Digital Twin for the optimized production of prefabricated houses
Abstract
With the increasing availability of broadband communication (ultra-wide band, UWB) in mobile devices (e.g. cell phones, tablets) and the expected progress in localization and tracking of objects using 5G communication networks, a wide range of application possibilities also arise in an industrial environment. Particularly in combination with existing technologies such as RFID (Radio-Frequency Identification) and Bluetooth Low Energy (BLE) and their advantages (low costs, simple installation, low power consumption or even components that can be operated completely passively), customized solutions can also be found for industries that have so far hardly been able to benefit from digitalization. Prefabricated houses in timber frame construction represent a significant factor in the Austrian and European construction industry due to the rapid construction method using prefabrication. Increasing demands in terms of customer individualization and improved product qualities are exerting increasing pressure on the prefabricated house sector. However, digitization is only present in the production of prefabricated houses in rudimentary form, while the demands on the product are becoming increasingly diverse. The specific goal of this project is therefore to research and test required methods, components and systems for proactive production planning and thus increase the productivity of existing and future plants. Due to the highly individualized products, this is a particular challenge in the production of prefabricated houses: wall segments are manufactured in variant flow processes, which requires individual processing steps that often cannot be handled with a uniform production line and require special workstations. The throughput time of the wall segments to the individual processing stations is therefore subject to strong fluctuations depending on the individual equipment of the segment, which currently prevents proactive planning of production capacities to avoid delays and waiting times between the individual production steps. To enable forward-looking production planning, the current production plant is to be modeled in the form of a digital twin. Based on the model, online planning procedures will be designed to enable data-driven production planning. With the help of the digital twin, the designed planning procedures and the existing production data (planning data of the wall segments to be produced and measurement data, which are obtained directly at the plant and which represent the current status of production), methods for proactive resource planning and for the improvement of production throughput times will be obtained.
Digital Twin industrieller Fertighausbau Internet of things Sequencing of mixed model assembly line
Publikationen
Mitarbeiter*Innen
Manfred Gronalt
Univ.Prof. Mag.rer.soc.oec. Dr.rer.soc.oec. Manfred Gronalt
manfred.gronalt@boku.ac.at
Tel: +43 1 47654-73411
Project Leader
01.05.2022 - 31.01.2025
Maria Anna Gartner
Dipl.-Ing. Dr. Maria Anna Gartner
maria.gartner@boku.ac.at
Tel: +43 1 47654-73415
Project Staff
03.09.2022 - 31.01.2025
Johannes Kircher
Johannes Kircher B.Sc.
johannes.kircher@boku.ac.at
Project Staff
01.09.2022 - 31.12.2023
Tobias Weberhofer
Tobias Weberhofer B.Sc.
tobias.weberhofer@boku.ac.at
Tel: +43 1 47654-73416
Project Staff
01.05.2022 - 31.01.2025
BOKU Partner
Externe Partner
Linz Center of Mechatronics GmbH
Veronika Putz
coordinator