Evaluating and selecting the supplier in detergent production industry using hierarchical fuzzy TOPSIS

DOI10.1016/j.apm.2013.05.043zbMath1427.90181OpenAlexW2026686757MaRDI QIDQ1792379

Loghman Hatami-Shirkouhi, Jinus Roshandel, Seyed Sina Miri-Nargesi

Publication date: 11 October 2018

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2013.05.043

zbMATH Keywords

supplier selectiondetergent productshierarchical fuzzy TOPSIS

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Transportation, logistics and supply chain management (90B06) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

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Some new information measures for hesitant fuzzy PROMETHEE method and application to green supplier selection ⋮ A fuzzy multiple-attribute decision making model to evaluate new product pricing strategies ⋮ A multi-product model for evaluating and selecting two layers of suppliers considering environmental factors ⋮ An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment ⋮ A hybrid fuzzy analytic network process (FANP) and data envelopment analysis (DEA) approach for supplier evaluation and selection in the Rice supply chain

Cites Work

• An integrated FCM and fuzzy soft set for supplier selection problem based on risk evaluation
• Integration of particle swarm optimization-based fuzzy neural network and artificial neural network for supplier selection
• A locally linear neuro-fuzzy model for supplier selection in cosmetics industry
• Supplier selection and order lot sizing modeling: a review
• Multi-criteria decision making approaches for supplier evaluation and selection: a literature review
• Multiple attribute decision making. Methods and applications. A state-of- the-art survey
• Extensions of the TOPSIS for group decision-making under fuzzy environment
• An integrated approach for supplier selection in multi-item/multi-supplier environment
• Multi-Criteria Decision Making Methods and Fuzzy Sets

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