Evaluation of Green Manufacturing Level in China’s Provincial Administrative Regions Based on Combination Weighting Method and TOPSIS

Wang, Mingtao; Ye, Chunming; Zhang, Dingkun

doi:10.3390/su142013690

Cited by 5 publications

(4 citation statements)

References 19 publications

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“…The index values (Table 5) were dimensionally processed using the eight dimensionless methods from Table 4. The comparison intensity, conflict, information quantity, and weight of the 13 indexes were subsequently calculated using Equations ( 14)- (19). The comparison results are depicted in Figures 6-9.…”

Section: Resultsmentioning

confidence: 99%

“…According to references, the stability of goafs in metal underground mines is divided into four grades: I, II, III, and IV. Level II indicates poor stability of goafs; Level III indicates that goafs are more stable; and Level IV indicates 2 Advances in Civil Engineering greater goaf stability [19][20][21][22]. Tables 1 and 2 show the corresponding standards of indicators for the different goaf stability levels.…”

Section: Construction Of Evaluation Indexmentioning

confidence: 99%

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Stability Evaluation of the Goaf Based on Combination Weighting and Cloud Model

Guo,

Hou,

Sun

et al. 2024

Advances in Civil Engineering

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Goaf has become one of the most significant sources of hazard affecting the safety of metal and nonmetal mines. Evaluation of goaf stability is of paramount importance for mine safety production. First, 13 indices such as rock mass structure, geological structure, and goaf volume are selected based on engineering experience and literature review to assess the stability of goaf. These indices are classified according to the characteristics of each factor, and a stability evaluation system for underground mine goaf is constructed. Second, the analytic hierarchy process method based on group decision theory is utilized to calculate the subjective weight of each index. Additionally, the CRITIC method is used to calculate the objective weight of each index. Finally, game theory is used to combine the subjective and objective weights, thereby improving the accuracy of the index weight. The stability grade of the goaf is calculated using the normal cloud model. The FLAC3D numerical simulation is used to analyze the stability of the goaf and verify the accuracy of the model. The abovementioned model is utilized for assessing the stability of the goaf in the Duimenshan mine section. The results indicate that 90% of the goaf area is in a stable or relatively stable condition, while the remaining 10% is unstable. The evaluation outcomes were compared with FLAC3D numerical simulations, highlighting a scientific and reliable method with an accuracy rate of 90%.

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Section: Resultsmentioning

confidence: 99%

Section: Construction Of Evaluation Indexmentioning

confidence: 99%

Stability Evaluation of the Goaf Based on Combination Weighting and Cloud Model

Guo,

Hou,

Sun

et al. 2024

Advances in Civil Engineering

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“…(1) the technique for order of preference by similarity (TOPSIS), a multicriteria method whose aim is to rank in order of choice a certain number of alternatives based on a set of favorable or unfavorable criteria [18][19][20]; and (2) Faire Un Choix Adéquat (FUCA), which is based on a linear combination of the ranks that each alternative obtains with respect to each individual criterion [21].…”

Section: Methodsmentioning

confidence: 99%

A System Dynamics Approach to Valorize Overripe Figs in the Brewing of Artisanal Beer

Lagarda-Leyva,

Ruiz,

Morales-Mendoza

2024

Sustainability

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Craft beer production has grown extensively worldwide. The variety of products and grains that can be used in production make this artisanal product unique. In this study, we propose a system dynamics model that allows for the evaluation of different production scenarios in which figs are used as the main ingredient. This research is inspired by the real case of small fig producers in Valle del Mayo in Navojoa, Sonora, Mexico, who, in 2020, took on the challenge of creating a processing factory for fig-derived products. This paper presents the development and application of a system dynamics approach to model the entire supply chain of overripe figs, i.e., figs that cannot be marketed in prime quality but can still be used in the production of derivative products. The method used for its development encompasses the following stages: (1) defining the craft beer supply chain variables; (2) elaborating on causal diagrams; (3) producing model stock and flow diagrams; (4) model validation; (5) sensitivity analysis and scenario evaluations; and (6) building a graphical user interface (GUI). The proposed model allows managers to assess several production policies under various assumptions of capacity and beer demand, demonstrating its value as an effective tool for strategic decision making.

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“…The TOPSIS principle optimizes the evaluation object by calculating the relative distance ranking between the alternative scheme and the ideal solution and the negative ideal solution, which has been widely used in the science and technology of system engineering decision analysis [26,27]. In this paper, in order to ensure that the evaluation results are objective and scientific, the entropy method is employed to determine the weight of evaluation indicators to improve the traditional TOPSIS and the efficiency of agricultural land and non-agricultural land are measured, respectively.…”

Section: Land Use Efficiency Evaluation Modelmentioning

confidence: 99%

A Study on the Measurement of Comparative Advantage of Land Use Efficiency, Spatiotemporal Heterogeneity and Its Influencing Factors—An Empirical Test from the Panel Data of China’s Provincial Sub-Industry Types

Fan

Yang

et al. 2023

Sustainability

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The comparative advantage of land use efficiency can provide effective support for upgrading the industrial structure and optimizing the allocation of land resources. According to the agricultural industry and non-agricultural industry, the evaluation index system of land use efficiency is constructed by difference. By using China’s provincial panel data in 2010, 2015 and 2019 as an empirical test and comprehensively employing the comparative advantage model, GIS spatial analysis model, geographical weighted regression model and other algorithms, the land use efficiency and the comparative advantage were measured and evaluated to explore the evolution of spatial and temporal patterns and identify the influencing factors. The results showed the following: (1) The overall efficiency of agricultural land grew steadily, with regional differences transforming from expanding to narrowing, forming a gradually decreasing overall trend from the southeast coast to the northwest inland, and from the eastern plain to the western plateau. The overall efficiency of non-agricultural land was generally low, presenting an overall growth trend, and regional differences were progressively expanding, still showing a gradually decreasing trend in the eastern, central and western regions. (2) The overall comparative advantage of agricultural land efficiency showed a gradual decline trend, and the differences between regions were further narrowed. The high-value regions were still concentrated in the regions with superior agricultural resource endowment and showed a dominant advantage of the agricultural industry. The overall comparative advantage of non-agricultural land efficiency showed an increasing trend. The high-value areas were concentrated in urban agglomeration, metropolitan areas and other areas with high non-agricultural land efficiency, as well as the vast remote areas such as the northwest and southwest where the agricultural land efficiency was extremely low and the comparative advantage of non-agricultural land efficiency improved. (3) The spatial concentration of the comparative advantage of agricultural land and non-agricultural land efficiency was not obvious, which indicates that the comparative advantage of industrial land in China has not yet formed a trend of agglomeration development, but there were dense and obvious high-high agglomeration areas or low–low agglomeration areas in some local regions. (4) Significant regional differences were found to exist in the impact of various factors on the comparative advantages of agricultural land efficiency and non-agricultural land efficiency. The comparative advantage of land use efficiency can be relied on to promote the optimization and adjustment of industrial structure and guide the efficient allocation of land resources.

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Evaluation of Green Manufacturing Level in China’s Provincial Administrative Regions Based on Combination Weighting Method and TOPSIS

Cited by 5 publications

References 19 publications

Stability Evaluation of the Goaf Based on Combination Weighting and Cloud Model

Stability Evaluation of the Goaf Based on Combination Weighting and Cloud Model

A System Dynamics Approach to Valorize Overripe Figs in the Brewing of Artisanal Beer

A Study on the Measurement of Comparative Advantage of Land Use Efficiency, Spatiotemporal Heterogeneity and Its Influencing Factors—An Empirical Test from the Panel Data of China’s Provincial Sub-Industry Types

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