Green Supplier Selection Using IMF SWARA and Fuzzy WASPAS Techniques for the Supply of Agricultural Pesticides

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dc.contributor.authorAtlı, Hüseyin Fatih
dc.contributor.authorSenir, Gül
dc.date.accessioned2024-11-07T13:19:19Z
dc.date.available2024-11-07T13:19:19Z
dc.date.issued2024
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractThe concept of sustainability is constantly increasing in importance in all areas of life with its human, social, economic and environmental dimensions. With the impact of global climate change and other environmental factors, concerns about sustainable agriculture and access to sufficient and reliable food are increasing. Reports of the Food and Agriculture Organization of the United Nations (FAO) and other international organizations also confirm this. For this reason, awareness has been created all over the world regarding the United Nations 17 Sustainable Development Goals (SDGs).With the increasing awareness of environmental protection worldwide, green supply chain management (GSCM) has become an important issue for businesses to achieve environmental sustainability. Nowadays, many managers and business owners pay special attention to green supplier selection to gain competitive advantage. Therefore, green supplier selection remains a critical decision for businesses. Businesses need to consider many economic and environmental criteria in the decision process to select the most suitable supplier. The aim of this study is to choose the most suitable green supplier for the supply of agricultural pesticides. Decision makers in selecting the most suitable green supplier for agricultural pesticide supply are business managers and academicians who are experts in the relevant field. In this study, an effective solution based on the combination of IMF SWARA (Improved Fuzzy Stepwise Weight Assessment Ratio Analysis) and fuzzy WASPAS (Weighted Aggregated Sum Product Assessment) methods is proposed to help agricultural enterprises that need to choose the best pesticide supplier. According to the research results, the criteria were determined as cost, quality and green product in order of importance, starting from the most important. In the ranking of the alternatives, alternative 1 ranked first with the highest value. This research proposes a framework to determine the most suitable alternative for green supplier selection through a combined approach of fuzzy multi-criteria decision making involving relevant stakeholders.
dc.identifier.doi10.47115/bsagriculture.1463382
dc.identifier.endpage390
dc.identifier.issn2618-6578
dc.identifier.issue4
dc.identifier.startpage377
dc.identifier.trdizinid1249939
dc.identifier.urihttps://doi.org/10.47115/bsagriculture.1463382
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1249939
dc.identifier.urihttps://hdl.handle.net/11480/13034
dc.identifier.volume7
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofBlack Sea Journal of Agriculture
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241107
dc.subjectBilgisayar Bilimleri
dc.subjectYazılım Mühendisliği
dc.subjectYeşil
dc.subjectSürdürülebilir Bilim ve Teknoloji
dc.subjectİşletme
dc.subjectÇevre Çalışmaları
dc.subjectİktisat
dc.subjectFuzzy logic
dc.subjectGreen supplier selection
dc.subjectAgricultural marketing
dc.subjectMulti criteria decision making
dc.subjectSupply chain
dc.titleGreen Supplier Selection Using IMF SWARA and Fuzzy WASPAS Techniques for the Supply of Agricultural Pesticides
dc.typeArticle

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