Local Revision of Pavement Performance Index Weights by Modified Analytic Hierarchy Process

ICCTP 2011 ◽  
2011 ◽  
Author(s):  
Huaizhi Zhang ◽  
Yanhai Yang
2021 ◽  
Vol 251 ◽  
pp. 01067
Author(s):  
Yuexiong Gong ◽  
Wei Ying ◽  
Yunxun Yu ◽  
XiaoZhong Zhou ◽  
Xiaping Fan

Taking Hangzhou cigarette factory as an example, this paper establishes a key performance index system through integrating the balanced scorecard (BSC) and key performance index (KPI). The index system includes the first-level and 13 second-level indicators in four dimensions of finance, customers, internal processes, as well as learning and growth. Through Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation method, it constructs an evaluation model of key corporate performance, finally achieves the actual performance levels of the enterprise, as well as puts forward the improvement suggestions. This evaluation method mainly includes the steps of determining the domain of evaluation factors at all levels, determining the evaluation level, determining fuzzy weight vectors of various indexes, establishing the fuzzy relation matrix and calculating comprehensive evaluation results. It has high accuracy in the process of performance evaluation, which has certain reference and guiding significance for improving the comprehensive competitiveness.


2013 ◽  
Vol 409-410 ◽  
pp. 1004-1007
Author(s):  
Wan Sun ◽  
Jun Ling Wang ◽  
Cui Min Feng ◽  
Ping Cao ◽  
Wei Han

The performance index system weighting of urban water supply was determined by using analytic hierarchy process. Firstly, the water supply performance index system class hierarchy was established, and then the expert scoring was conducted, the judgment matrix established, and the qualitative index quantified. Secondly, the eigenvector analytic hierarchy was sorted, and then, the indicators weights were determined. Therefore, the weight coefficient of index system by analytic hierarchy process is objective and applicable, and lay a good foundation for the performance evaluation.


Author(s):  
Antonio Lombardi Netto ◽  
Valerio Antonio Pamplona Salomon ◽  
Miguel Ortiz-Barrios

There is an increasing pressure by community and customers forcing companies to insert environmental concerns in their practices. To help companies initiatives, the green bonds market was incepted. Our research question is how to select bonds in a growing billion-dollar market. This paper presents a multi-criteria decision analysis (MCDA) model to enable investors identify opportunities based not only in opinions, but grounded on objective facts. Analytic Hierarchy Process (AHP) and Complex Proportional Assessment (COPRAS) are two MCDA methods applied in this paper. Top-fifteen green bonds ranked by specialized media were assessed with the proposed MCDA model. Criteria included the Environmental Performance Index (EPI) proposed by Yale University, and common financial indicators as assets, risks (β), and dividends. The new AHP–COPRAS rank is compared with another published by specialized media.


2016 ◽  
Vol 26 (1) ◽  
pp. 63 ◽  
Author(s):  
Bedy Sudjarmoko ◽  
Agus Wahyudi ◽  
Ermiati Ermiati ◽  
Abdul Muis Hasibuan

<p class="IsiabstrakIndonesia">Production and export of Indonesian pepper in the world market has declined because of low in productivity, quality and product diversification, inefficient marketing chain and lack of technology transfer to farmers level. The study was conducted to identify and analyze export problems in pepper, and to formulate strategies and policies for pepper export development. This study used primary and secondary data. Data were analyzed with Trade Performance Index and Analytic Hierarchy Process. The results showed that the problems in Indonesian pepper export were low competitiveness and productivity, poor infrastructure, inappropriate institutional farmers and traders, high interest rates and improper policy implementation. The recommended grand strategies for pepper export development were resources optimization, infrastructure and institutional development, financing schemes, and strengthening policy implementation.</p>


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