Least to Most Range (LMR): A Novel Consistent Weighting Multicriteria Method Applied to Green Supplier Selection
Decision-making is a complex task for people, professionally or personally, since the decision has several positive and negative consequences and cannot always be undone. Multicriteria decision-making models (MCDM) aim to reduce the complexity of decision-making by using mathematical and algorithmic...
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IEEE
2025-01-01
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| Online Access: | https://ieeexplore.ieee.org/document/11119527/ |
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| author | Vinicius Moretti Everton L. Melo Joao Carlos Colmenero |
| author_facet | Vinicius Moretti Everton L. Melo Joao Carlos Colmenero |
| author_sort | Vinicius Moretti |
| collection | DOAJ |
| description | Decision-making is a complex task for people, professionally or personally, since the decision has several positive and negative consequences and cannot always be undone. Multicriteria decision-making models (MCDM) aim to reduce the complexity of decision-making by using mathematical and algorithmic procedures to guide the process. Given the various issues and complexities that current methods for weighting criteria present; this study aims to develop a new subjective multicriteria method for criteria weighting applied in Green Supplier Selection (GSS). To solve this GSS problem, the Least to Most Range (LMR) method was developed and applied. The LMR is characterized by presenting a new logic for weighting criteria using two distinct and complementary scales. This method has a series of advantages over some well-established methods (e.g. AHP, BWM) in the literature. To illustrate these advantages, a numerical application was developed in GSS containing a literature review to survey relevant criteria for the problem. The LMR has proven robust compared to other methods because it can treat many criteria simultaneously without presenting inconsistency, satisfactorily dealing with some of the problems most commonly found in weighting methods in the literature. |
| format | Article |
| id | doaj-art-bb5d653ebb784042b3ad84abb9250d27 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-bb5d653ebb784042b3ad84abb9250d272025-08-20T04:01:00ZengIEEEIEEE Access2169-35362025-01-011313898613900010.1109/ACCESS.2025.359679911119527Least to Most Range (LMR): A Novel Consistent Weighting Multicriteria Method Applied to Green Supplier SelectionVinicius Moretti0https://orcid.org/0000-0003-0670-9371Everton L. Melo1Joao Carlos Colmenero2https://orcid.org/0000-0002-0759-568XOptimization and Decision-Making Research Group, Postgraduate Program of Production Engineering (PPGEP), Universidade Tecnológica Federal do Paraná (UTFPR), Ponta Grossa, State of Paraná, BrazilOptimization and Decision-Making Research Group, Postgraduate Program of Production Engineering (PPGEP), Universidade Tecnológica Federal do Paraná (UTFPR), Ponta Grossa, State of Paraná, BrazilOptimization and Decision-Making Research Group, Postgraduate Program of Production Engineering (PPGEP), Universidade Tecnológica Federal do Paraná (UTFPR), Ponta Grossa, State of Paraná, BrazilDecision-making is a complex task for people, professionally or personally, since the decision has several positive and negative consequences and cannot always be undone. Multicriteria decision-making models (MCDM) aim to reduce the complexity of decision-making by using mathematical and algorithmic procedures to guide the process. Given the various issues and complexities that current methods for weighting criteria present; this study aims to develop a new subjective multicriteria method for criteria weighting applied in Green Supplier Selection (GSS). To solve this GSS problem, the Least to Most Range (LMR) method was developed and applied. The LMR is characterized by presenting a new logic for weighting criteria using two distinct and complementary scales. This method has a series of advantages over some well-established methods (e.g. AHP, BWM) in the literature. To illustrate these advantages, a numerical application was developed in GSS containing a literature review to survey relevant criteria for the problem. The LMR has proven robust compared to other methods because it can treat many criteria simultaneously without presenting inconsistency, satisfactorily dealing with some of the problems most commonly found in weighting methods in the literature.https://ieeexplore.ieee.org/document/11119527/MulticriteriaweightingMCDMdecision-makinginconsistencyscale |
| spellingShingle | Vinicius Moretti Everton L. Melo Joao Carlos Colmenero Least to Most Range (LMR): A Novel Consistent Weighting Multicriteria Method Applied to Green Supplier Selection IEEE Access Multicriteria weighting MCDM decision-making inconsistency scale |
| title | Least to Most Range (LMR): A Novel Consistent Weighting Multicriteria Method Applied to Green Supplier Selection |
| title_full | Least to Most Range (LMR): A Novel Consistent Weighting Multicriteria Method Applied to Green Supplier Selection |
| title_fullStr | Least to Most Range (LMR): A Novel Consistent Weighting Multicriteria Method Applied to Green Supplier Selection |
| title_full_unstemmed | Least to Most Range (LMR): A Novel Consistent Weighting Multicriteria Method Applied to Green Supplier Selection |
| title_short | Least to Most Range (LMR): A Novel Consistent Weighting Multicriteria Method Applied to Green Supplier Selection |
| title_sort | least to most range lmr a novel consistent weighting multicriteria method applied to green supplier selection |
| topic | Multicriteria weighting MCDM decision-making inconsistency scale |
| url | https://ieeexplore.ieee.org/document/11119527/ |
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