Stottmeister, Joe Philipp

Diploma Thesis:
1982

Topic:
Artificial intelligence in the planning process – analysis and recommendation of use cases

Editor:
Joe Philipp Stottmeister

University Professor Responsible:
Univ.-Prof. Dr.-Ing. Dipl.-Wirt.-Ing. Katharina Kleinschrot

Supervisor:
University Supervisor: Dipl.-Ing. Natalia Bienkowski, LL.B.

Editing Period:
03/2024 until 08/2024

Abstract:
This thesis examines the use of artificial intelligence to reduce the workload of skilled labour in the early phases of construction projects. The focus of the study is on identifying areas and associated use cases that offer the greatest potential for optimising planning processes. To this end, a potential analysis is carried out to evaluate the effectiveness of the relief. Based on the results of the literature research, which take into account both scientific and practical perspectives, a representative survey of general planners will be conducted. The aim of this survey is to gain insights into the implementation, the potential relief and possible obstacles to the use of AI technologies. In addition, the use of an AI application for cost estimation is being trialled. The analysis and interpretation of the results show that trust in the technology is a major obstacle to its use. In addition, the application analyses show that the available AI solutions are particularly important in the most highly stressed areas of work. The lack of high-quality digital training data is identified as a key challenge for future research and development.