Autor: Sven Tackenberg

Explainable artificial intelligence (XAI)-based nudging, while ethically complex, may offer a favorable alternative to rigid, algorithmically generated schedules that simultaneously respects worker autonomy and improves overall scheduling performance on the shop floor. This paper presents a controlled laboratory study demonstrating the successful nudging of 28 industrial engineering students in a job shop simulation. The study shows that the observed concordance between students’ sequencing decisions and a predefined target sequence increases by 9% through nudging. This is done by using XAI to analyze students’ preferences and adjusting task deadlines and priorities in the simulation. The paper discusses the ethical issues of nudging, including potential manipulation, illusory autonomy, and reducing people to numbers. To mitigate these issues, it offers recommendations for implementing the XAI-based nudging approach in practice and highlights its strengths relative to rigid, ...

In development projects, a delay in connection with budget overruns is often the consequence of unrealistic scheduling. A simulation based approach for modeling development projects has been developed to support the project planner and will be presented in this paper. This novel approach allows the modeling and simulation of the project-specific structural organization and the process organization as well as the typical non-deterministic project behavior. Therefore, a realistic scheduling and resource allocation of complex development projects can be achieved. The application of the approach in projects of our industrial partners in the chemical industry has shown the suitability of the developed tools.