Leveraging Simulation Modelling, Virtual Commissioning and Digital Twins to Support Manufacturing Process Innovation: An integrated framework
Hermann Boris Djeulezeck Tanegue,
William de Paula Ferreira (),
Rodrigo Furlan de Assis () and
David Brodeur
Additional contact information
Hermann Boris Djeulezeck Tanegue: Department of Systems Engineering, École de Technologie Supérieure
William de Paula Ferreira: Department of Systems Engineering, École de Technologie Supérieure
Rodrigo Furlan de Assis: University of Southern Denmark (SDU), Department of Technology and Innovation
David Brodeur: Productique Québec
A chapter in Technology Management for Intelligent, Open and Responsible Organizations and Ecosystems, 2026, pp 288-297 from Springer
Abstract:
Abstract Industry 4.0 is a key driver of innovation for manufacturing companies. However, the literature remains limited in providing methods and tools to support the effective implementation of Industry 4.0 projects, particularly for small and medium-sized manufacturing enterprises (SMEs). To fill this gap, this article proposes a new framework, supported by a proof of concept, that integrates different simulation technologies - including computer simulation, virtual commissioning and digital twins - to facilitate process development of industrial production systems. Drawing on bi-directional data flows and interoperable technologies such as OPC UA and MQTT, the proposed approach illustrates how different simulation technologies can be used in an integrated way to help transform industrial processes to effectively meet Industry 4.0 requirements.
Keywords: Industy 4.0; Virtual commissionning; Digital twins; Modeling; Simulation (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:prbchp:978-3-032-23282-3_35
Ordering information: This item can be ordered from
http://www.springer.com/9783032232823
DOI: 10.1007/978-3-032-23282-3_35
Access Statistics for this chapter
More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().