Application of the MOORA method for the evaluation of the industrial maintenance system

Pérez-Domínguez, Luis; Mojica, Karla Yohana Sánchez; Pabón, Liana Carolina Ovalles; Díaz, Marling Carolina Cordero

doi:10.1088/1742-6596/1126/1/012018

Cited by 22 publications

(20 citation statements)

References 9 publications

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“…Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) was developed by Brauers and Zavadskas in 2006 and is a commonly used, relatively new method for the solution of MCDM problems. It depends on the scoring of different foresights (Pérez-Domínguez et al, 2018). This method is used to make proper decisions in the solution process of various and complex problems.…”

Section: P P Pmentioning

confidence: 99%

A Decision-Making Model Based on TOPSIS, WASPAS, and MULTIMOORA Methods for University Location Selection Problem

Miç

Antmen

2021

Sage Open

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With the growing population increase and following young population’s desire to study at the university, political authorities are supporting university and higher education investments, especially in the last 10 years. This situation has increased the number of universities considerably. Because a university will provide socioeconomic dynamism to both the development of the country and the region, choosing the right university location has become a significant problem nowadays. In line with this, this study is focused on supporting the new university location decision in a wide region in Turkey where currently the number of universities in the region is relatively low despite the high population density in the area. Alternative cities to be utilized in the study are determined particularly taking the demographic structure into consideration and various multicriteria decision-making (MCDM) techniques are applied. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Weighted Aggregated Sum Product Assessment (WASPAS), and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) are applied to a real case study. Related criteria and alternative locations are specified by consulting seven experts. Within the study, both the results of these methods are presented, and also sensitivity analyses are conducted to observe how sensitive the results are to the changes in the criteria weights. The results obtained are purposed to aid decision makers in this field.

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Section: P P Pmentioning

confidence: 99%

A Decision-Making Model Based on TOPSIS, WASPAS, and MULTIMOORA Methods for University Location Selection Problem

Miç

Antmen

2021

Sage Open

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“…MOORA method also known as multi-attribute optimization is the process of concomitantly two or more attributes subject to certain limitations [12]. The MOORA method has a simple mathematical calculations and is easily understood systematically [8]. The steps in the MOORA method are: 1.…”

Section: B Mooramentioning

confidence: 99%

“…4. Calculating preferences value [6] [8] Before determining the preference value, do a multiplication of each value in the normalization matrix with the weight of each criterion.…”

Section: B Mooramentioning

confidence: 99%

“…Based on these studies it was concluded that the MOORA method can help in determining the teacher who has the best performance quickly and more objectively [6]. Other research using the MOORA method is to provide recommendations regarding students who are eligible to receive scholarships at the AMIK Tunas Bangsa foundation (Andani SR, et al, 2019) [7] and was also used to evaluate the performance of 4 machines in an industry consisting of 6 criteria (Domínguez L Perez, et al, 2018) [8].…”

mentioning

confidence: 99%

“…=1 .............................(3) Then calculate the optimization value by adding up the maximum value type (beneficial attributes) for each alternative and subtracting it from the minimum value type (non-beneficial attributes) for each alternative on the all alternative belong to the interval (0;1) [6][13] with the following formula [13]: ...............(4) 5. RankingThe ranking is done by sorting the preference value, which the alternative having the highest preference value is considered the best alternative while the lowest preference value is considered as the worst alternative[6] [8].…”

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confidence: 99%

See 2 more Smart Citations

Implementation of MOORA Method for Determining Prospective Smart Indonesia Program Funds Recipients

Zaitun¹,

Mustakim²,

Kamila³

et al. 2019

IJEAT

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 Abstract: Presidential Instruction No. 7 of 2014 mandates PIP to the Ministry of Education and Culture to summarize Indonesia Smart Card (KIP) and spread PIP funds to students that cannot afford to pay education. However, Indonesia Corruption Watch (2018) explained that the data used for the Smart Indonesia Program (PIP) was still inaccurate because almost half of the poor people with a percentage of 42.9% were not registered as participants in the Smart Indonesia Program (PIP). According to ICW, this is due to the data used for the process of determining the candidates for the Smart Indonesia Program recipients of the funds are still inaccurate and harming others who supposed to get funds. One method that usually used as a decision-making technique in the research is the Multi-Objective Optimization Ratio Analysis (MOORA) method which is a multi-criteria decision-making that has five main steps as a technique and it can be used to rank prospective PIP fund recipients based on the highest to the lowest preference values. The results of this studyindicate that the first rank with the highest value was 0.0539 and the last rank with the lowest value was 0.0211 so it used to ease the stakeholders to determine the amount of KIP recipients based on the preference values. This method can be applied for stakeholders needed in compared to monotonous data processing using estimates.

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Geopolymer concrete containing nanomaterials—a step toward sustainable construction

Indwar,

Mishra,

Titiksh

2024

Environ Sci Pollut Res

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Application of the MOORA method for the evaluation of the industrial maintenance system

Cited by 22 publications

References 9 publications

A Decision-Making Model Based on TOPSIS, WASPAS, and MULTIMOORA Methods for University Location Selection Problem

A Decision-Making Model Based on TOPSIS, WASPAS, and MULTIMOORA Methods for University Location Selection Problem

Implementation of MOORA Method for Determining Prospective Smart Indonesia Program Funds Recipients

Geopolymer concrete containing nanomaterials—a step toward sustainable construction

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