Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC)

Ghorabaee, Mehdi Keshavarz; Amiri, Maghsoud; Zavadskas, Edmundas Kazimieras; Turskis, Zenonas; Antuchevičienė, Jurgita

doi:10.3390/sym13040525

Cited by 350 publications

(215 citation statements)

References 74 publications

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“…The efficiency of this method was demonstrated through simulation-based and comparative analyses. Suppose that we have an MCDM problem involving alternatives and criteria 65 . The steps of MEREC are as follows.…”

Section: Methodsmentioning

confidence: 99%

“…In this paper, a new multi-expert subjective–objective decision-making approach is proposed to deal with such MCDM problems. The proposed approach is an integration of a modified version of SWARA as a subjective weighting method 64 , MEREC as an objective weighting approach 65 , the Monte Carlo simulation as a modeling tool, WASPAS as an MCDM method 66 , and the mathematical assignment model as an aggregation tool. A modified version of the SWARA, called SWARA II, is introduced in this study as a new simple and efficient subjective weighting method.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of distribution center locations using a multi-expert subjective–objective decision-making approach

Ghorabaee

2021

Sci Rep

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Distribution is a strategic function of logistics in different companies. Establishing distribution centers (DCs) in appropriate locations helps companies to reach long-term goals and have better relations with their customers. Assessment of possible locations for opening new DCs can be considered as an MCDM (Multi-Criteria Decision-Making) problem. In this study, a decision-making approach is proposed to assess DC locations. The proposed approach is based on Stepwise Weight Assessment Ratio Analysis II (SWARA II), Method based on the Removal Effects of Criteria (MEREC), Weighted Aggregated Sum Product Assessment (WASPAS), simulation, and the assignment model. The assessment process is performed using the subjective and objective criteria weights determined based on multiple experts’ judgments. The decision matrix, subjective weights and objective weights are modeled based on the triangular probability distribution to assess the possible alternatives. Then, using simulation and the assignment model, the final aggregated results are determined. A case of DC locations assessment is addressed to show the applicability of the proposed approach. A comparative analysis is also made to verify the results. The analyses of this study show that the proposed approach is efficient in dealing with the assessment of DC locations, and the final results are congruent with those of existing MCDM methods.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of distribution center locations using a multi-expert subjective–objective decision-making approach

Ghorabaee

2021

Sci Rep

Self Cite

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“…Moreover, the participants provided their written informed consent to participate in this study. [57][58][59][60][61][62]. One major advantage of AHP over other techniques is that it can convert elements that are intangible and difficult to quantify into quantified and tangible values [53].…”

Section: Plos Onementioning

confidence: 99%

Developing an interplay among the psychological barriers for the adoption of industry 4.0 phenomenon

et al. 2021

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This research aims to identify, rank, and create an interplay among the psychological barriers to adopting Industry 4.0 technologies in the manufacturing sector. A comprehensive literature review tracked by a discussion with industry and academic experts recognized 20 barriers. Based on three widely acclaimed statistical techniques, hybrid AHP-TOPSIS (Analytical Hierarchy Process-Technique for Order Performance by Similarity to Ideal Solution) and ISM (Interpretative Structural Modeling), critical psychological barriers have been investigated. A group of 8 experts from industry and academia with at least 10 years of experience was consulted for AHP and ISM techniques. Whereas TOPSIS was conducted by 443 operational-level users, including managers and supervisors of different functional areas of the manufacturing industry located in Pakistan. The findings reveal that ‘Fear of job losses’, ‘Fear of data loss/Risk of security breaches, ‘Lack of advanced & continued education of employees’ and ‘Lack of standards and reference architecture’, with highest importance weights, emerged as the most prominent psychological barriers in developing economies. Then the interrelations among these barriers resulted in a four-layered structural model. The driver barriers identified in the final model advocate that development in ‘advanced & continued education of employees’, ‘standards & reference architecture’ and ‘minimization of fear of job & data loss’ can expedite the adoption of industry 4.0 (i4.0) technologies. The study uniquely develops hierarchical relationships among the psychological barriers for adopting i4.0 in the manufacturing context using AHP-TOPSIS and ISM techniques. The study would be valuable for practitioners, decision-makers and companies that wish to focus their efforts and resources on removing the most critical barriers and challenges for the seamless implementation of Industry 4.0.

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“…In this phase, criteria weights were derived using different weighing methods (Entropy (Alao et al 2020), Standard deviation (Anitha et al 2020), AHP (Ho 2008), CRITIC (Peng et al 202) and MEREC (Keshavarz-Ghorabaee et al 2021). Then these weights are combined with fuzzy-MARCOS to determine the preference rating of the alternatives to compare the obtained results of the proposed BWM integrated fuzzy-MADM method.…”

Section: Effect Of Criteria Weights Derived By Different Weighting Methodsmentioning

confidence: 99%

Application of integrated BWM Fuzzy-MARCOS approach for coating material selection in tooling industries

Kumar

Maity

Patnaik

2021

Preprint

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The life of metal forming dies, and the efficiency of tooling industries depends on the mechanical and wear properties of tool steel. These properties can be further improved by depositing the ceramic coating on heat-treated tool steel. There are many coating materials available with numerous excellent properties. But problem is how to select the best coating material. Compared to various studies related to material selection problems in the contrasting area of utilization, remarkably, few research work is done in tooling industries. In the present work, we have identified eight coating materials (alternatives) and nine evaluation criteria under the consultation of an expert in the tooling application and tribological field. To deal with this coating material selection problem, an integrated fuzzy-MADM method is proposed comprising BWM and fuzzy-MARCOS. This integrated fuzzy-MADM method is used to evaluate the alternative, and the obtained results are scrutinized under extensive use of sensitivity analysis. In the first phase of analysis, seven scenarios of criteria weight change are used, which is derived by the BWM method; dynamic matrices are used in the second phase of analysis. In the third and fourth phases, obtained ranks are compared with those obtained by different weight calculation methods and ranking methods, respectively. All the phases have similar results, i.e., AlCrN/TiAlN coating (alternative Cm5) is the best coating material. What is more, the proposed method has been used to solve the published results of coating material selection. To evaluate its reliability and robustness, a four phases comparative sensitivity analysis was performed.

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Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC)

Cited by 350 publications

References 74 publications

Assessment of distribution center locations using a multi-expert subjective–objective decision-making approach

Assessment of distribution center locations using a multi-expert subjective–objective decision-making approach

Developing an interplay among the psychological barriers for the adoption of industry 4.0 phenomenon

Application of integrated BWM Fuzzy-MARCOS approach for coating material selection in tooling industries

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