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Prosjekt

Prosjekttyp/Bidragsform
Project grant
Tittel [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.
Publikasjoner (2 av 2) Visa alla publikasjoner
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
Åpne denne publikasjonen i ny fane eller vindu >>Integrating Digital Twins and Extended Reality for Smart PSS Design: A Case Study on Smart Electric Tour Bus Development
2025 (engelsk)Inngår i: Procedia CIRP / [ed] Mourtzis D., Elsevier, 2025, Vol. 136, s. 707-714Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Elsevier, 2025
Serie
Procedia CIRP, E-ISSN 2212-8271
Emneord
Digital Twins, Smart PSS design, Extended Reality, Decision-making, Case study, Smart electric tour bus
HSV kategori
Forskningsprogram
Maskinteknik
Identifikatorer
urn:nbn:se:bth-27467 (URN)10.1016/j.procir.2025.08.121 (DOI)2-s2.0-105015301524 (Scopus ID)
Konferanse
CIRP DESIGN 2025 – 35th CIRP Design Conference, 2025 02-04 April 2025, Patras, Greece
Forskningsfinansiär
Knowledge Foundation, 20180159Vinnova
Tilgjengelig fra: 2025-02-18 Laget: 2025-02-18 Sist oppdatert: 2025-09-30bibliografisk kontrollert
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
Åpne denne publikasjonen i ny fane eller vindu >>Utilizing Natural Language Processing for Enhancing Collaborative Value-Driven Design of Smart Product Service System: Smart E-Vehicle Application
Vise andre…
2024 (engelsk)Inngår i: 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, s. 305-318Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Springer, 2024
Serie
IFIP Advances in Information and Communication Technology, ISSN 1868-4238, E-ISSN 1868-422X
Emneord
Smart Product Service System, Value-Driven Design, Natural Language Processing, Scenario, Case
HSV kategori
Forskningsprogram
Maskinteknik
Identifikatorer
urn:nbn:se:bth-26917 (URN)10.1007/978-3-031-71739-0_20 (DOI)001336708500020 ()2-s2.0-85205088866 (Scopus ID)9783031717390 (ISBN)
Konferanse
25th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2024, Albi, France, October 28–30, 2024
Forskningsfinansiär
Knowledge Foundation, 20180159European Regional Development Fund (ERDF), 20356967
Tilgjengelig fra: 2024-09-16 Laget: 2024-09-16 Sist oppdatert: 2025-09-30bibliografisk kontrollert
Principal InvestigatorLarsson, Tobias
Koordinerande organisasjon
Blekinge Tekniska Högskola
Forskningsfinansiär
Tidsperiod
2022-09-01 - 2024-12-31
HSV kategori
Mechanical Engineering
Identifikatorer
DiVA, id: project:8326Prosjekt id: 20356967

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Virtual Production Studio Lab