Research on the Performance Evaluation of Chongqing Electric Power Supply Bureaus Based on TOPSIS

Huang, Wei; Huang, Yushu

doi:10.1016/j.egypro.2011.12.1030

Cited by 11 publications

(4 citation statements)

References 2 publications

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“…Ekonomik faktörler ile çevresel önceliklerin birbiriyle çakıştığı durumların olmasından dolayı çift amaç-lı optimizasyon düşünülerek farklı stratejiler Topsis yöntemi ile sıralanmıştır (Ouattara vd., 2012). Çin'de elektrik tedariki sağlayan sekiz alternatif için Topsis yöntemi ile tercih sırası oluşturulmuştur (Huang ve Huang, 2012). Organik atıkların ortadan kaldırılması ile ilgili stratejilerin değerlendirilmesi amacıyla Topsis yöntemi kullanılmıştır (Rao ve Baral, 2011).…”

Section: Li̇teratür İncelemesi̇unclassified

Üretim Yapan İşletmeler için Hidrolik Giyotin Alternatiflerinin TOPSIS Yöntemi ile İncelenmesi

Özdağoğlu¹

2012

eab

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ÖZETBu çalışma üretim yapan işletmeler için hidrolik giyotin alternatiflerinin TOPSIS yöntemi ile değerlendirilmesini amaçlamıştır. Değerlendirme ölçütleri kesme kapasitesi, maksimum kesme boyu, maksimum kesme açısı, toplam baskı silindiri sayısı ve motor gücüdür. İşletmeler açısından bu ölçütler birarada düşünülerek 66 farklı modelin tercih sırası belirlenmiştir.Anahtar Kelimeler: Çok ölçütlü karar verme, TOPSIS yöntemi, hidrolik giyotin, üretim yönetimi. ABSTRACTThis study aims at evaluating of hydraulic guillotine alternatives with TOPSIS method for production companies. Evaluation criteria are shearing capacity, maximum cutting length, maksimum rake angle, total number of holddowns and engine power. Preference ranking of 66 different models have been determined by taking into account all of these criteria together from the viewpoint of the companies.

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Section: Li̇teratür İncelemesi̇unclassified

Üretim Yapan İşletmeler için Hidrolik Giyotin Alternatiflerinin TOPSIS Yöntemi ile İncelenmesi

Özdağoğlu¹

2012

eab

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“…The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is an appropriate decisionmaking method with diverse applications in science and engineering [6][7][8][9][10]. The candidates' ranking in this method is performed according to their distances from ideal solutions and their closeness coefficients [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Automated Decision-Making with TOPSIS for Water Analysis

Javanbakht

2022

JES

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This paper aims to present a new application of TOPSIS with an automated decision-making process for the analysis of drinking water. For this purpose, the algorithm was modified with a fuzzy disjunction, and the maximal output values were set to one. The properties of drinking water, such as total dissolved solids, hardness, electrical conductivity, and cost, were the criteria analyzed in this study. These criteria were analyzed with unmodified and modified algorithms. Therefore, the modified TOPSIS was also used to optimize the parameters of the candidates. The appearance of the value of 1.0 in the algorithm’s output was due to the confusion of an individual’s categories of drinking water and undrinkable water. The advantage of this investigation was that, for the first time, it allowed automated decision-making to detect the drinking water in different samples and analyze them according to their characteristics. This would be important in developing new technologies for detecting and analyzing drinking water in the environment. The results of this paper can be applied in materials sciences and engineering.

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“…TOPSIS has been used to analyze the properties of some materials and those of human beings according to their traits [27][28][29][30][31][32]. It has also been used to rank manufactured devices and instruments [33][34][35][36][37][38].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Nanoparticles Characteristics with TOPSIS for Their Manufacture Optimization

Javanbakht

2022

JES

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The present study focuses on the comparative analysis of superparamagnetic iron oxide nanoparticles (SPIONs) characteristics with the TOPSIS method. The prediction of the characteristics of SPIONs is required for better manufacturing of these nanoparticles. Although the characteristics of these nanoparticles have been investigated, no research has been done on their comparison in order to determine which one of their surface functionalities would be more appropriate for their diverse applications. The objective of this study was to analyze the characteristics of SPIONs without or with surface charge with a prediction model and TOPSIS in order to determine the best nanoparticles. Moreover, the effect of inappropriate consideration of their cost criterion on their ranks was explored with the modified TOPSIS. This analysis showed that the characteristics of SPIONs such as antibiofilm activity, hemocompatibility, activity with hydrogen peroxide, rheological properties, and the labour of their chemical synthesis could affect their ranking. Neutral SPIONs, negatively charged SPIONs, and positively charged SPIONs were ranked as the first, second, and third candidates, respectively. However, the improvement of the activity of positively charged SPIONs with hydrogen peroxide showed an increase to 0.3 instead of 0.2, which resulted in a better rank of these nanoparticles in comparison with that of the same nanoparticles in the first analysis series. One of the advantages of this study was to determine the impact of the characteristics of SPIONs on their ranking for their manufacturing. The other advantage was getting the information for further comparative study of these nanoparticles with the others. The results of this work can be used in manufacturing engineering and materials science.

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Research on the Performance Evaluation of Chongqing Electric Power Supply Bureaus Based on TOPSIS

Cited by 11 publications

References 2 publications

Üretim Yapan İşletmeler için Hidrolik Giyotin Alternatiflerinin TOPSIS Yöntemi ile İncelenmesi

Üretim Yapan İşletmeler için Hidrolik Giyotin Alternatiflerinin TOPSIS Yöntemi ile İncelenmesi

Automated Decision-Making with TOPSIS for Water Analysis

Analysis of Nanoparticles Characteristics with TOPSIS for Their Manufacture Optimization

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