AHP-DEMATEL Based Research on the Influencing Factors of the Daily Maintenance Costs of China's National and Provincial Trunk Highways

2021 ◽  
Vol 11 (5) ◽  
pp. 104-112
Author(s):  
Muzammal Mehmood ◽  
Zhang BaoJing

Highway maintenance is equally crucial across borders; this paper first conducts statistics and case study research on daily federal and provincial highway maintenance costs in China's principal influencing factors. Finally, it looks at those results with the tools of AHP-DEMAT. Yet, the overall degree of influence of each factor of influence is collected to classify the significant influence factors. The results found that: the main factors influencing the daily maintenance costs of national and provincial trunk highways are: highway grade, traffic flow, service life, structure type, topography, pavement thickness, and pavement width; the influence of climate factors on costs can be adequately considered when formulating standards for daily maintenance costs for provinces/regions with a broad geographic range.

2014 ◽  
Vol 54 (10) ◽  
pp. 1853 ◽  
Author(s):  
N. G. McPhail ◽  
J. L. Stark ◽  
A. J. Ball ◽  
R. D. Warner

Chilled lamb meat exported from Australia has, on occasions, been rejected by importing countries due to greening, after only 6 weeks of storage time. Greening is known to be more prevalent in high ultimate pH (pHu) beef meat (>5.9). There are few data available for lamb carcasses in Australia on the occurrence of high pHu meat, which may have an impact on the understanding and control of quality and greening during storage. The aim of this project was to determine the prevalence of, and influencing factors for, high pHu meat in a range of muscle types in lamb carcasses in Australia. Muscle pHu data were collected from a total of 1614 carcasses from 78 lots at four lamb processing plants in Victoria and New South Wales in autumn and spring of 2013. The pHu of the knuckle (rectus femoris), rack (longissimus) and blade (infraspinatus) was measured and data on carcass and lot characteristics were recorded. Data were subjected to restricted maximum likelihood and generalised linear mixed model analysis. The mean pHu of the knuckle, rack and shoulder were 6.06, 5.79 and 6.12 respectively, and the main factors influencing muscle pHu and occurrence of dark-cutting were breed, season, electrical stimulation and carcass weight. Merino lambs had a higher pHu in the blade and knuckle than did other breeds (P < 0.05, P < 0.01 respectively). Lambs processed in autumn had a higher predicted pHu in the blade and knuckle and a higher percentage dark-cutting (DC; pHu >6.0) for those muscles, than did those processed in spring (P < 0.05). Carcasses that had been electrically stimulated had a higher %DC and a higher pHu in all three muscles (P < 0.05). Carcass weight had a significant effect on the pHu of all three muscles (P < 0.001), with heavier carcasses having a lower pHu and lower %DC. The pHu of the rack was not a reliable predictor for the pHu in other muscles of the lamb carcass. In conclusion, the high occurrence of DC in the muscles, particularly the blade and knuckle, suggests that these muscles may be at risk for producing greening in the vacuum bag during storage.


2018 ◽  
Vol 53 ◽  
pp. 01012 ◽  
Author(s):  
Wei Pan ◽  
Caijia Lei ◽  
Wei Jia ◽  
Hui Gao ◽  
Binghua Fang

Regarding analysis of load characteristics of a power grid, there are multiple factors that influence the variation of load characteristics. Among these factors, the influence of different ones on the change of load characteristic is somewhat different, thus the degree of influence of various factors needs to be quantified to distinguish the main and minor factors of load characteristics. Based on this, the grey relational analysis in the grey system theory is employed as the basis of mathematical model in this paper. Firstly, the main factors affecting the load characteristics of a power grid are analysed. Then, the principle of quantitative analysis of the influencing factors by using grey relational grade is introduced. Lastly, the load of Guangzhou power grid is selected as the research object, thereby the main factor of temperature affecting the load characteristics is quantitatively analysed, such that the correlation between temperature and load is established. In this paper, by investigating the influencing factors and the degree of influence of load characteristics, the law of load characteristics changes can be effectively revealed, which is of great significance for power system planning and dispatching operation.


2013 ◽  
Vol 4 (1) ◽  
pp. 141-161 ◽  
Author(s):  
Tomola Marshal Obamuyi

The study seeks to determine the main factors influencing investment decisions of investors and how these factors are related to the investors’ socio-economic characteristics in the Nigerian Capital Market. The study covers individual investors using convenient sampling method to obtain information from 297 respondents through a modified questionnaire developed by Al-Tamimi (2005). Independent t- test, Analysis of variance (ANOVA) and post hoc tests were employed. The results indicate that the five most influencing factors on investment decisions of investors in Nigeria are past performance of the company’s stock, expected stock split/capital increases/bonus, dividend policy, expected corporate earnings and get-rich-quick. Also, the five least influencing factors include religions, rumors, loyalty to the company’s products/services, opinions of members of the family and expected losses in other investments. The study finds that the socio-economic characteristics of investors (age, gender, marital status and educational qualifications) statistically and significantly influenced the investment decisions of investors in Nigeria. With regard to the past performance of the company’s stock as an assessing factor, groups of investors statistically differed in factor assessment, as segments of a group considered the factor as the most important/unimportant. Since the identified most influencing factors are usually classified as wealth maximising factors, the study recommends that the investment climate and the market environment be made friendly and conducive to attract investors by creatively developing programmes and policies that impact on investors’ decisions in order to maximise the value of the firms and enhance the wealth of the investors. The market players should re-organise the market and implement accommodating policies which will eliminate fraud and resolve the leadership crisis in the market.


2017 ◽  
Vol 14 (1) ◽  
pp. 162-167
Author(s):  
Bin Li

The movie and TV art industry of Weifang especially the theater is researched as the object in this paper. After looking through a large number of reference, the main factors influencing the management of the movie and TV art industry are determined. The evaluation system of the movie and TV art industry management is constructed. Using AHP to get the weight of each evaluation factor, the five-dimension set is established as excellent, good, general, poor, very poor. Using the expert group to score the second-level influencing factors, the evaluation vector of the movie and TV art industry management could be obtained. According to the maximum principle to determine the evaluation results of the movie and TV art industry management, and a simulation calculation is carried out.


2014 ◽  
Vol 884-885 ◽  
pp. 345-348 ◽  
Author(s):  
Lei Shang ◽  
Hai Li Yang ◽  
Hong Xu ◽  
Yun Gang Li

Magnetic properties of silicon steel mainly depend on the internal organizational structure and chemical composition. The main factors affecting magnetic properties of silicon steel are analyzed and summarized, including grain size, inclusions (size, type, quantity, and morphology), crystal texture, internal stress, dimensional accuracy, the surface quality of steels, and chemical composition. The impact mechanism of the factors influencing silicon steel magnetic property is explained and these influence factors are interrelated.


2014 ◽  
Vol 631-632 ◽  
pp. 94-98
Author(s):  
Xue jun Wang ◽  
Ji Xiang Zhang ◽  
Zhen Gao Zhang ◽  
Ming Zhi Liu

With the rapid development of power industry, the load rate which describes the power characteristics is playing a more and more important role, this paper uses the grey correlation analysis to find the relationship between the load rate and the influence factors based on the historical data of the load rate influence factors and analyzes the weight of each influence factor quantitatively through the grey correlation coefficient so as to reflect the influence degree of different factors on load rate, meanwhile, through the analysis of various influencing factors of load rate, this paper hopes to clarify its effects on the load rate which includes strength, size and the order and help the power grid enterprise choose the key factors influencing the load rate which provide a basis for the future to improve the load rate.


2013 ◽  
Vol 401-403 ◽  
pp. 2205-2208 ◽  
Author(s):  
Huai Zhong Li ◽  
Tong Jing ◽  
Hong Zhang

Wind energy has become a leading developing direction in electric power. The high cost associated with turbine maintenance is a key challenging issue in wind farm operation as wind turbines are hard-to access for inspection and repair. Analysis of an onshore wind farm is carried out in this paper in terms of the operation, failure, and maintenance. Failures are categorized into three classes according to the downtime. It is found that the pitch, gearbox and generator have the most amount of downtime, while the most number of failures is from the pitch and electric system. A discrete-event model is developed by using Arena to simulate the operation, failure occurrence, and maintenance of the wind turbines, with an aim to determine the main factors influencing maintenance costs and the availability of the turbines in the wind farm.


2018 ◽  
Vol 22 (1) ◽  
pp. 317-329 ◽  
Author(s):  
Erik Mostert

Abstract. Currently the most popular approach in socio hydrology is to develop coupled human–water models. This article proposes an alternative approach, qualitative case study research, involving a systematic review of (1) the human activities affecting the hydrology in the case, (2) the main human actors, and (3) the main factors influencing the actors and their activities. Moreover, this article presents a case study of the Dommel Basin in Belgium and the Netherlands, and compares this with a coupled model of the Kissimmee Basin in Florida. In both basins a pendulum swing from water resources development and control to protection and restoration can be observed. The Dommel case study moreover points to the importance of institutional and financial arrangements, community values, and broader social, economic, and technical developments. These factors are missing from the Kissimmee model. Generally, case studies can result in a more complete understanding of individual cases than coupled models, and if the cases are selected carefully and compared with previous studies, it is possible to generalize on the basis of them. Case studies also offer more levers for management and facilitate interdisciplinary cooperation. Coupled models, on the other hand, can be used to generate possible explanations of past developments and quantitative scenarios for future developments. The article concludes that, given the limited attention they currently get and their potential benefits, case studies deserve more attention in socio-hydrology.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Minmin Du ◽  
Yimin Liu ◽  
Lei Li

Abstract A reexamination of the health problems of Chinese adolescents based on the concept of physical literacy (PL) was necessary. Through the use of follow-up data collected from the China Education Panel Survey 2014–2015, the main factors affecting the health of adolescents were identified, and possible explanations were investigated after cluster and inductive analyses were conducted. The results showed that (1) the 10 main factors identified as affecting adolescent health promotion are in line with the four main elements of PL (emotional, cognitive, social and physical elements) and (2) the three major categories of influencing factors identified through a cluster analysis were aligned with the three main factors of PL (endogeneity, fundamentality and permeability). These findings suggest that the factors influencing adolescent health promotion are closely associated with PL. The study results can provide empirical evidence for adolescent health promotion research and a reference for the development of evidence-based PL training models.


2021 ◽  
Vol 18 (1) ◽  
pp. 59-69
Author(s):  
Milena Medineckiene ◽  
Viktorija Kirdaite

Abstract Research purpose. The research aimed at identifying the main factors influencing export values in the region of Great Britain (GB) for the period of the last 30 years. Design / Methodology / Approach. In order to implement the investigation, the following tasks were intended: (1) To analyse scientific literature and mark out at least five non - dependent variables that impact export values of Great Britain. (2) Basing on findings, outlined in a scientific review, suggest or choose the methodology that is the most appropriate for this kind of tasks’ determination. (3) Collect the data for dependent and non-dependent variables (at least 30 samples). (4) Based on the presented methodology, determine the selected factors’ impact and make the statistical and economic analysis. The research was mainly done using quantitative analysis methods (descriptive, correlation, regressive analysis). Quantitative modelling and descriptive statistics methods are selected for investigation because they can suggest a different approach to analysing the factors influencing export values. Findings. Five non-dependent variables were marked out as factors influencing the export values in the selected region: gross domestic product (GDP); the number of employees in the region; amounts of cargo transportation; average salary in the region and labour costs. Calculation of the correlation coefficients showed that all independent variables were statistically significant. There is a very strong relationship between export values and GDP, employment, and labour costs. Originality / Value / Practical implications. The findings of this research can be applied in order to evaluate and determine the economic impact of the GB processes on the entire world, as Britain’s export values are among the top ten in the world. It is important to emphasise that the deeper analysis of the influencing factors of the volume of export in Great Britain showed an interrelation of these factors. So further investigation of this factor’s impact is essential.


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