Application of Evaluation System for Low-Carbon Industrial Park by Using AHP Method

2014 ◽  
Vol 1010-1012 ◽  
pp. 1839-1843
Author(s):  
Xiu Qin Ma ◽  
Ming Huan Li ◽  
You Shan Sun ◽  
Feng Yun Jin
Keyword(s):  
Evaluation System ◽  
Weight Coefficient ◽  
Energy Utilization ◽  
Industrial Park ◽  
Low Carbon ◽  
Analytic Hierarchy ◽  
Evaluation Standard ◽  
Industrial Parks ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

By using AHP (Analytic Hierarchy Process) method, the weight coefficient of evaluation system for low-carbon industrial park has been analyzed. The structure model and model matrix have been established. Combined with specialist suggestions, using calculation equations, the scores of the weight coefficient of evaluation system have been analyzed and determined. Finally a set of allocation scheme is developed reasonably and an evaluation standard for low-carbon industrial park is finished. Energy utilization and GHG management, recycle economic and environmental protection, financial security mechanism and application of planning are chosen as the criterion layer. The standard can be used as a guide to promote the supervision of low-carbon development for industrial parks in China.

Establishment and Application Research of Evaluation System for Low-Carbon Industrial Park - Case Study on Caofeidian Industrial Park in Hebei Province of China

2014 ◽  
Vol 694 ◽  
pp. 430-435
Author(s):  
Chao Huang ◽  
You Shan Sun ◽  
Ming Huan Li
Keyword(s):  
Evaluation System ◽  
State Level ◽  
Hebei Province ◽  
Industrial Park ◽  
Low Carbon ◽  
Score Distribution ◽  
Analytic Hierarchy ◽  
Complete Evaluation ◽  
Weight Analysis ◽  
Hierarchy Process

A complete evaluation system of low-carbon industrial park is introduced, which is developed by using Analytic Hierarchy Process (AHP) to weight analysis and by accepting experts’ advices. This evaluation system sets a low carbon industrial park evaluation index (A) as the target level and determines the factors in criterion level, state level, and indicator level, as well as system score distribution. Total score of it is 100 and the passing score is 60. With Caofeidian Industrial Park in Hebei Province for an example, this paper introduced the utilization of this evaluation system. With a total practical score of 58, this industrial park failed to pass the evaluation. By analyzing the scores of all indicators, the lack of management of greenhouse gas emissions and waste is pointed out as the main obstacles.

Research on Evaluation of Low Carbon Industrial Transfer Park Based on Extension Model

2013 ◽  
Vol 295-298 ◽  
pp. 787-793
Author(s):  
Jia Feng Fan ◽  
Hao Xu ◽  
Bang Zhu Zhu ◽  
Juan Yuan
Keyword(s):  
Human Life ◽  
Evaluation Model ◽  
Industrial Park ◽  
Low Carbon ◽  
Analytic Hierarchy ◽  
Industrial Transfer ◽  
Extension Method ◽  
Research On Evaluation ◽  
Extension Model ◽  
Hierarchy Process

An index system of low-carbon Industrial Transfer Park has been constructed form six aspects, which are planning, management, infrastructure, industry ecosystem, human life and carbon sinks. The park is evaluated by using the analytic hierarchy process and the extension method. The evaluation model is more comprehensive and objective than others to assess the degree of carbon emissions of the industrial park.

Evaluation Analysis of Intensive Design of Campus Based Analytic Hierarchy Process Method

2013 ◽  
Vol 357-360 ◽  
pp. 180-186
Author(s):  
Yang Wang ◽  
Mei Zhu ◽  
Sun Jian Qiu ◽  
Ping Sun
Keyword(s):  
Analytic Hierarchy Process ◽  
Evaluation System ◽  
Climate Adaptation ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Location Selection ◽  
Analytic Hierarchy Process Method ◽  
Natural Climate ◽  
Hierarchy Process ◽  
Process Method

This article aims to establish a scientific, quantifiable and workable comprehensive evaluation index system for the tendency of intensive design of the contemporary campus. The evaluation system of intensive design is divided into four levels and related indicators, including location selection, natural climate adaptation and eco-technology, and determine weight value of each indicator by using analytic hierarchy process method. The conclusion is that the weight of the location selection is the highest, following by the eco-technology, and the natural climate adaptation is the least important. Then it clears the development direction and goals of the intensive design of campus and sums up the points of campus intensive design.

Application of Fuzzy Analytic Hierarchy Process Method Based on SWOT Theory in Project Risk Evaluation

2013 ◽  
Vol 405-408 ◽  
pp. 3455-3458
Author(s):  
Wei Xu ◽  
Guo Ying Wang
Keyword(s):  
Analytic Hierarchy Process ◽  
Risk Evaluation ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Evaluation Standard ◽  
Construction Enterprises ◽  
Clear Identification ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Process Method

It is desired to solve the problem of facing risks and lack of clear identification method as well as evaluation standard in construction enterprises. The paper is concerned with the analysis of identifying risks by using SWOT technique. Particular attention is given to SWOT factors with the view to adopt the combination of quality and quantity analysis, which is carried out on the Fuzzy Analytic Hierarchy Process. It proposes an approach to overcome the disadvantages of analytic hierarchy process. At the same time it is intended to avoid risks in projects. In the light of combining with engineering examples, a detailed introduction of SWOT is made regarding the decision-making process by means of Fuzzy Analytic Hierarchy Process.

The Calculating Method and Application of Weight of Evaluation of Workshop Process Layout

2014 ◽  
Vol 543-547 ◽  
pp. 4408-4411
Author(s):  
Qiang Cheng ◽  
Tian Min Guan ◽  
Li Sun ◽  
Feng Bin Jing
Keyword(s):  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Weight Coefficient ◽  
Indicator System ◽  
Entropy Method ◽  
Analytic Hierarchy ◽  
Calculating Method ◽  
Real Value ◽  
Hierarchy Process ◽  
The Evaluation System

Weight is a real value reflecting the relative importance of the evaluation object in the comprehensive evaluation. After determining the indicator system, the weight of the indicator must be divided, in order to reflect the role, status and importance of the various indicators in the evaluation system of workshop process layout, which is to determine the weight coefficient of every indicator. In this paper, using group analytic hierarchy process (GAHP) and entropy method to determine the weight of the indicator of the evaluation system of workshop process layout.

A Discussion on Evaluation system of Disaster Prevention and Mitigation Resources in Community

2011 ◽  
Vol 143-144 ◽  
pp. 240-244
Author(s):  
Liang Yi ◽  
Ya Mei Zhang ◽  
Wei Huang ◽  
Wei Zhu
Keyword(s):  
Evaluation System ◽  
Weight Coefficient ◽  
Disaster Prevention ◽  
Analytic Hierarchy ◽  
Evaluation Indexes ◽  
The Public ◽  
Overall Evaluation ◽  
Hierarchy Process ◽  
The Relationship

Community is not only the cell of society, but also the basic component of city. To improve urban public disaster prevention and mitigation system must start from the safety construction of community. In the way of introducing the classification of urban community, summarize and analysis the public disaster prevention and mitigation resources in the community, sum up the relationship between public disaster prevention and mitigation resources and common disasters in community, construct evaluation system of community disaster prevention and mitigation resources. Using Analytic Hierarchy Process (AHP) and expert scoring, establish all evaluation indexes weight coefficient. Ultimately, assessing and grading single hazard prevention resources, on which base put forward an algorithm of overall evaluation of disaster prevention and reduction resources.

scholarly journals Subjective Product Evaluation System Based on Kansei Engineering and Analytic Hierarchy Process

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1340 ◽  
Author(s):  
Yaxue Zuo ◽  
Zhenya Wang
Keyword(s):  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Subjective Evaluation ◽  
Reliability And Validity ◽  
Objective Evaluation ◽  
Product Evaluation ◽  
Kansei Engineering ◽  
Analytic Hierarchy ◽  
Evaluation Indexes ◽  
Hierarchy Process

Product evaluation is very important for product improvement and development, and subjective product evaluation determines customer’s evaluation of products to some extent, so the purpose of this study is to establish a reasonable subjective product evaluation system. In this study, we comprehensively determine the evaluation indexes based on Kansei engineering (KE), establish an overall product evaluation system by using analytic hierarchy process (AHP), and establish the subjective product evaluation system by classifying the evaluation indexes in the overall product evaluation system into “objective evaluation index” and “subjective evaluation index”, removing the objective evaluation indexes, and retaining the subjective evaluation indexes. Additionally, we select some modern chairs as experimental samples to verify the reliability and validity of this subjective product evaluation system by means of questionnaires. The experimental results show that, in this subjective product evaluation system, the subjective evaluation of the product is positively correlated with the “favorite” level of the product in comprehensive evaluation, and negatively correlated with the “least favorite” level of the product in comprehensive evaluation, indicating that this subjective product evaluation system realizes a symmetry between subjective product evaluation and comprehensive product evaluation. Therefore, it can be concluded that this subjective product evaluation system based on KE and AHP proposed in this study has reliability and validity, and can be used for product evaluation to judge the popularity of products and enhance the competitiveness of products.

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