Evaluation of Chinese New Manufacturing Development Based on Factor Analysis

2011 ◽  
Vol 320 ◽  
pp. 584-588
Author(s):  
Wei Sun
Keyword(s):  
Factor Analysis ◽  
Evaluation System ◽  
Manufacturing Industry ◽  
Development Research ◽  
Analysis Method ◽  
Practical Application ◽  
Development Factor ◽  
Study Evaluation ◽  
The Status ◽  
Selection Of

By selection of a series of indicators, this paper study evaluation of Chinese new manufacturing development. Factor analysis method is used to evaluate the status of the development of new manufacturing. The theoretical framework and practical application of the evaluation system is studied in detail in the paper. Empirical analysis is used in the paper based on statistics of manufacturing industry from 2003 to 2008. The results show that manufacturing industry is sustainable development. Research results are consistent with the actual situation. It shows that this study is scientific and objective.

Financial Quality Evaluation of Listed Companies Based on Factor Analysis Method

2013 ◽  
Vol 401-403 ◽  
pp. 2247-2251
Author(s):  
Zhi Hong Lin ◽  
Ting Ting Guo
Keyword(s):  
Factor Analysis ◽  
Manufacturing Industry ◽  
Comprehensive Evaluation ◽  
Listed Companies ◽  
Management Decision ◽  
Analysis Method ◽  
Electrical Machinery ◽  
Financial Quality ◽  
Financial Index ◽  
Spss Software

Financial index of listed companies is the key to understanding and evaluating the company's financial quality. This article introduces the method of factor analysis in comprehensive evaluation of financial quality, uses SPSS software for a comprehensive evaluation of electrical machinery and equipment manufacturing industry 10 listed companies financial quality, in order to provide support for investors and managers to make investment decisions and management decision.

scholarly journals Evaluation of the Software Industry Competitiveness in Jilin Province Based on Factor Analysis

2015 ◽  
Vol 14 (4) ◽  
pp. 101-108
Author(s):  
Pinchao Meng ◽  
Weishi Yin ◽  
Yanzhong Li
Keyword(s):  
Factor Analysis ◽  
Statistical Analysis ◽  
Evaluation System ◽  
Software Industry ◽  
Evaluation Model ◽  
Jilin Province ◽  
Analysis Method ◽  
Statistical Analysis Method ◽  
Set Up ◽  
Economic Indices

Abstract In this paper 12 economic indices of the software industry in 30 cities/provinces in China are used to set up an evaluation system for the competitiveness of the regional software industry. By using the statistical analysis method of factor analysis, an evaluation model of the comprehensive competitiveness of the software industry for each city/province is built. Taking Beijing and Shanghai as examples, the comprehensive competitiveness and problems of the software industry in Jilin province are compared and analyzed.

Developing an Urban Residential District Plan Competition Assessment System for China

2013 ◽  
Vol 807-809 ◽  
pp. 1815-1818
Author(s):  
Xiao Peng Zhang ◽  
Bo Yang Zhao
Keyword(s):  
Evaluation System ◽  
Sustainability Assessment ◽  
Evaluation Process ◽  
Assessment System ◽  
Decision Makers ◽  
Assessment Tools ◽  
The Status ◽  
Residential District ◽  
Sustainability Assessment Tools ◽  
Selection Of

The purpose of this research is to combine the sustainability evaluation system of China and put forward a sustainability assessment system based on urban residential district plan competition program. In this research, the status quo of the evaluation process was studied. As the core of the research, the establishment of URDPAS complements the assessment technology of residential district plan competition. The existing area scale sustainability assessment tools were analyzed. With the application of ANP method to determine the evaluation items and weighting system in urban residential district plan, decision-makers can use this evaluation process and assessment system to assess the residential district plans more comprehensively and rationally than using traditional methods and the selection of the best plan becomes relatively easier.

scholarly journals Performance Evaluation of Commercial Banks Based on Factor Analysis

2020 ◽  
Vol 214 ◽  
pp. 02017
Author(s):  
Qin Lv ◽  
Yingdong Wang ◽  
Dijia Zhang ◽  
Muyang Yang ◽  
Yueming Zheng
Keyword(s):  
Factor Analysis ◽  
Performance Evaluation ◽  
Commercial Banks ◽  
Evaluation System ◽  
Main Part ◽  
Operating Conditions ◽  
Financial Data ◽  
Analysis Method ◽  
Performance Evaluation System ◽  
Late Start

China’s commercial banks are the main part of the country’s financial system and a key link in the national economy. However, because of the late start of commercial banks in China, the performance evaluation system of commercial banks is not perfect. Based on the financial data of 36 listed commercial banks in 2018, this paper uses factor analysis method to evaluate the performance of commercial banks, and analyzes the operating conditions of commercial banks.

Selection of elite F3 lines in cucumber using factor analysis method

2019 ◽  
Vol 26 (5) ◽  
pp. 498-505
Author(s):  
F. S. Moslemi ◽  
M. Dianati ◽  
J. A. Olfati ◽  
Y. Hamidoghli
Keyword(s):  
Factor Analysis ◽  
Analysis Method ◽  
Selection Of

scholarly journals Safety Climate in the Indian Manufacturing Industry - An Exploratory Study

2018 ◽  
Vol 4 (1) ◽  
pp. 39
Author(s):  
Narayanappa Thimmarayappa Vijalapura ◽  
Swamy Devappa Renuka ◽  
Pranesh Krishnamurthy
Keyword(s):  
Factor Analysis ◽  
Exploratory Study ◽  
Manufacturing Industry ◽  
Partial Least Squares Regression ◽  
Safety Climate ◽  
Manufacturing Sector ◽  
Manufacturing Industries ◽  
Least Squares Regression ◽  
The Status ◽  
Indian Manufacturing Sector

Research indicates safety climate is used to measure the safety of an organization. However, very few studies examine the status of safety climate in the manufacturing sector. This paper aims to explicate the status of safety climate in the Indian manufacturing sector. Four hundred fifty employees from 13 manufacturing industries in Karnataka were sampled. Perception data about the safety in their respective plants was collected using self-reporting questionnaires. The data was subjected to factor analysis, and Partial Least Squares regression was run to determine the nature of the relationships the constructs shared with Safety Climate.

scholarly journals Faktor-faktor penunjang produk nano spray dengan metode factor analysis

2021 ◽  
Vol 3 (1) ◽  
pp. 9-20
Author(s):  
Ai Nurhayati
Keyword(s):  
Factor Analysis ◽  
Analysis Method ◽  
Main Factors ◽  
Selection Of

This study aims to identify supporting factors in the selection of nano spray products. This study uses factor analysis method through SPSS statistics software. The results showed that there are two main factors that support nano spray products, namely tool and content factors. Keywords: Factor analysis, Nano spray, SPSS, Statistics

Study and Application of Supplier Performance Evaluation System Based on the Triple-A Supply Chain

2013 ◽  
Vol 397-400 ◽  
pp. 2636-2640 ◽  
Author(s):  
Hai Dong ◽  
Shuang Dong
Keyword(s):  
Supply Chain ◽  
Performance Evaluation ◽  
Evaluation System ◽  
Manufacturing Industry ◽  
Rapid Development ◽  
Core Competitiveness ◽  
External Resources ◽  
Performance Evaluation System ◽  
Supplier Performance ◽  
Selection Of

With the rapid development of economic globalization and the increasing international competition, enterprises pay more and more attention to external resources in order to save costs and strengthen their core competitiveness. Thus, the supplier becomes one important competitive factor for manufacturing industry. Combining with the characteristics of the triple-A supply chain, enterprises are helped to evaluate and select suppliers with scientific and effective ways. Firstly, the three characteristics of the triple-A supply chain, including the agility, adaptability and alignment, were analyzed and studied; Secondly, a set of supplier performance evaluation system was designed on the basis of the triple-A supply chain theory, and the weight of index system was designed by using EAHP. Finally, numerical examples show that the selection of superior suppliers is provided a good support by the supplier performance evaluation system based on the triple-A supply chain.

Optimization of Fracturing Parameters in Changning Shale Based on a New Comprehensive Multi-Factor Analysis Method

2021 ◽  
Author(s):  
Bo Zeng ◽  
Jian Liu ◽  
Yi Song ◽  
Xiaojin Zhou ◽  
Xingwu Guo ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Principal Stress ◽  
Correlation Method ◽  
Influential Factors ◽  
Gas Content ◽  
Analysis Method ◽  
Analysis Model ◽  
Entropy Weight ◽  
Selection Of ◽  
Hydrocarbon Productivity

Abstract Horizontal well multi-cluster fracturing technology is the most effective technical approach to exploit unconventional reservoirs (such as shale). The hydrocarbon productivity after fracturing often depends on the selection of fracturing location and fracturing parameters. However, these influencing parameters are very diverse and coupled with each other. Numerical simulation methods and laboratory experiment methods are often complicated to reflect the nonlinear relationship. Therefore, this study develops a new multi-factor analysis method based on field data to explore fracturing parameters’ weights that affect the hydrocarbon productivity after fracturing. This method combined the grey correlation method and entropy weight method to establish a combined weight analysis model. This method can comprehensively evaluate the influence factors on the post-fracturing productivity and ensure the accuracy of the obtained results through a field test. In our study, the influence of geological and fracturing parameters on 50 horizontal wells in Changning Shale is analyzed using the new method. These 50 wells are from the same block but have different values of fracturing parameters. The analysis results show that the fracturing parameters’ weight rankings on the post-fracturing productivity are fluid injection intensity, injection sand intensity, cluster spacing, injection rate, stage length, and average pump pressure. The weight rankings of geologic parameters affecting post-fracturing productivity are total gas content, brittle mineral content, porosity, Young’s modulus, minimum principal stress, total organic carbon, Poisson’s ratio, and maximum principal stress. Our study provides a new means of analyzing the influential factors of the in-situ hydraulic fracturing. Also, it gives a helpful guide for the selection of fracturing parameters in Changning Shale.

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