, Philipp and Dalibor, Manuela and Jarke, Matthias and Kunze, Ike and Koren, Istv{\'a}n and Lakemeyer, Gerhard and Liebenberg, Martin and Michael, Judith and Pennekamp, Jan and Quix, Christoph and Rumpe, Bernhard and van der Aalst, Wil and Wehrle, Klaus and Wortmann, Andreas and Ziefle, Martina}
}

@Article { 2020_mann_welding_layers,
   title = {Connected, digitalized welding production — Secure, ubiquitous utilization of data across process layers},
   journal = {Advanced Structured Materials},
   year = {2020},
   month = {4},
   day = {1},
   volume = {125},
   pages = {101-118},
   abstract = {A connected, digitalized welding production unlocks vast and dynamic potentials: from improving state of the art welding to new business models in production. For this reason, offering frameworks, which are capable of addressing multiple layers of applications on the one hand and providing means of data security and privacy for ubiquitous dataflows on the other hand, is an important step to enable the envisioned advances. In this context, welding production has been introduced from the perspective of interlaced process layers connecting information sources across various entities. Each layer has its own distinct challenges from both a process view and a data perspective. Besides, investigating each layer promises to reveal insight into (currently unknown) process interconnections. This approach has been substantiated by methods for data security and privacy to draw a line between secure handling of data and the need of trustworthy dealing with sensitive data among different parties and therefore partners. In conclusion, the welding production has to develop itself from an accumulation of local and isolated data sources towards a secure industrial collaboration in an Internet of Production.},
   note = {Proceedings of the 1st International Conference on Advanced Joining Processes (AJP '19)},
   keywords = {Welding Production; Industrie 4.0; Internet of Production; Data Security; Data Privacy},
   tags = {Internet-of-Production},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2020/2020-mann-welding-layers.pdf},
   publisher = {Springer},
   event_place = {Ponta Delgada, Azores, Portugal},
   event_date = {October 24-25, 2019},
   ISBN = {978-981-15-2956-6},
   ISSN = {1869-8433},
   DOI = {10.1007/978-981-15-2957-3_8},
   reviewed = {1},
   author = {Mann, Samuel and Pennekamp, Jan and Brockhoff, Tobias and Farhang, Anahita and Pourbafrani, Mahsa and Oster, Lukas and Uysal, Merih Seran and Sharma, Rahul and Reisgen, Uwe and Wehrle, Klaus and van der Aalst, Wil}
}

@Article { 2020-wehrle-digitalshadows,
   title = {Mit ''Digitalen Schatten'' Daten verdichten und darstellen : Der Exzellenzcluster ''Internet der Produktion'' forscht {\"u}ber die Produktionstechnik hinaus},
   journal = {Der Profilbereich ''Information \& Communication Technology''},
   year = {2020},
   ISSN = {0179-079X},
   DOI = {10.18154/RWTH-2021-02496},
   author = {Jarke, Matthias and van der Aalst, Wil and Brecher, Christian and Brockmann, Matthias and Koren, Istv{\'a}n and Lakemeyer, Gerhard and Rumpe, Bernhard and Schuh, G{\"u}nther and Wehrle, Klaus and Ziefle, Martina}
}