RANCOM: A novel approach to identifying criteria relevance based on inaccuracy expert judgments

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 122, P. 106114 - 106114

Published: March 15, 2023

Language: Английский

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

Scientific Reports, Journal Year: 2021, Volume and Issue: 11(1)

Published: Sept. 30, 2021

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

Language: Английский

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A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making

Information, Journal Year: 2023, Volume and Issue: 14(5), P. 285 - 285

Published: May 11, 2023

In the realm of multi-criteria decision-making (MCDM) problems, selection a weighting method holds critical role. Researchers from diverse fields have consistently employed MCDM techniques, utilizing both traditional and novel methods to enhance discipline. Acknowledging significance staying abreast such methodological developments, this study endeavors contribute field through comprehensive review several weighting-based methods: CILOS, IDOCRIW, FUCOM, LBWA, SAPEVO-M, MEREC. Each is scrutinized in terms its characteristics steps while also drawing upon publications extracted Web Science (WoS) Scopus databases. Through bibliometric content analyses, delves into trend, research components (sources, authors, countries, affiliations), application areas, fuzzy implementations, hybrid studies (use other and/or ranking methods), tools for these methods. The findings offer an insightful portrayal applications each method, thereby contributing valuable knowledge researchers practitioners within MCDM.

Language: Английский

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Multi-Criteria Decision Making in the PMEDM Process by Using MARCOS, TOPSIS, and MAIRCA Methods

Applied Sciences, Journal Year: 2022, Volume and Issue: 12(8), P. 3720 - 3720

Published: April 7, 2022

Multi-criteria decision making (MCDM) is used to determine the best alternative among various options. It of great importance as it hugely affects efficiency activities in life, management, business, and engineering. This paper presents results a multi-criteria decision-making study when using powder-mixed electrical discharge machining (PMEDM) cylindrically shaped parts 90CrSi tool steel. In this study, powder concentration, pulse duration, off time, current, host voltage were selected input process parameters. Moreover, Taguchi method was for experimental design. To simultaneously ensure minimum surface roughness (RS) maximum material-removal speed (MRS) implement making, MARCOS (Measurement Alternatives Ranking according Compromise Solution), TOPSIS (Technique Order Preference by Similarity Ideal MAIRCA (Multi-Attributive Ideal–Real Comparative Analysis) methods applied. Additionally, weight calculation criteria calculated MEREC (Method based on Removal Effects Criteria) method. From results, problem with PMEDM proposed.

Language: Английский

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An integrated stepwise weight assessment ratio analysis and weighted aggregated sum product assessment framework for sustainable supplier selection in the healthcare supply chains

Supply Chain Analytics, Journal Year: 2023, Volume and Issue: 1, P. 100001 - 100001

Published: Jan. 6, 2023

Supplier selection is a difficult task imposing significant challenges for supply chain managers in today's competitive environment. Sustainability adds another layer of complexity to this already problem, given the global concerns on social, economic, and environmental impacts, especially emerging economies. Many multi-criteria decision-making (MCDM) methods have been proposed sustainable supplier selection. However, insufficient emphasis literature supporting decisions healthcare testing facilities This study proposes process from sustainability perspective utilizing an integrated MCDM framework combining stepwise weight assessment ratio analysis (SWARA) weighted aggregated sum product (WASPAS). SWARA used rank criteria, WASPAS utilized select most suitable supplier. An Additive Ratio Assessment (ARAS) Evaluation based Distance Average Solution (EDAS) are validate results. A sensitivity conducted test different scenarios interest with method. Cost stability, continuous improvement quality control, past performance reputation top-weighted criteria study. The findings research provide actionable insights assist responding more efficiently. contributions also inform policymakers make responsible establish regulations improve industry

Language: Английский

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Hybrid MCDM method on pythagorean fuzzy set and its application

Decision Making Applications in Management and Engineering, Journal Year: 2023, Volume and Issue: 6(1), P. 379 - 398

Published: April 9, 2023

Here in this article, a hybrid MCDM method on the Pythagorean fuzzy-environment is presented. This based Fuzzy Method Removal Effects of Criterion (PF-MEREC) and Stepwise Weight Assessment Ratio Analysis (SWARA) approaches. Here, objective subjective weights are assessed by PF-MEREC, SWARA model preference order ranking various alternatives done through Complex Proportional (COPRAS) framework fuzzy set (PFS). The proposed MEREC, COPRAS methods. Further, used to identify best banking management software (BMS) so that bank can choose robust tool enhance its efficiency excellence. Thereafter, comparative discussion sensitivity analysis with existing techniques judge reasonability model.

Language: Английский

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Introducing a Novel multi-criteria Ranking of Alternatives with Weights of Criterion (RAWEC) model

MethodsX, Journal Year: 2024, Volume and Issue: 12, P. 102628 - 102628

Published: Feb. 22, 2024

Optimal selection of agricultural distribution center location significantly impact the industry's growth and regional development, as they enhance product accessibility for customers streamline delivery suppliers. Research presented in this paper focuses on locations needs an using a new method multi-criteria decision making (MCDM), referred Ranking Alternatives with Weights Criterion (RAWEC) method. On real-world example, Brčko District Bosnia Herzegovina was evaluated potential sites formation center. The Logarithm Methodology Additive (LMAW) employed to calculate criterion weights, while were ranked novel RAWEC Additional analyses, including result validation, dynamic matrix sensitivity analysis validated use problem ranking alternatives by demonstrating that order obtained is consistent constant. Furthermore, simplicity small number steps distinguished it from other MCDM methods.

Language: Английский

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A multi-criteria decision-making in turning process using the MAIRCA, EAMR, MARCOS and TOPSIS methods: A comparative study

Advances in Production Engineering & Management, Journal Year: 2021, Volume and Issue: 16(4), P. 443 - 456

Published: Dec. 18, 2021

Multi-criteria decision-making is important and it affects the efficiency of a mechanical processing process as well an operation in general. It understood determining best alternative among many alternatives. In this study, results multi-criteria study are presented. which, sixteen experiments on turning were carried out. The input parameters cutting speed, feed depth cut. After conducting experiments, surface roughness material removal rate (MRR) determined. To determine which experiment guarantees minimum maximum MRR simultaneously, four methods including MAIRCA, EAMR, MARCOS, TOPSIS used. Two Entropy MEREC used to weights for criteria. combination making decision with two determination has created eight ranking solutions novelty study. An amazing result was obtained that all determined same experiment. From results, recommendation proposed weighting using can also be other cases, processes.

Language: Английский

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Selection of a green renewable energy source in India with the help of MEREC integrated PIV MCDM tool

Materials Today Proceedings, Journal Year: 2021, Volume and Issue: 52, P. 1153 - 1160

Published: Nov. 19, 2021

Language: Английский

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Sustainable material selection with crisp and ambiguous data using single-valued neutrosophic-MEREC-MARCOS framework

Applied Soft Computing, Journal Year: 2022, Volume and Issue: 128, P. 109546 - 109546

Published: Aug. 22, 2022

Language: Английский

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