文献类型：期刊文献

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

作者：Li, Yan[1];Li, Lianhui[2]

通讯作者：Li, LH[1]

机构：[1]Xinxiang Univ, Comp & Informat Engn Coll, Xinxiang, Henan, Peoples R China;[2]North Minzu Univ, Sch Mech & Elect Engn, Yinchuan, Ningxia, Peoples R China

第一机构：新乡学院计算机与信息工程学院

通讯机构：[1]corresponding author), North Minzu Univ, Wenchang St 204, Yinchuan 750021, Ningxia, Peoples R China.

年份：2020

卷号：66

期号：9

起止页码：534-543

外文期刊名：STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING

收录：;EI(收录号：20204609473498);Scopus(收录号：2-s2.0-85095680420);WOS:【SCI-EXPANDED(收录号:WOS:000579918100006)】；

基金：This work is supported by the Curriculum Reform Project of Teacher Education in Henan Province (B054), Ningxia Natural Science Foundation (2020AAC03202) and the Third Batch of Ningxia Youth Talents Supporting Program (TGJC2018048). The authors also would thank Hongxia Sun, Bingbing Lei, Chuntao Zhang and Chunlei Mao for their contributions to this work.

语种：英文

外文关键词：Product service system; scheme selection; digital twin; fuzzy assessment

摘要：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.