Development of Integrated Linear Programming Fuzzy-Rough MCDM Model for Production Optimization

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dc.citation.spage510
dc.citation.volume11
dc.contributor.authorDordevic, Milan
dc.contributor.authorTešić, Rade
dc.contributor.authorTodorović, Srdjan
dc.contributor.authorJokić, Miloš
dc.contributor.authorKumar Das, Dillip
dc.contributor.authorStević, Željko
dc.contributor.authorVrtagic, Sabahudin
dc.date.accessioned2023-05-05T12:16:51Z
dc.date.available2023-05-05T12:16:51Z
dc.date.issued2022
dc.description.abstractOne of the most common tools for achieving optimization and adequate production process management is linear programming (LP) in various forms. However, there are specific cases of the application of linear programming when production optimization implies several potential solutions instead of one. Exactly such a problem is solved in this paper, which integrates linear programming and a Multi-Criteria Decision-Making (MCDM) model. First, linear programming was applied to optimize production and several potential solutions lying on the line segment AB were obtained. A list of criteria was created and evaluated using the Improved Fuzzy StepwiseWeight Assessment Ratio Analysis (IMF SWARA). To obtain the final solution, a novel Rough compromise ranking of alternatives from distance to ideal solution (R-CRADIS) method was developed and verified through comparative analysis. The results show that the integration of linear programming and a Fuzzy-Rough MCDM model can be an exceptional solution for solving specific optimization problems.
dc.identifier.doi10.3390/axioms11100510
dc.identifier.urihttps://vaseljena.ues.rs.ba/handle/123456789/114
dc.language.isoen
dc.publisherMDPI
dc.sourceAxioms
dc.subjectlinear programming; IMF SWARA; production optimization; Rough CRADIS
dc.titleDevelopment of Integrated Linear Programming Fuzzy-Rough MCDM Model for Production Optimization
dc.typeArticle
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