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

Hüseyin Fatih Atlı; Gül Senir

Makale detayları

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

Yazarlar:

Hüseyin Fatih Atlı | Gül Senir

Yayıncı:

Karyay Karadeniz Yayımcılık

Ana Başlıklar:

Ziraat Mühendisliği (Diğer)

Dergi:

Black Sea Journal of Agriculture Vol.7 Issue 4, pp.377-390

Belge Tipi:

Makale

Yayın Tarihi:

7/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001322926

pISSN:

2618-6578

Anahtar kelimeler:

Özet:

 The 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.

 The 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.

 The 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.

 The 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.

Makale detayları

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

Yazarlar:

Hüseyin Fatih Atlı | Gül Senir

Yayıncı:

Karyay Karadeniz Yayımcılık

Ana Başlıklar:

Ziraat Mühendisliği (Diğer)

Dergi:

Black Sea Journal of Agriculture Vol.7 Issue 4, pp.377-390

Belge Tipi:

Makale

Yayın Tarihi:

7/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001322926

pISSN:

2618-6578

Green supplier selection

Supply chain

Agricultural marketing

Fuzzy logic

Multi criteria decision making

Sayı

Makale detayları

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

Yazarlar: Hüseyin Fatih Atlı | Gül Senir

Yayıncı: Karyay Karadeniz Yayımcılık

Ana Başlıklar: Ziraat Mühendisliği (Diğer)

Dergi: Black Sea Journal of Agriculture Vol.7 Issue 4, pp.377-390

Belge Tipi: Makale

Yayın Tarihi: 7/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001322926

pISSN: 2618-6578

Green supplier selection

Supply chain

Agricultural marketing

Fuzzy logic

Multi criteria decision making

Sayı

Yazarlar:

Hüseyin Fatih Atlı | Gül Senir

Yayıncı:

Karyay Karadeniz Yayımcılık

Ana Başlıklar:

Ziraat Mühendisliği (Diğer)

Dergi:

Black Sea Journal of Agriculture Vol.7 Issue 4, pp.377-390

Belge Tipi:

Makale

Yayın Tarihi:

7/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001322926

pISSN:

2618-6578