Modular Digital Twin – an approach for generating and exploiting product sustainability information towards service-oriented business models

Andreas Werner, Frauke Schuseil, Moritz Hämmerle, Sascha Schaper and Katharina Hölzle

International Journal of Production Research, 2025, vol. 63, issue 3, 992-1010

Abstract: Companies receive numerous customer inquiries and regulatory requirements while attempting to offer new services to enhance sustainability, leading in total to an increase in the number of product-related requirements. Digital Twins serve as enablers for meeting these requirements, whereas new challenges arise for companies through the introduction of Digital Twins. Digital Twins represent an order-specific configuration and must be structured differently according to requirements and thus as modularly as possible. This paper aims to provide a systemic approach with a concept for a Modular Digital Twin for generating and exploiting Product Sustainability Information to leverage sustainability potentials towards Service-oriented Business Models. The approach is concretised by means of a selected use case regarding energy-efficient production control of an automated model factory. We can show with this use case that the systemic approach with the concept of a Modular Digital Twin is applicable for energy consumption of machinery motors' simulation and for the calculation of an optimised motor speed.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2024.2366997 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:63:y:2025:i:3:p:992-1010

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20

DOI: 10.1080/00207543.2024.2366997

Access Statistics for this article

International Journal of Production Research is currently edited by Professor A. Dolgui

More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().