Utilizing Natural Language Processing for Enhancing Collaborative Value-Driven Design of Smart Product Service System: Smart E-Vehicle Application

Yan Zhang; Andreas Larsson; Tobias Larsson; Wenchong Tian; Lan Zhang; Wei Wang

doi:10.1007/978-3-031-71739-0_20

Utilizing Natural Language Processing for Enhancing Collaborative Value-Driven Design of Smart Product Service System: Smart E-Vehicle Application

Yan Zhang
, Andreas Larsson
, Tobias Larsson^*
, Wenchong Tian
, Lan Zhang
, Wei Wang

^*Corresponding author for this work

School of Energy and Environment

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

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. © IFIP International Federation for Information Processing 2024.

Original language	English
Title of host publication	Navigating Unpredictability: Collaborative Networks in Non-linear Worlds
Subtitle of host publication	25th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2024, Proceedings, Part 1
Editors	Luis M. Camarinha-Matos, Angel Ortiz, Xavier Boucher, Anne-Marie Barthe-Delanoë
Publisher	Springer, Cham
Pages	305-318
ISBN (Electronic)	978-3-031-71739-0
ISBN (Print)	978-3-031-71738-3, 978-3-031-71741-3
DOIs	https://doi.org/10.1007/978-3-031-71739-0_20
Publication status	Published - Oct 2024
Event	25th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2024 - Albi, France Duration: 28 Oct 2024 → 30 Oct 2024

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	726 IFIP
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Conference

Conference	25th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2024
Place	France
City	Albi
Period	28/10/24 → 30/10/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

Case
Natural Language Processing
Scenario
Smart Product Service System
Value-Driven Design

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10.1007/978-3-031-71739-0_20

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Permanent Link

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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 L. M. Camarinha-Matos, A. Ortiz, X. Boucher, & A.-M. Barthe-Delanoë (Eds.), Navigating Unpredictability: Collaborative Networks in Non-linear Worlds : 25th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2024, Proceedings, Part 1 (pp. 305-318). (IFIP Advances in Information and Communication Technology; Vol. 726 IFIP). Springer, Cham. https://doi.org/10.1007/978-3-031-71739-0_20

Zhang, Yan ; Larsson, Andreas ; Larsson, Tobias et al. / Utilizing Natural Language Processing for Enhancing Collaborative Value-Driven Design of Smart Product Service System : Smart E-Vehicle Application. Navigating Unpredictability: Collaborative Networks in Non-linear Worlds : 25th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2024, Proceedings, Part 1. editor / Luis M. Camarinha-Matos ; Angel Ortiz ; Xavier Boucher ; Anne-Marie Barthe-Delanoë. Springer, Cham, 2024. pp. 305-318 (IFIP Advances in Information and Communication Technology).

@inproceedings{4203141977bc4172a6c976aa35a87623,

title = "Utilizing Natural Language Processing for Enhancing Collaborative Value-Driven Design of Smart Product Service System: Smart E-Vehicle Application",

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{\textquoteright} 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. {\textcopyright} IFIP International Federation for Information Processing 2024.",

keywords = "Case, Natural Language Processing, Scenario, Smart Product Service System, Value-Driven Design",

author = "Yan Zhang and Andreas Larsson and Tobias Larsson and Wenchong Tian and Lan Zhang and Wei Wang",

year = "2024",

month = oct,

doi = "10.1007/978-3-031-71739-0\_20",

language = "English",

isbn = "978-3-031-71738-3",

series = "IFIP Advances in Information and Communication Technology",

publisher = "Springer, Cham",

pages = "305--318",

editor = "Camarinha-Matos, \{Luis M.\} and Angel Ortiz and Xavier Boucher and Anne-Marie Barthe-Delano{\"e}",

booktitle = "Navigating Unpredictability: Collaborative Networks in Non-linear Worlds",

note = "25th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2024 ; Conference date: 28-10-2024 Through 30-10-2024",

}

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 LM Camarinha-Matos, A Ortiz, X Boucher & A-M Barthe-Delanoë (eds), Navigating Unpredictability: Collaborative Networks in Non-linear Worlds : 25th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2024, Proceedings, Part 1. IFIP Advances in Information and Communication Technology, vol. 726 IFIP, Springer, Cham, pp. 305-318, 25th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2024, Albi, France, 28/10/24. https://doi.org/10.1007/978-3-031-71739-0_20

Utilizing Natural Language Processing for Enhancing Collaborative Value-Driven Design of Smart Product Service System: Smart E-Vehicle Application. / Zhang, Yan; Larsson, Andreas; Larsson, Tobias et al.
Navigating Unpredictability: Collaborative Networks in Non-linear Worlds : 25th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2024, Proceedings, Part 1. ed. / Luis M. Camarinha-Matos; Angel Ortiz; Xavier Boucher; Anne-Marie Barthe-Delanoë. Springer, Cham, 2024. p. 305-318 (IFIP Advances in Information and Communication Technology; Vol. 726 IFIP).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Utilizing Natural Language Processing for Enhancing Collaborative Value-Driven Design of Smart Product Service System

T2 - 25th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2024

AU - Zhang, Yan

AU - Larsson, Andreas

AU - Larsson, Tobias

AU - Tian, Wenchong

AU - Zhang, Lan

AU - Wang, Wei

PY - 2024/10

Y1 - 2024/10

N2 - 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. © IFIP International Federation for Information Processing 2024.

AB - 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. © IFIP International Federation for Information Processing 2024.

KW - Case

KW - Natural Language Processing

KW - Scenario

KW - Smart Product Service System

KW - Value-Driven Design

UR - https://www.scopus.com/pages/publications/85205088866

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85205088866&origin=recordpage

U2 - 10.1007/978-3-031-71739-0_20

DO - 10.1007/978-3-031-71739-0_20

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-3-031-71738-3

SN - 978-3-031-71741-3

T3 - IFIP Advances in Information and Communication Technology

SP - 305

EP - 318

BT - Navigating Unpredictability: Collaborative Networks in Non-linear Worlds

A2 - Camarinha-Matos, Luis M.

A2 - Ortiz, Angel

A2 - Boucher, Xavier

A2 - Barthe-Delanoë, Anne-Marie

PB - Springer, Cham

Y2 - 28 October 2024 through 30 October 2024

ER -

Zhang Y, Larsson A, Larsson T, Tian W, Zhang L, Wang W. Utilizing Natural Language Processing for Enhancing Collaborative Value-Driven Design of Smart Product Service System: Smart E-Vehicle Application. In Camarinha-Matos LM, Ortiz A, Boucher X, Barthe-Delanoë AM, editors, Navigating Unpredictability: Collaborative Networks in Non-linear Worlds : 25th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2024, Proceedings, Part 1. Springer, Cham. 2024. p. 305-318. (IFIP Advances in Information and Communication Technology). Epub 2024 Sept 12. doi: 10.1007/978-3-031-71739-0_20

Utilizing Natural Language Processing for Enhancing Collaborative Value-Driven Design of Smart Product Service System: Smart E-Vehicle Application

Abstract

Publication series

Conference

UN SDGs

Research Keywords

Access Output

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