Digital Twin Driven Green Performance Evaluation Methodology of Intelligent Manufacturing: Hybrid Model Based on Fuzzy Rough-Sets AHP, Multistage Weight Synthesis, and PROMETHEE II
Joint Authors
Li, Lianhui
Mao, Chunlei
Sun, Hongxia
Yuan, Yiping
Lei, Bingbing
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-24, 24 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-16
Country of Publication
Egypt
No. of Pages
24
Main Subjects
Abstract EN
The design, planning, and implementation of intelligent manufacturing are mainly carried out from the perspectives of meeting the needs of mass customization, improving manufacturing capacity, and innovating business pattern currently.
Environmental and social factors should be systematically integrated into the life cycle of intelligent manufacturing.
In view of this, a green performance evaluation methodology of intelligent manufacturing driven by digital twin is proposed in this paper.
Digital twin framework, which constructs the bidirectional mapping and real-time data interaction between physical entity and digital model, provides the green performance evaluation with a total factor virtual image of the whole life cycle to meet the monitoring and simulation requirements of the evaluation information source and demand.
Driven by the digital twin framework, a novel hybrid MCDM model based on fuzzy rough-sets AHP, multistage weight synthesis, and PROMETHEE II is proposed as the methodology for the green performance evaluation of intelligent manufacturing.
The model is tested and validated on a study of the green performance evaluation of remote operation and maintenance service project evaluation for an air conditioning enterprise.
Testing demonstrates that the proposed hybrid model driven by digital twin can enable a stable and reasonable evaluation result.
A sensitivity analysis was carried out by means of 27 scenarios, the results of which showed a high degree of stability.
American Psychological Association (APA)
Li, Lianhui& Mao, Chunlei& Sun, Hongxia& Yuan, Yiping& Lei, Bingbing. 2020. Digital Twin Driven Green Performance Evaluation Methodology of Intelligent Manufacturing: Hybrid Model Based on Fuzzy Rough-Sets AHP, Multistage Weight Synthesis, and PROMETHEE II. Complexity،Vol. 2020, no. 2020, pp.1-24.
https://search.emarefa.net/detail/BIM-1141731
Modern Language Association (MLA)
Li, Lianhui…[et al.]. Digital Twin Driven Green Performance Evaluation Methodology of Intelligent Manufacturing: Hybrid Model Based on Fuzzy Rough-Sets AHP, Multistage Weight Synthesis, and PROMETHEE II. Complexity No. 2020 (2020), pp.1-24.
https://search.emarefa.net/detail/BIM-1141731
American Medical Association (AMA)
Li, Lianhui& Mao, Chunlei& Sun, Hongxia& Yuan, Yiping& Lei, Bingbing. Digital Twin Driven Green Performance Evaluation Methodology of Intelligent Manufacturing: Hybrid Model Based on Fuzzy Rough-Sets AHP, Multistage Weight Synthesis, and PROMETHEE II. Complexity. 2020. Vol. 2020, no. 2020, pp.1-24.
https://search.emarefa.net/detail/BIM-1141731
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141731