Operating system selection using fuzzy replacement analysis and analytic hierarchy process

2005 ◽  
Vol 97 (1) ◽  
pp. 89-117 ◽  
Author(s):  
Ethem Tolga ◽  
Murat Levent Demircan ◽  
Cengiz Kahraman
2020 ◽  
Vol 25 (2) ◽  
pp. 235-255
Author(s):  
Seng Hansen ◽  
Pratama HR Siregar ◽  
Jevica

This article presents a study of the contractors' preference for formwork system selection in Indonesian context. As decision makers, contractors are faced with challenges in choosing the formwork system for a particular project. While conventional timber formwork has been the most used formwork system in Indonesia, aluminium formwork is present although it has not been widely used. Thus, this research investigates the current practices of available formwork systems and its selection criteria in Indonesia. A decision-making framework (DMF) is developed by considering the appropriate assessment criteria for formwork system selection. This framework is then implemented through analytic hierarchy process technique. The result shows that contractors tend to choose aluminium formwork with a preference at 79% compared to conventional timber formwork with a preference at 21%. These findings can be used as considerations for contractors to start using aluminium formwork due to its excellence compared to conventional timber formwork. This study also proves that the proposed DMF can be applied and provides a sound decision related to formwork system selection.


Author(s):  
Zhang Lixue ◽  
Wang Zhongwei ◽  
Yang Xixiang

An evaluation model for stratospheric airship energy storage system selection is developed, which provides a new method for quantitative selection of renewable energy storage system. Firstly, some basic properties and their indexes are proposed to evaluate the overall performance of stratospheric airship energy storage system by qualitative analysis of airship’s operation principium and operation environment. Secondly, the weights to be used as subperformance indexes coefficients of the model are obtained with analytic hierarchy process method. The normalization of the subperformance indexes is implemented by physical programming method which takes the decision maker's preferable degree into account and can convert the indexes with different physical meaning and magnitude into nondimensionless satisfaction level evaluation scores with the magnitude in the same quantity level. Thirdly, the weights and evaluation scores of candidate designs’ indexes are combined with the aggregate objective function in the form of specific scores and the optimal energy storage system concept can be found out. Finally, an example of stratospheric airship energy storage system selection is given to illustrate this method. Moreover, the method presented in this paper can be effectively applied to various decision-making scenarios.


Geotecnia ◽  
2015 ◽  
Vol 134 ◽  
pp. 21-42
Author(s):  
José Henrique Ferronato Pretto ◽  
◽  
<br>Priscila Batista ◽  
<br>Adilson Lago Leite ◽  
<br>Alessander C. Morales Kormann ◽  
...  

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