Industry 4.0-based Production of Precast Concrete Modules - Enabling Dynamic Scheduling Using the Digital Twin
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed
Contributors
Abstract
Modular construction is generally considered to be a very efficient construction method. However, disruptions in production can negate the advantages of modular construction. Dynamic scheduling (DS) is the strategic handling of production disruptions where real-time events' effects are mitigated by analyzing the state of the production system and automatically optimizing production planning. The prerequisite for DS is acquiring real-time data relevant to production planning. Thus, the digital capturing, evaluation, and provision of production-relevant data are needed. This paper develops a Digital Twin (DT) of a production system based on the Asset Administration Shell (AAS), known as the implementation of DT in Industry 4.0. The AAS of the production system serves as a virtual aggregation level for the relevant data. DS is implemented using a simulation-based scheduler. The presented approach is verified using a virtual production system for precast concrete modules as a proof of concept.
Details
| Original language | English |
|---|---|
| Title of host publication | 30th International Conference on Intelligent Computing in Engineering |
| Number of pages | 10 |
| Publication status | Published - 2023 |
| Peer-reviewed | No |
Conference
| Title | 30th International Conference on Intelligent Computing in Engineering |
|---|---|
| Abbreviated title | 2023 EG-ICE |
| Conference number | 30 |
| Duration | 4 - 7 July 2023 |
| Website | |
| Location | University College London |
| City | London |
| Country | United Kingdom |
External IDs
| ORCID | /0000-0002-1484-7187/work/142243128 |
|---|---|
| Scopus | 85207161443 |