Application of MOORA to Optimize WEDM Process Parameters: A Multi-criteria Decision Making Approach

Majumder, Himadri; Mishra, Swagatika; Sahu, Anil R.; Bavche, Anil Laxmanrao; Valekar, Mahadev; Padaseti, Bijaya Kumar

doi:10.1007/978-981-13-8507-0_12

Cited by 6 publications

(3 citation statements)

References 17 publications

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“…In recent years, there has been an increasing amount of literature on applications of the MULTIMOORA method. Majumder et al used the MULTIMOORA method for process parameter selection [15]. Liu [16] extended a new FMEA model using fuzzy set theory and the MULTIMOORA method to determine the risk priority of failure modes.…”

Section: Literature Review 21 a Brief Review Of The Multimoora Methodsmentioning

confidence: 99%

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Selection of a Wheat Harvester according to Qualitative and Quantitative Criteria

Lalghorbani

Jahan

2022

Sustainability

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With the development of technology and the expansion of agricultural machinery diversity, the need for an appropriate group decision-making system has arisen. The increasing number of criteria and alternatives complicates the decision-making process. Moreover, the uncertainty in the data leads to more complexity in the decision. To select a wheat combine, multiple quantitative criteria were considered, such as the grain tank, rated horsepower, speed draining, and cleaning, along with qualitative criteria, including the level of harvest or harvest losses, fuel consumption, comfort and safety, the ability to harvest wet and lying, and price. To rank seven alternatives through the MULTIMOORA (multi-objective optimization on the basis of ratio analysis) method, a group decision making model applied for qualitative criteria and the Simos method was used for weighting as a subsidiary of mental groups. The performance of the hybrid model was confirmed by experts in agricultural machinery. The consensus model, when used in the process of group decision making, reduces the conflict level of decision-makers regarding criteria, alternatives and the decision matrix. The results of this research will be beneficial for industrial agriculture, especially wheat combine buyers. The proposed explainable consensus model can be used to construct decision support systems and can be applied to various decision-making problems owing to operability and easiness.

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Section: Literature Review 21 a Brief Review Of The Multimoora Methodsmentioning

confidence: 99%

“…The weighted form of the assessment value of the reference point approach can be obtained using Equation (15) [37].…”

Section: Ratio Systemmentioning

confidence: 99%

Selection of a Wheat Harvester according to Qualitative and Quantitative Criteria

Lalghorbani

Jahan

2022

Sustainability

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“…The MOORA and its extension MULTIMOORA method is popularly utilized in practice due to its simple application procedure, pertinence to various conditions, and advances through empirical observation. Examples of fields in which this method can be applied include process parameter selection (Majumder et al, 2019), occupational health and safety risk analysis (Dabbagh & Yousefi, 2019), performance measurements and selection (Hanifatulqolbi et al, 2019; Kuvat & Demir, 2020; Yilmaz, 2019), alternative selection (Brauers & Zavadskas, 2006; Karuppanna & Sekar, 2016; Pathapalli et al, 2020; Pérez-Domínguez et al, 2018; Sahida et al, 2019), material selection (Nori et al, 2018; Patnaik et al, 2020), and supplier selection (Jayant et al, 2019).…”

Section: Literature Reviewmentioning

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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Application of TOPSIS Method to Determine Best Alternative in Wire-EDM 90CrSi Tool Steel

Huy¹,

Anh

et al. 2022

Advances in Engineering Research and Application

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Application of MOORA to Optimize WEDM Process Parameters: A Multi-criteria Decision Making Approach

Cited by 6 publications

References 17 publications

Selection of a Wheat Harvester according to Qualitative and Quantitative Criteria

Selection of a Wheat Harvester according to Qualitative and Quantitative Criteria

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

Application of TOPSIS Method to Determine Best Alternative in Wire-EDM 90CrSi Tool Steel

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