Combination of symmetry point of criterion, compromise ranking of alternatives from distance to ideal solution and collaborative unbiased rank list integration methods for woodworking machinery selection for small business in Vietnam

Dua, Tran Van

doi:10.21303/2461-4262.2023.002763

Cited by 6 publications

(3 citation statements)

References 24 publications

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“…Similarly, the CURLI method has been applied to solve multi-objective optimization problems in diverse fields. This includes optimizing the selection of equipment such as air conditioners, washing machines, and drones [15], optimizing the selection of lathes [16], optimizing the selection of three other types of machine tools (grinders, drills, millers) [17], optimizing the selection of various materials (materials for making protective plates on automobiles, materials for making gears, materials for cutting tools) [18], optimizing the selection of cars in Vietnam [19], optimizing the selection of three types of woodworking machines (wood millers, wood saws, wood planers) [20], optimizing the selection of grinding wheels and suppliers [21], and more.…”

Section: Mathematicsmentioning

confidence: 99%

Comparision of both methods psi and curli: applied in solving multi-objective optimization problem of turning process

Trung,

Phuong Giang,

Son

2024

Eureka: PE

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Solving a multi-objective optimization problem involves finding the best solution to simultaneously satisfy multiple predefined objectives. Currently, various mathematical methods are available for solving optimization problems in general, and multi-objective optimization in particular. The comparison of mathematical methods when addressing the same problem has been explored in numerous studies. In this study, let’s conduct a comparison of two multi-objective optimization methods: the PSI method and the CURLI method. These two methods were applied collectively to tackle a multi-objective optimization problem related to a turning process. Experimental data were borrowed from a previous study, and a total of sixteen experiments were conducted. Roughness average (Ra), Roundness Error (RE), Tool Wear (VB), and Material Removal Rate (MRR) were the four output parameters measured in each experiment. The objective of solving the multi-objective optimization problem was to identify an experiment among the sixteen existing experiments that simultaneously minimized the three parameters of Ra, RE, and VB while maximizing MRR. The optimal results determined using the PSI and CURLI methods were also compared with the optimal results obtained through other methods (COCOSO, MABAC, MAIRCA, EAMR and TOPSIS) in published documents. The comparison results indicate that the optimal experiment found using the CURLI method consistently matches that of other methods. In contrast, the optimal results obtained through the PSI method differ significantly from those obtained through other methods. The Spearman correlation ranking coefficient between CURLI and the five methods COCOSO, MABAC, MAIRCA, EAMR, and TOPSIS is very high, ranging from 0.9 to 1. In contrast, this coefficient is very small when comparing PSI with the aforementioned five methods, falling within the range of –0.6088 to –0.3706 in this case. Ultimately, this study concludes that the CURLI method is suiTable for solving the multi-objective optimization problem in the turning process, whereas the PSI method is deemed unsuitable

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Section: Mathematicsmentioning

confidence: 99%

Comparision of both methods psi and curli: applied in solving multi-objective optimization problem of turning process

Trung,

Phuong Giang,

Son

2024

Eureka: PE

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“…In a short time, there have been recently many studies applying the PIV method for multi-criteria decision-making for the turning process [10,11], milling process [12], grinding process [13], etc. The CURLI method has also been applied to multi-criteria decision-making in many cases such as: ranking of seven types of robots, ranking of nine turning processes and ranking of six bridge construction alternatives [14]; ranking of five types of protective plate materials for automobiles, ranking of nine types of gear materials, and ranking of twelve types of cutting tool materials [15]; ranking of woodworking machines [16]; ranking of eight types of grinding wheels and ranking of three types of logistics services [17], etc. However, the authors of this paper can confirm that both the PIV and CURLI methods have never been used to rank cutting oils.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Applying multi-criteria decision-making methods for cutting oil selection

Thinh

Mai

Giang

et al. 2023

EEJET

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Many machining processes would not be possible without the presence of cutting oils. There are many different types of cutting oils on the market today, each with different properties. The difference of oils is manifested in many parameters such as viscosity, combustion temperature, recyclability, pollution tendency, stability, price, etc. Choosing the best oil is a difficult and tedious task for customers. In this work, we present the results of a study on the selection of cutting oil using multicriteria decisionmaking (MCDM) methods. The selection of the best oil is made on the basis of ranking of seven different types. Two MCDM methods used in this study are Proximity Indexed Value (PIV) and Collaborative Unbiased Rank List Integration (CURLI). This two methods have been used to rank cutting oils. These are two methods with completely different characteristics. When using the PIV method, it is necessary to standardize the data and determine the weights for the criteria. Meanwhile, if using the CURLI method, these two tasks are not needed. In addition, three different weight methods were also used to calculate the weights for the criteria including EQUAL, Rank Order Centroid weight (ROC weight) and Rank Sum weight (RS weight). These three methods have been used to determine the weights for the criteria of cutting oil. The PIV method was used three times corresponding to three different weight methods. The results showed that out of the four ranking results (three using the PIV method and one using the CURLI method), the same best oil was unanimously identified. It is recommended that the CURLI method should be used if weighting of criteria and data normalization are not desired

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“…That's why decision-making for sustainable electric energy policies are necessary. Many authors have explored this area and introduced various methods, such as the multi-criteria decision-making (MCDM) approach [3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Application of the multi-criteria analysis method mairca, spotis, comet for the optimisation of sustainable electricity technology development

Tran

2024

Eureka: PE

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The development of sustainable electricity technology is of utmost importance in addressing the increasing energy demand while mitigating greenhouse gas emissions. Fossil fuel-based electricity generation is the primary contributor to air pollution and climate change, necessitating a shift towards renewable energy sources. The efficient production, distribution, and utilization of energy resources, along with ensuring affordable energy access and environmental sustainability, are key policy objectives for any country's energy sector. However, assessing sustainable electricity technologies is a complex task due to the diverse range of evaluation criteria and impacts associated with the practical implementation of these solutions. To overcome this challenge, this study proposes a multi-criteria decision-making (MCDM) approach to select the optimal solution for the development of sustainable electricity technology. The study employs several reliable methods, including MAIRCA, SPOTIS, COMET, and the CRITIC weighting method, to perform ranking evaluations. Based on this, an evaluation Table of criteria using linguistic variables is constructed. Furthermore, a ranking of methods for developing sustainable electricity technology is established by combining MCDM optimization methods. The results indicate that future energy policies should prioritize sustainable energy technologies, particularly water and solar thermal solutions. These findings have significant implications for development policymakers as the transition towards a sustainable energy system becomes increasingly crucial. In the future, the findings of this research can be further developed on a regional level, enabling the identification of the most appropriate energy technologies for specific regions based on their unique characteristics and requirements

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Combination of symmetry point of criterion, compromise ranking of alternatives from distance to ideal solution and collaborative unbiased rank list integration methods for woodworking machinery selection for small business in Vietnam

Cited by 6 publications

References 24 publications

Comparision of both methods psi and curli: applied in solving multi-objective optimization problem of turning process

Comparision of both methods psi and curli: applied in solving multi-objective optimization problem of turning process

Applying multi-criteria decision-making methods for cutting oil selection

Application of the multi-criteria analysis method mairca, spotis, comet for the optimisation of sustainable electricity technology development

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