Comprehensive Evaluation of TPL Using Genetic Projection Pursuit Model with AHP in Supply Chain

Author(s):  
Fuguang Bao ◽  
Jiandong Si ◽  
Lei Zhang ◽  
Ertian Hua
2014 ◽  
Vol 889-890 ◽  
pp. 1604-1608
Author(s):  
Gong Gao

To explore new ideas for treating sludge in the urban rivers, 4 different sludge treatment schemes were proposed, the construction safety, projection duration, enthusiasm of the public, environmental coordination, resource utilization, supporting of government, benefits, and project cost of the schemes were selected as the main evaluation indexes, and the projection pursuit model was introduced to evaluate the schemes comprehensively. Results showed that: the evaluation and selection of sludge treatment schemes conformed to the calculation requirements of the projection pursuit model; S3 was the optimal sludge treatment scheme with best comprehensive benefits, the projection value of which was recorded as 1.198, much more than that of other treatments. Therefore, it was concluded that using sludge to produce brick (S3) was more appropriate for the sludge treatment in urban rivers, and which depended on the wide market of bricks and had good practical benefits. The study achievements could provide beneficial basis for the river management and the sludge treatment in cities, and also provide the practical basis for the application of statistical models on the selection of project schemes.


2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Chen Hongli ◽  
Wu Yanyan ◽  
Liu Xiuli ◽  
Zhang Wenju

Scientific evaluation of the competitiveness of China’s dairy industry is of great significance to the development of regional dairy industry. In view of the fact that the existing evaluation model cannot solve the dynamic nonlinear optimization problem, this paper established a projection pursuit model based on accelerating genetic algorithm and carried on the comprehensive evaluation and dynamic analysis on the competitiveness of dairy industry in China’s 31 provinces and cities (not including Hong Kong, Macao, and Taiwan) from five dimensions, namely, basic factors of production, the industry demand conditions, the enterprise competitiveness and growth force, related and supporting industries, and the natural environmental elements. It was found that firstly, from the perspective of time, the development trend of China’s dairy industry basically shows a positive trend. With the improvement of national living standards, the competitiveness of the dairy industry is also constantly improved. Secondly, from the perspective of space, regional differences in the competitiveness of the dairy industry are significant. Inner Mongolia, Heilongjiang, Shandong, and Hebei are at the forefront of the development of the industry, while the development of the dairy industry in the rest of the region has a big gap with those areas. From the perspective of regional layout, the advantageous region of China’s dairy industry has been preliminarily formed, and the competitive advantage is mainly concentrated in the northern region. Accordingly, the countermeasures and suggestions to enhance the competitiveness of China’s dairy industry were put forward.


2014 ◽  
Vol 602-605 ◽  
pp. 272-276
Author(s):  
Li Li Zhao ◽  
Yu Cai Dong ◽  
Lu Liu ◽  
Guan Yu Kou ◽  
Min Lin ◽  
...  

To overcome the deviation caused by the effect of subjective factors in drill wear evaluation, and make the evaluation more accurate and objective, on the basis of drill wear comprehensive evaluation criterion, the projection data are built with projection pursuit method. Two hundred drill wear comprehensive evaluation samples are randomly generated within the range of each class. The projection pursuit model is built by unitary processing according to these samples, which converts the evaluation into non-linear multi-constrained optimization problems. The optimal projection direction vector and the weight coefficient of each evaluation index are obtained with composite simplex method. Meanwhile the corresponding relationship between the region of variation of projection eigenvalue and classification grade is established. The precision of sample evaluation reaches 100% and the evaluation of the measured data achieves good effect. Thus, the scientific evaluation of drill wear is realized by the projection pursuit model.


2012 ◽  
Vol 490-495 ◽  
pp. 2956-2960
Author(s):  
Ling Zhang ◽  
Pu Kai Wang ◽  
Yu Cai Dong ◽  
Min Lin ◽  
Liang Hai Yi ◽  
...  

Projection Pursuit method invert a number of evaluating indicator into a one-dimensional projection values by the best projection direction, to avoid anthropogenic interference with the expert scoring factors. Application of projection pursuit method for three models of the submarine launched torpedoes capability to conduct a comprehensive evaluation, the best projection direction of the evaluation indicator is got, and a synthetic comprehensive evaluation order of the models is obtained. These supply scientific budget for the operational use , improvements and development of torpedoes.


2011 ◽  
Vol 204-210 ◽  
pp. 1326-1329
Author(s):  
Ben Lin Dai ◽  
Yu Long He ◽  
Jin Rong ◽  
Xiao Hui Jiang

Due to the increasingly serious water quality degradation on river, the study on river water quality status assessment has attracted more and more attention of the researchers and decision-makers. In this paper, water quality assessment of Fujiang River from January 2005 to December 2005 was studied by projection pursuit model (PPM). The water quality status of Fujiang River was assessed by the use of 10 monitoring sections, with DO, CODMn, BOD5, NH3-N, Petroleum, and Volatile phenol indicators. Based on the PPM analysis procedures, the assessed sections are described into 1 “category 1”, 4 “category 2” and 5 “category 3” states in 2005. The relative comparison results show that water quality status spatial order of Fujiang River from bad to good is: Fj09<Fj02< Fj10<Fj07< Fj03<Fj05<Fj04< Fj06<Fj08<Fj01.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Lili Wan ◽  
Qiuping Peng ◽  
Tianci Zhang ◽  
Zhan Wang ◽  
Yong Tian

In order to clarify the comprehensive operational capabilities of the airport and better plan the sustainable development mode of the airport, this paper studies the evaluation method of airport environmental carrying capacity. First, this paper proposes the concept of airport environmental carrying capacity by taking into account the complex characteristics of airports affected by multiple factors and then selects 16 representative evaluation indicators to construct an indicator system based on the Driving Force-Pressure-State-Response (DPSR) framework. Finally, the accelerated genetic algorithm-projection pursuit model is established to model a comprehensive evaluation index, which is used to calculate the airport environmental carrying capacity (AECC). The results of the case study show that the AECC of Guangzhou Baiyun International Airport (CAN) decreased year by year from 2008 to 2017, which is in line with the coordinated development level of CAN. By analysing the changing mechanism of AECC and indicators, we get 6 key influencing indicators that led to the continuous decline of AECC and put forward some political suggestions to improve the AECC.


Water Policy ◽  
2018 ◽  
Vol 20 (2) ◽  
pp. 410-428 ◽  
Author(s):  
Yongnan Zhu ◽  
Lei Li ◽  
Yong Zhao ◽  
Zhongmin Liang ◽  
Haihong Li ◽  
...  

Abstract We used system theory to analyze the structure of a regional drought disaster system and separated the drought disaster risk system into three subsystems. These were drought disaster-causing factors, disaster-inducing environments, and disaster-bearing bodies. Analysis of the main factors of these subsystems allowed the establishment of a regional comprehensive drought disaster risk evaluation index system. To simultaneously evaluate the distribution and development trends of the regional comprehensive drought disaster risk, we established a dynamic evaluation model. Based on the ideas of the projection pursuit clustering method and the dynamic comprehensive evaluation method, the model can make use of multi-dimensional space–time drought disaster information. The model was applied to evaluate comprehensive drought disaster risk in the Xuzhou region, China. The evaluation results show that the method was able to illustrate the development trend and distribution of the comprehensive drought disaster risk in the Xuzhou region. The clustering zoning results show that Pizhou City is the area with the highest risk in Xuzhou, while Fengxian has the lowest. The development trend of comprehensive drought disaster risk with time is not significant.


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