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Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods

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The article was published on 2013-01-01. It has received 520 citations till now. The article focuses on the topics: Decision engineering & Decision support system.

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State of art surveys of overviews on MCDM/MADM methods

TL;DR: There is a need for research to study the strengths and weaknesses of different decision-making methods, as the situation with reviews of MCDM/MADM methods is described.
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Comparative analysis of MCDM methods for the assessment of sustainable housing affordability

TL;DR: In this paper, the authors present an empirical application and comparison of six different multiple criteria decision-making (MCDM) approaches for the purpose of assessing sustainable housing affordability, and evaluate the applicability of different MCDM methods for the focused decision problem.
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A framework to overcome sustainable supply chain challenges through solution measures of industry 4.0 and circular economy: An automotive case

TL;DR: In this paper, the authors have developed a framework to overcome SSCM challenges through industry 4.0 and circular economy based solution measures, which identifies a unique set of 28 sustainability challenges and 22 solution measures and test the applicability of the developed framework through hybrid Best Worst Method (BWM)- ELimination and Choice Expressing Reality (ELECTRE) approach.
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An extension of the Electre I method for group decision-making under a fuzzy environment

TL;DR: This study proposes an alternative fuzzy outranking method by extending the Electre I method to take into account the uncertain, imprecise and linguistic assessments provided by a group of DMs, and shows that contrary to the TOPSIS rankings, the electre approach reveals more useful information including the incomparability among the actions.
Journal ArticleDOI

Applications of WASPAS Method in Manufacturing Decision Making

TL;DR: The applicability of weighted aggregated sum product assessment (WASPAS) method is explored as an effective MCDM tool while solving eight manufacturing decision making problems, and it is observed that this method has the capability of accurately ranking the alternatives in all the considered selection problems.