Health Assessment of Ecosystem in Manufacturing Enterprise Life Cycle Oriented

2014 ◽  
Vol 635-637 ◽  
pp. 1852-1856
Author(s):  
Nan Zhao ◽  
Qian Li ◽  
Hong Yu Shao
Keyword(s):  
Life Cycle ◽  
Index System ◽  
Ecosystem Health ◽  
Projection Pursuit ◽  
Principal Component ◽  
Evaluation Index System ◽  
Health Evaluation ◽  
Health Index ◽  
Manufacturing Enterprise ◽  
Enterprise Life Cycle

Based on the enterprise ecosystem theory and brittleness of complex systems theory, to propose the enterprise life-cycle manufacturing enterprise ecosystem health evaluation index system, from the growth, the stability, the resistance to brittle, the recoverability and the adaptability five dimensions, building enterprise ecosystem health index, applying Projection Pursuit Principal Component Analysis to achieve ecosystem health index calculation. By the example of Tianjin manufacturing enterprise ecosystem health evaluation, to verify an index system and algorithm reliability and operability constructed in the paper.

scholarly journals Research on Liquor Storage Based on Statistical Analysis Model

2021 ◽  
Vol 5 (3) ◽  
Author(s):  
Xuhua Xu
Keyword(s):  
Index System ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Evaluation Index System ◽  
Classification Model ◽  
Analysis Model ◽  
The Index System ◽  
Storage Methods ◽  
Physical And Chemical

According to the physical and chemical indexes of different periods, different storage containers and different storage sites, a two overall T test was used to show that there were significant differences in physical and chemical indexes of liquor body in different detection sites. Correlation analysis of wine storage in different storage methods by Spearman correlation coefficient. By using the principal component analysis method, the comprehensive evaluation index system of the quality of the wine body was constructed, and the classification model of the detection location based on the comprehensive evaluation was established by using the index system. The detection sites were classified, and the results showed that the detection sites were divided into four grades.

scholarly journals Identify and Assess Hydropower Project’s Multidimensional Social Impacts with Rough Set and Projection Pursuit Model

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hui An ◽  
Wenjing Yang ◽  
Jin Huang ◽  
Ai Huang ◽  
Zhongchi Wan ◽  
...  
Keyword(s):  
Rough Set ◽  
Index System ◽  
Social Impact ◽  
Projection Pursuit ◽  
Cultural Development ◽  
Evaluation Index System ◽  
Assessment Model ◽  
Evaluation Index ◽  
The Social ◽  
Projection Pursuit Model

To realize the coordinated and sustainable development of hydropower projects and regional society, comprehensively evaluating hydropower projects’ influence is critical. Usually, hydropower project development has an impact on environmental geology and social and regional cultural development. Based on comprehensive consideration of complicated geological conditions, fragile ecological environment, resettlement of reservoir area, and other factors of future hydropower development in each country, we have constructed a comprehensive evaluation index system of hydropower projects, including 4 first-level indicators of social economy, environment, safety, and fairness, which contain 26 second-level indicators. To solve the problem that existing models cannot evaluate dynamic nonlinear optimization, a projection pursuit model is constructed by using rough set reduction theory to simplify the index. Then, an accelerated genetic algorithm based on real number coding is used to solve the model and empirical study is carried out with the Y hydropower station as a sample. The evaluation results show that the evaluation index system and assessment model constructed in our paper effectively reduce the subjectivity of index weight. Applying our model to the social impact assessment (SIA) of related international hydropower projects can not only comprehensively analyze the social impact of hydropower projects but also identify important social influencing factors and effectively analyze the social impact level of each dimension. Furthermore, SIA assessment can be conducive to project decision-making, avoiding social risks and social stability.

Study on Evaluation Index System of Green Supply Chain for Automobile Products

2020 ◽  
pp. 231-240
Author(s):  
Rafia Khan
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Automobile Industry ◽  
Index System ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Green Supply Chain ◽  
Green Development ◽  
Whole Life Cycle

It is the focus of the automobile industry to guarantee the quality of automobiles and meet the requirements of green development. Based on the principle of sustainable development, according to the characteristics of green supply chain and the concept of the whole life cycle of the automobile, the evaluation index system of the green supply chain of the automobile is constructed from five links of design, purchase, production, sale, and recycling. The “green” runs through the whole life cycle of automobile products and evaluates the green supply of automobile products scientifically and accurately. Reference should be provided for the situation.

Research on Evaluation Index System for Green Manufacturing Based on PSR Model and Life Cycle

2010 ◽  
Vol 34-35 ◽  
pp. 79-84 ◽  
Author(s):  
Qing Song Wang ◽  
Xue Liang Yuan ◽  
Da Yong Cao ◽  
Chun Yuan Ma ◽  
Kai Zhang
Keyword(s):  
Life Cycle ◽  
Index System ◽  
Green Manufacturing ◽  
Indicator System ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Research On Evaluation ◽  
Life Cycle Theory ◽  
Rapid Economic Growth ◽  
Environmental Attributes

Green manufacturing is the important manufacturing pattern to achieve sustainable development. The core is to reduce the damage on the environment and to realize sustained rapid economic growth. The Paper establishes evaluation index system of green manufacturing using life cycle theory and the “pressure - state – response” model. The index system is the 3-tier indicator system, a total of 39 sub-indicators, including 17 environmental attributes index, 8 energy property index, 7 resource properties index and 7 economic attributes index.

scholarly journals Research on the Construction of Multi-dimensional Power Grid Enterprise Asset Health Evaluation Index System

2021 ◽  
Vol 257 ◽  
pp. 02071
Author(s):  
Jia Xu Cheng ◽  
Guan Ran Wang ◽  
Jin Liu
Keyword(s):  
Index System ◽  
Power Grid ◽  
Health Assessment ◽  
Evaluation Index System ◽  
Three Dimensions ◽  
Evaluation Index ◽  
Health Evaluation ◽  
Factors Affecting ◽  
Multiple Dimensions ◽  
External Power

Most power grid companies are asset-intensive and technology-intensive companies. Therefore, the quality and health of assets and equipment are crucial to the sustainability of the development of power grid companies and the safety of power grid development. To power grid companies through multiple dimensions Decompose the evaluation index of asset health, find the key factors affecting the asset health evaluation of power grid enterprises, and find a way to solve the problem for the subsequent improvement of the health of power grid enterprises’ assets. This paper describes the SMART criteria for asset health assessment, combining the principles of index selection and index grading, and clarifies the principles of constructing the evaluation index system. On this basis, from the three dimensions of physical, economic and social, and considering the internal and external power grid enterprises, a multi-dimensional asset health evaluation index system has been established.

scholarly journals The Construction and Empirical Study on Evaluation Index System of International Low-Carbon Economy Development

2021 ◽  
Vol 9 ◽  
Author(s):  
Zhang Zhongyu ◽  
Zhang Zhongxiang
Keyword(s):  
Index System ◽  
Global Climate ◽  
Principal Component ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Energy Structure ◽  
Principal Component Factor Analysis ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Carbon Economy

Global climate change has become one of the core issues of world governance. Many countries have put forward the goal of carbon neutrality one after another, leading to the intensification of international low-carbon economy competition. To assess the current low-carbon competitiveness among countries, this article constructs an evaluation index system of international low-carbon economy development, and obtains the scores and rankings of countries in energy, society, economy and environment, as well as overall. Taking 20 countries with the highest carbon emissions in the world in 2019 as samples, starting from the concept of low-carbon economy and five evaluation principles, this article selects 40 low-carbon evaluation indicators from five aspects, including economy, society, science and technology, environment, and energy structure. By using the principal component factor analysis method to calculate and test, the four factors, energy factor, society factor, economy factor, and environment factor, are finally extracted to construct the evaluation index system. Results show that South Korea, France, China, Canada, and Germany are among the world’s top five low-carbon economies. The overall competitiveness of China’s low-carbon economy is in a relatively favorable position (3rd overall), with the most outstanding performance in terms of economic strength (1st), but poor performance in terms of social development (9th) and environmental carrying capacity (9th), and the biggest disadvantage in terms of energy structure (13th).

Effect Evaluation of Video Surveillance System on the Basis of Principal Component Analysis

2015 ◽  
Vol 713-715 ◽  
pp. 479-481
Author(s):  
Tao Zhu ◽  
Wei Jun Hong
Keyword(s):  
Principal Component Analysis ◽  
Video Surveillance ◽  
Index System ◽  
Surveillance System ◽  
Principal Component ◽  
Component Analysis ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Video Surveillance System ◽  
Effect Evaluation

The effect evaluation of video surveillance system is important for the effect of expected protection on the system. A comprehensive effect evaluation index system of video surveillance system is established. The Principal Component Analysis (PCA) method is applied on the established index system to obtain a new evaluation index system. It is proved in instances that the effect evaluation method of video surveillance system with the application of the index system is capable of evaluating the video surveillance system effectively and quantitatively. The protective effect of the video surveillance system is evaluated objectively on the basis of the new index system with the PCA.

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