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Title [en]
Virtual Production Studio Lab VPSL
Abstract [en]
The Virtual Production Studio Lab project is led by Blekinge Institute of Technology and will be a technically innovative arena and a place where the movie and gaming industry meets the traditional manufacturing industry and creates excellence in Blekinge. The VPSL will be the infrastructure foundation for a clustre within Virtual Production, and together with the business community do research and develop the technology, as well as create training courses and educational programmes to secure the skills needed around the technology.
Publications (2 of 2) Show all publications
Zhang, Y., Larsson, T., Haoqiang, W. & Chunjun, H. (2025). Integrating Digital Twins and Extended Reality for Smart PSS Design: A Case Study on Smart Electric Tour Bus Development. In: Mourtzis D. (Ed.), Procedia CIRP: . Paper presented at CIRP DESIGN 2025 – 35th CIRP Design Conference, 2025 02-04 April 2025, Patras, Greece (pp. 707-714). Elsevier, 136
Open this publication in new window or tab >>Integrating Digital Twins and Extended Reality for Smart PSS Design: A Case Study on Smart Electric Tour Bus Development
2025 (English)In: Procedia CIRP / [ed] Mourtzis D., Elsevier, 2025, Vol. 136, p. 707-714Conference paper, Published paper (Refereed)
Abstract [en]

The increasing digitalization of manufacturing is transforming product development towards intelligent, service-oriented systems. This study explores the application of Digital Twins (DT) technology in smart Product Service System (sPSS) design, proposing a framework of Super-System Digital Twin (SSDT) and eXtended Reality (XR) for supporting design. The SSDT integrates service offerings, user scenarios, and product features throughout the design process. Case is applied to the conceptual design of a Smart Electric Tourist Bus in collaboration with aglobal manufacturer, the framework utilizes eXtended Reality (XR) environment to enhance decision-making and prototyping. This research validates SSDT’s role in fostering participatory design and collaborative innovation, while addressing its limitations and proposing future improvements.

Place, publisher, year, edition, pages
Elsevier, 2025
Series
Procedia CIRP, E-ISSN 2212-8271
Keywords
Digital Twins, Smart PSS design, Extended Reality, Decision-making, Case study, Smart electric tour bus
National Category
Other Mechanical Engineering Production Engineering, Human Work Science and Ergonomics
Research subject
Mechanical Engineering
Identifiers
urn:nbn:se:bth-27467 (URN)10.1016/j.procir.2025.08.121 (DOI)2-s2.0-105015301524 (Scopus ID)
Conference
CIRP DESIGN 2025 – 35th CIRP Design Conference, 2025 02-04 April 2025, Patras, Greece
Funder
Knowledge Foundation, 20180159Vinnova
Available from: 2025-02-18 Created: 2025-02-18 Last updated: 2025-09-30Bibliographically approved
Zhang, Y., Larsson, A., Larsson, T., Tian, W., Zhang, L. & Wang, W. (2024). Utilizing Natural Language Processing for Enhancing Collaborative Value-Driven Design of Smart Product Service System: Smart E-Vehicle Application. In: Luis M. Camarinha-Matos, Angel Ortiz, Xavier Boucher, Anne-Marie Barthe-Delanoë (Ed.), Navigating Unpredictability: Collaborative Networks in Non-linear Worlds, Proceedings, Part I. Paper presented at 25th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2024, Albi, France, October 28–30, 2024 (pp. 305-318). Springer, 726
Open this publication in new window or tab >>Utilizing Natural Language Processing for Enhancing Collaborative Value-Driven Design of Smart Product Service System: Smart E-Vehicle Application
Show others...
2024 (English)In: Navigating Unpredictability: Collaborative Networks in Non-linear Worlds, Proceedings, Part I / [ed] Luis M. Camarinha-Matos, Angel Ortiz, Xavier Boucher, Anne-Marie Barthe-Delanoë, Springer, 2024, Vol. 726, p. 305-318Conference paper, Published paper (Refereed)
Abstract [en]

Manufacturing companies are increasingly transitioning from a product-centric to a smart Product Service System (smart PSS) approach to enhance customer satisfaction, service offerings, and product competitiveness through a combination of usage scenarios and digital components. In the context of Industry 5.0 transformation such as developing the Smart Electric Vehicle (SEV), the automotive industry faces the challenge of understanding customers’ descriptions of usage scenarios and translating the qualitative aspects of these scenarios into quantitatively assessed product features for collaborative value co-creation in smart PSS design. This paper addresses this challenge through utilizing Natural Language Processing (NLP) joint with Value-Driven Design (VDD) method for successfully supported a collaborative value exploration of in the smart PSS design stage. A case study was collaborated with a global automotive Original Equipment Manufacturer (OEM), Volkswagen, through proposing a NLP BERT model for VDD of Smart Electric Vehicle (SEV) design. Validation activities were performed by deploying the developed BERT model to the case company based on the scenario design of new car models.

Place, publisher, year, edition, pages
Springer, 2024
Series
IFIP Advances in Information and Communication Technology, ISSN 1868-4238, E-ISSN 1868-422X
Keywords
Smart Product Service System, Value-Driven Design, Natural Language Processing, Scenario, Case
National Category
Design Production Engineering, Human Work Science and Ergonomics
Research subject
Mechanical Engineering
Identifiers
urn:nbn:se:bth-26917 (URN)10.1007/978-3-031-71739-0_20 (DOI)001336708500020 ()2-s2.0-85205088866 (Scopus ID)9783031717390 (ISBN)
Conference
25th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2024, Albi, France, October 28–30, 2024
Funder
Knowledge Foundation, 20180159European Regional Development Fund (ERDF), 20356967
Available from: 2024-09-16 Created: 2024-09-16 Last updated: 2025-09-30Bibliographically approved
Principal InvestigatorLarsson, Tobias
Coordinating organisation
Blekinge Institute of Technology
Funder
Period
2022-09-01 - 2024-12-31
National Category
Mechanical Engineering
Identifiers
DiVA, id: project:8326Project, id: 20356967

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Virtual Production Studio Lab