Enhancing the Optimization of the Selection of a Product Service System Scheme: A Digital Twin-Driven Framework

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LI, Yan ;LI, Lianhui .
Enhancing the Optimization of the Selection of a Product Service System Scheme: A Digital Twin-Driven Framework. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 66, n.9, p. 534-543, september 2020. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/enhancing-product-service-system-scheme-selection-optimization-a-digital-twin-driven-framework/>. Date accessed: 02 dec. 2020. 
doi:http://dx.doi.org/10.5545/sv-jme.2020.6621.
Li, Y., & Li, L.
(2020).
Enhancing the Optimization of the Selection of a Product Service System Scheme: A Digital Twin-Driven Framework.
Strojniški vestnik - Journal of Mechanical Engineering, 66(9), 534-543.
doi:http://dx.doi.org/10.5545/sv-jme.2020.6621
@article{sv-jmesv-jme.2020.6621,
	author = {Yan  Li and Lianhui  Li},
	title = {Enhancing the Optimization of the Selection of a Product Service System Scheme: A Digital Twin-Driven Framework},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {66},
	number = {9},
	year = {2020},
	keywords = {product service system, scheme selection, digital twin, fuzzy assessment},
	abstract = {A product service system (PSS) has been developed for manufacturing enterprises to provide users with personalized products and services. The optimization of PSS scheme selection is a key stage in the PSS design phase. Given the dynamic characteristics of the multi-dimensional influencing factors and their coupling relationships, we propose a digital twin-driven framework to enhance the optimization of PSS scheme selection. The framework is divided into a digital twin layer, an information layer, and an approach layer. The logical relationship between the three layers is given, and a quantitative PSS scheme selection optimization mechanism is designed. Fuzzy numbers and rough boundary intervals are integrated for the attribute value determination of the PSS scheme. A modified TOPSIS developed by replacing Euclidean distance with relational vector distance is adopted for the PSS scheme assessment. A case of an air purification PSS scheme selection optimization under the proposed digital twin driven framework is studied. It is shown that the designed PSS scheme selection optimization mechanism is effective and can be enhanced with the presented framework.},
	issn = {0039-2480},	pages = {534-543},	doi = {10.5545/sv-jme.2020.6621},
	url = {https://www.sv-jme.eu/sl/article/enhancing-product-service-system-scheme-selection-optimization-a-digital-twin-driven-framework/}
}
Li, Y.,Li, L.
2020 September 66. Enhancing the Optimization of the Selection of a Product Service System Scheme: A Digital Twin-Driven Framework. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 66:9
%A Li, Yan 
%A Li, Lianhui 
%D 2020
%T Enhancing the Optimization of the Selection of a Product Service System Scheme: A Digital Twin-Driven Framework
%B 2020
%9 product service system, scheme selection, digital twin, fuzzy assessment
%! Enhancing the Optimization of the Selection of a Product Service System Scheme: A Digital Twin-Driven Framework
%K product service system, scheme selection, digital twin, fuzzy assessment
%X A product service system (PSS) has been developed for manufacturing enterprises to provide users with personalized products and services. The optimization of PSS scheme selection is a key stage in the PSS design phase. Given the dynamic characteristics of the multi-dimensional influencing factors and their coupling relationships, we propose a digital twin-driven framework to enhance the optimization of PSS scheme selection. The framework is divided into a digital twin layer, an information layer, and an approach layer. The logical relationship between the three layers is given, and a quantitative PSS scheme selection optimization mechanism is designed. Fuzzy numbers and rough boundary intervals are integrated for the attribute value determination of the PSS scheme. A modified TOPSIS developed by replacing Euclidean distance with relational vector distance is adopted for the PSS scheme assessment. A case of an air purification PSS scheme selection optimization under the proposed digital twin driven framework is studied. It is shown that the designed PSS scheme selection optimization mechanism is effective and can be enhanced with the presented framework.
%U https://www.sv-jme.eu/sl/article/enhancing-product-service-system-scheme-selection-optimization-a-digital-twin-driven-framework/
%0 Journal Article
%R 10.5545/sv-jme.2020.6621
%& 534
%P 10
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 66
%N 9
%@ 0039-2480
%8 2020-09-02
%7 2020-09-02
Li, Yan, & Lianhui  Li.
"Enhancing the Optimization of the Selection of a Product Service System Scheme: A Digital Twin-Driven Framework." Strojniški vestnik - Journal of Mechanical Engineering [Online], 66.9 (2020): 534-543. Web.  02 Dec. 2020
TY  - JOUR
AU  - Li, Yan 
AU  - Li, Lianhui 
PY  - 2020
TI  - Enhancing the Optimization of the Selection of a Product Service System Scheme: A Digital Twin-Driven Framework
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2020.6621
KW  - product service system, scheme selection, digital twin, fuzzy assessment
N2  - A product service system (PSS) has been developed for manufacturing enterprises to provide users with personalized products and services. The optimization of PSS scheme selection is a key stage in the PSS design phase. Given the dynamic characteristics of the multi-dimensional influencing factors and their coupling relationships, we propose a digital twin-driven framework to enhance the optimization of PSS scheme selection. The framework is divided into a digital twin layer, an information layer, and an approach layer. The logical relationship between the three layers is given, and a quantitative PSS scheme selection optimization mechanism is designed. Fuzzy numbers and rough boundary intervals are integrated for the attribute value determination of the PSS scheme. A modified TOPSIS developed by replacing Euclidean distance with relational vector distance is adopted for the PSS scheme assessment. A case of an air purification PSS scheme selection optimization under the proposed digital twin driven framework is studied. It is shown that the designed PSS scheme selection optimization mechanism is effective and can be enhanced with the presented framework.
UR  - https://www.sv-jme.eu/sl/article/enhancing-product-service-system-scheme-selection-optimization-a-digital-twin-driven-framework/
@article{{sv-jme}{sv-jme.2020.6621},
	author = {Li, Y., Li, L.},
	title = {Enhancing the Optimization of the Selection of a Product Service System Scheme: A Digital Twin-Driven Framework},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {66},
	number = {9},
	year = {2020},
	doi = {10.5545/sv-jme.2020.6621},
	url = {https://www.sv-jme.eu/sl/article/enhancing-product-service-system-scheme-selection-optimization-a-digital-twin-driven-framework/}
}
TY  - JOUR
AU  - Li, Yan 
AU  - Li, Lianhui 
PY  - 2020/09/02
TI  - Enhancing the Optimization of the Selection of a Product Service System Scheme: A Digital Twin-Driven Framework
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 66, No 9 (2020): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2020.6621
KW  - product service system, scheme selection, digital twin, fuzzy assessment
N2  - A product service system (PSS) has been developed for manufacturing enterprises to provide users with personalized products and services. The optimization of PSS scheme selection is a key stage in the PSS design phase. Given the dynamic characteristics of the multi-dimensional influencing factors and their coupling relationships, we propose a digital twin-driven framework to enhance the optimization of PSS scheme selection. The framework is divided into a digital twin layer, an information layer, and an approach layer. The logical relationship between the three layers is given, and a quantitative PSS scheme selection optimization mechanism is designed. Fuzzy numbers and rough boundary intervals are integrated for the attribute value determination of the PSS scheme. A modified TOPSIS developed by replacing Euclidean distance with relational vector distance is adopted for the PSS scheme assessment. A case of an air purification PSS scheme selection optimization under the proposed digital twin driven framework is studied. It is shown that the designed PSS scheme selection optimization mechanism is effective and can be enhanced with the presented framework.
UR  - https://www.sv-jme.eu/sl/article/enhancing-product-service-system-scheme-selection-optimization-a-digital-twin-driven-framework/
Li, Yan, AND Li, Lianhui.
"Enhancing the Optimization of the Selection of a Product Service System Scheme: A Digital Twin-Driven Framework" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 66 Number 9 (02 September 2020)

Avtorji

Inštitucije

  • Xinxiang University, Computer and Information Engineering College, China 1
  • Qingdao University of Science and Technology, School of Mechanical and Electrical Engineering, China 2

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 66(2020)9, 534-543

https://doi.org/10.5545/sv-jme.2020.6621

A product service system (PSS) has been developed for manufacturing enterprises to provide users with personalized products and services. The optimization of PSS scheme selection is a key stage in the PSS design phase. Given the dynamic characteristics of the multi-dimensional influencing factors and their coupling relationships, we propose a digital twin-driven framework to enhance the optimization of PSS scheme selection. The framework is divided into a digital twin layer, an information layer, and an approach layer. The logical relationship between the three layers is given, and a quantitative PSS scheme selection optimization mechanism is designed. Fuzzy numbers and rough boundary intervals are integrated for the attribute value determination of the PSS scheme. A modified TOPSIS developed by replacing Euclidean distance with relational vector distance is adopted for the PSS scheme assessment. A case of an air purification PSS scheme selection optimization under the proposed digital twin driven framework is studied. It is shown that the designed PSS scheme selection optimization mechanism is effective and can be enhanced with the presented framework.

product service system, scheme selection, digital twin, fuzzy assessment