Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP)

Communications in computer and information science, pp. 1–31

Authors 6

1. Wil M. P. van der Aalst corresponding Aachen Process and Data Science (PADS)

   Fraunhofer Institute for Applied Information Technology · RWTH Aachen University

   Affiliation as printed

   Fraunhofer-Institut für Angewandte Informationstechnik, Sankt Augustin, Germany

   Process and Data Science (Informatik 9), RWTH Aachen University, Aachen, Germany

2. Tobias Brockhoff Aachen Process and Data Science (PADS)

   RWTH Aachen University

   Affiliation as printed

   Process and Data Science (Informatik 9), RWTH Aachen University, Aachen, Germany

3. Anahita Farhang Ghahfarokhi Aachen Process and Data Science (PADS)

   RWTH Aachen University

   Affiliation as printed

   Process and Data Science (Informatik 9), RWTH Aachen University, Aachen, Germany

4. Mahsa Pourbafrani Aachen Process and Data Science (PADS)

   RWTH Aachen University

   Affiliation as printed

   Process and Data Science (Informatik 9), RWTH Aachen University, Aachen, Germany

5. Merih Seran Uysal Aachen Process and Data Science (PADS)

   RWTH Aachen University

   Affiliation as printed

   Process and Data Science (Informatik 9), RWTH Aachen University, Aachen, Germany

6. Sebastiaan J. van Zelst Aachen Process and Data Science (PADS)

   Fraunhofer Institute for Applied Information Technology · RWTH Aachen University

   Affiliation as printed

   Fraunhofer-Institut für Angewandte Informationstechnik, Sankt Augustin, Germany

   Process and Data Science (Informatik 9), RWTH Aachen University, Aachen, Germany