@misc{12719,
  abstract     = {{A human digital twin (HDT) is a virtual representation of a worker in cyberspace. Nevertheless, current research focusses mainly on HDTs for motoric work types, such as assembly. To fully integrate an HDT for workers in production, it is necessary that an HDT also displays cognitive processes like memorizing, thinking or reasoning. Such a concept can be used in information-based work, for example monitoring highly automated production systems, and contribute to the planning and control of production. Due to the high proportion of planning and decision-making processes, the efficiency of information-based work is determined in particular by the inner processes of the worker. An HDT can therefore help to describe current and future states of socio-technical work systems. Therefore, this paper presents a systematic literature review to explicitly derive the relevant components of an HDT for information-based work types. The elements of such an HDT and its environment are defined. Further, the current gaps in literature are identified. There are currently no real-world applications of such an HDT. Additionally, the value of multi-HDT systems must be evaluated more extensively.}},
  author       = {{Mordaschew, Viktoria and Latos, Benedikt and Tackenberg, Sven}},
  booktitle    = {{Procedia Computer Science}},
  issn         = {{1877-0509}},
  keywords     = {{Human-centric Production, Digital Twin, Systematic Literature Review}},
  pages        = {{2137--2146}},
  publisher    = {{Elsevier}},
  title        = {{{A Human Digital Twin for Worker-Centric Production}}},
  doi          = {{https://doi.org/10.1016/j.procs.2025.01.274}},
  volume       = {{253}},
  year         = {{2025}},
}

@misc{11972,
  abstract     = {{As companies increasingly adopt software applications to improve business efficiency, often digitization gaps arise when legacy systems fail to integrate with new applications. These gaps often result in redundant task execution across incompatible systems. Robotic Process Automation (RPA) emerges as a solution by automating such tasks. However, selecting the right processes that will be subjected to RPA is crucial to avoid failures and resource waste. Therefore, this paper introduces a four-stage method to evaluate processes for RPA suitability, grounded on the Analytic Hierarchy Process (AHP). By systematically analyzing scientific literature and incorporating weights from RPA experts, this paper sheds light on the complex nature of process selection criteria for RPA. Tested in a company, the method facilitates the process selection, indicating its practical applicability.}},
  author       = {{Meyer, Frederic and Hinrichsen, Sven and Padoano, Elio}},
  booktitle    = {{Human Systems Engineering and Design (IHSED2024): Future Trends and Applications}},
  editor       = {{Ahram, Tareq  and Karwowski, Waldemar  and Etinger, Darko  and Mijač, Tea }},
  isbn         = {{978-1-964867-34-2}},
  issn         = {{2771-0718}},
  keywords     = {{Analytic Hierarchy Process (AHP), Evaluation Method, MCDM, Robotic Process Automation (RPA), Selection Criteria, Systematic Literature Review (SLR)}},
  location     = {{Split}},
  publisher    = {{AHFE International}},
  title        = {{{A Structured Method for the Selection of Business Processes Suitable for Robotic Process Automation}}},
  doi          = {{10.54941/ahfe1005524}},
  volume       = {{158}},
  year         = {{2024}},
}