[{"_id":"project:8326","_type":"project","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."},"project_id":"20356967","identifier_short":"20356967","local_ids":{"bth":["6.2.1-0101-2022"]},"dates":{"start_date":"2022-09-01","end_date":"2024-12-31"},"organizations":[{"funding":[{"_id":600,"id":"232100-0081","sv":"Region Blekinge","en":"Region Blekinge"}]},{"coordinating":[{"_id":16500,"id":"202100-4011","sv":"Blekinge Tekniska Högskola","en":"Blekinge Institute of Technology"}]}],"people":[{"project_leaders":[{"_id":"authority-person:34871","orcid":"0000-0002-9662-4576","name":"Larsson, Tobias","role":"principal_investigator","affiliation":[{"_id":16811,"sv":"Institutionen för maskinteknik","en":"Department of Mechanical Engineering","parent":[{"_id":16807,"sv":"Fakulteten för teknikvetenskaper","en":"Faculty of Engineering","parent":[{"_id":16500,"sv":"Blekinge Tekniska Högskola","en":"Blekinge Institute of Technology"}]}]}]}]},{"other_personnel":[]}],"tags":[{"_id":11586,"id":"203","sv":"Maskinteknik","en":"Mechanical Engineering"}],"titles":{"en":"Virtual Production Studio Lab VPSL"},"type_of_awards":{"sv":"Projektbidrag","en":"Project grant"},"publications":[{"id":"diva2:1938439","type":"paper-conference","issued":{"date-parts":[[2025]]},"title":"Integrating Digital Twins and Extended Reality for Smart PSS Design : A Case Study on Smart Electric Tour Bus Development","language":"eng","author":[{"family":"Zhang","given":"Yan","ORCID":"0000-0003-3711-264X","localId":"zxy","affiliation":[{"id":"16811","name":"Blekinge Tekniska Högskola, Institutionen för maskinteknik"}]},{"family":"Larsson","given":"Tobias","ORCID":"0000-0002-9662-4576","localId":"tlr","affiliation":[{"id":"16811","name":"Blekinge Tekniska Högskola, Institutionen för maskinteknik"}]},{"family":"Haoqiang","given":"Wang","affiliation":[{"name":"Design Center, Xiamen King Long United Automotive Industry, China"}]},{"family":"Chunjun","given":"Huang","affiliation":[{"name":"University of Shanghai for Science and Technology, China"}]}],"abstract":"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.","DOI":"10.1016/j.procir.2025.08.121","ScopusId":"2-s2.0-105015301524","NBN":"urn:nbn:se:bth-27467","volume":"136","page":"707-714","container-title":"Procedia CIRP","event":"CIRP DESIGN 2025 – 35th CIRP Design Conference, 2025 02-04 April 2025, Patras, Greece","keyword":"Digital Twins; Smart PSS design; Extended Reality; Decision-making; Case study; Smart electric tour bus","publisher":"Elsevier","note":"[ed] Mourtzis D.","published":[{"raw":"2025-02-18T13:23:00.000+01:00"}],"created":[{"raw":"2025-02-18T13:23:37.054+01:00"}],"updated":[{"raw":"2025-09-30T12:11:19.735+02:00"}],"URL":"https://urn.kb.se/resolve?urn=urn:nbn:se:bth-27467"},{"id":"diva2:1898188","type":"paper-conference","issued":{"date-parts":[[2024]]},"title":"Utilizing Natural Language Processing for Enhancing Collaborative Value-Driven Design of Smart Product Service System: Smart E-Vehicle Application","language":"eng","author":[{"family":"Zhang","given":"Yan","ORCID":"0000-0003-3711-264X","localId":"zxy","affiliation":[{"id":"16811","name":"Blekinge Tekniska Högskola, Institutionen för maskinteknik"},{"name":"BIGMind Innovation, Shanghai, China"}]},{"family":"Larsson","given":"Andreas","ORCID":"0000-0003-2211-2436","localId":"anl","affiliation":[{"id":"16811","name":"Blekinge Tekniska Högskola, Institutionen för maskinteknik"}]},{"family":"Larsson","given":"Tobias","ORCID":"0000-0002-9662-4576","localId":"tlr","affiliation":[{"id":"16811","name":"Blekinge Tekniska Högskola, Institutionen för maskinteknik"}]},{"family":"Tian","given":"Wenchong","affiliation":[{"name":"City University, HongKong, China"}]},{"family":"Zhang","given":"Lan","affiliation":[{"name":"Volkswagen Group, Beijing, China"}]},{"family":"Wang","given":"Wei","affiliation":[{"name":"Volkswagen Group, Beijing, China"}]}],"abstract":"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.","ISBN":"9783031717390","DOI":"10.1007/978-3-031-71739-0_20","ScopusId":"2-s2.0-85205088866","NBN":"urn:nbn:se:bth-26917","volume":"726","page":"305-318","container-title":"Navigating Unpredictability : Collaborative Networks in Non-linear Worlds, Proceedings, Part I","event":"25th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2024, Albi, France, October 28–30, 2024","keyword":"Smart Product Service System; Value-Driven Design; Natural Language Processing; Scenario; Case","publisher":"Springer","note":"[ed] Luis M. Camarinha-Matos, Angel Ortiz, Xavier Boucher, Anne-Marie Barthe-Delanoë","published":[{"raw":"2024-09-16T23:01:00.000+02:00"}],"created":[{"raw":"2024-09-16T23:01:04.981+02:00"}],"updated":[{"raw":"2025-09-30T12:16:50.839+02:00"}],"URL":"https://urn.kb.se/resolve?urn=urn:nbn:se:bth-26917"}],"links":[{"type":"pid","link":"https://bth.diva-portal.org/smash/api/project/swecris/project:8326"}]}]