Digital Twin Driven Green Performance Evaluation Methodology of Intelligent Manufacturing: Hybrid Model Based on Fuzzy Rough-Sets AHP, Multistage Weight Synthesis, and PROMETHEE II

Abstract

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.

Sustainability Assessment of Intelligent Manufacturing Supported by Digital Twin

“…The most common means of assessing the reliability of the result is to compare it with other similar models. The discussion of the results is presented using the comparison of three models (PROMETHEE II [43][44][45], TOPSIS [37] and VIKOR [33]). These methods were chosen because they have so far given stable and reliable results.…”

“…At present there are many researches and applications on node importance evaluation in complex networks [39][40][41][42]. This paper considers the multi-type centrality attribute of nodes and introduces preference ranking organization methods for enrichment evaluations II (PROMETHEE II) [43][44][45] to determine the indicator importance degree. Considering the relationship among multiple indicators, the network attributes are used to analyze the interaction among indicators, which is more objective.…”

Assessment Framework of Green Intelligent Transformation of Small Hydropower in China

“…According to the index value data in Table 5 and weight assignment data in Table 6, VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) [24] and Preference Ranking Organization Method for Enrichment of Evaluations II (PROMETHEE II) [25] are adopted to make the comparison experiments for the feasibility verification of the proposed assessment framework. The comparison of the ranks of the 6 small hydropower stations based on the proposed framework, VIKOR and PROMETHEE II is shown in Table 11.…”

Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model

“…is paper attempts to evaluate the sustainable development level of coal enterprises by establishing a multi-layer forward neural network model based on the error back propagation algorithm (BP algorithm). It can avoid complex mathematical derivation and ensure stable results in the case of sample defect and parameter drift, It can also effectively avoid the classical sustainable development evaluation methods, such as the analytic hierarchy process [14][15][16], fuzzy mathematics [17][18][19][20][21][22], and principal component analysis [23,24] and cannot avoid the role of people's experience and knowledge and the personal subjective intention of decision-makers, which is of great benefit to solve the overall decision-making planning of coal enterprises. is paper will use the system theory to take the coal mine man-machine-environment-management system as the research object, establish the coal mine intrinsic safety evaluation system and evaluation model, comprehensively construct the coal mine intrinsic safety system through the specific and in-depth analysis of various factors of manmachine-environment-management, provide the basis for coal mine safety production and management, and improve the safety production level of the coal mine industry.…”