@misc{13019,
  abstract     = {{The digital transformation of manufacturing companies is a huge driver of complexity in organizational structures and processes. Challenges such as an increasing number of variants, rapid changes in technology, and a multitude of interfaces between IT systems within companies require changed qualifications in the workforce. Employees lack a profound understanding of the added value that digitalization can bring to the company and themselves. To address these challenges, simulation games are a suitable approach. Simulation games are active learning methods that simulate real systems in an artificial environment. The goal is to give employees the opportunity to gain experience and make decisions without creating a pressure situation or endangering the real production system. This enables them to better understand, evaluate and design real systems. In order to make optimal use of simulation games in manufacturing companies, they should be customized to the company and its employees due to individual processes and structures. This paper presents a procedure model for designing a concept of individualized simulation games for manufacturing companies in the context of digitalization. It starts with the identification of requirements. Subsequently, the requirements of the individual elements are combined into a holistic simulation game. The piloting of the framework is presented using an example from industrial practice.}},
  author       = {{Machon, Fabian and Gabriel, Stefan and Latos, Benedikt and Holtkötter, Christoph and Lütkehoff, Ben and Asmar, Laban and Kühn, Dr. Arno and Dumitrescu, Prof. Dr. Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  keywords     = {{industry 4.0, digitalization, digital transformation, simulation games, game-based learning, education, employee education, qualification}},
  pages        = {{1017--1022}},
  publisher    = {{Elsevier BV}},
  title        = {{{Design of individual simulation games in manufacturing companies for game-based learning}}},
  doi          = {{10.1016/j.procir.2023.03.145}},
  volume       = {{119}},
  year         = {{2023}},
}

@article{10645,
  abstract     = {{Artificial Intelligence (AI)-based applications promise great potential benefits for companies. However, an isolated consideration of the technical system is not sufficient for the design. Rather, it is necessary to design the entire work system taking into account the socio-technical system approach. This enables the combination of the strengths of people and intelligent systems. This paper presents an approach for a socio-technical requirements elicitation in the design of AI-based systems by adapting the HTO-analysis. First, a mission statement is developed. Based on a detailed process modelling, existing data and systems are recorded. In addition, all relevant stakeholder groups are included by conducting interviews and surveys. Thus, the procedure enables the derivation of a comprehensive catalogue of requirements. The application of the approach is illustrated by using an example from industrial practice, the design of an intelligent workforce planning system.}},
  author       = {{Gabriel, Stefan and Bentler, Dominik and Grote, Eva-Maria and Junker, Caroline and Wendischhoff, David Meyer zu and Bansmann, Michael and Latos, Benedikt and Hobscheidt, Daniela and Kühn, Arno and Dumitrescu, Roman}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  keywords     = {{socio-technial design socio-technial design, requirements elicitation, AI-human-collaboration, work design : workforce planning requirements elicitation AI-human-collaboration work design workforce planning}},
  pages        = {{431--436}},
  publisher    = {{Elsevier BV}},
  title        = {{{Requirements analysis for an intelligent workforce planning system: a socio-technical approach to design AI-based systems}}},
  doi          = {{10.1016/j.procir.2022.05.274}},
  volume       = {{109}},
  year         = {{2022}},
}