Selecting the Most Appropriate Supplier in the Green Environment

2020 ◽  
pp. 101-124
Author(s):  
Muhittin Sagnak
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Analytic Network Process ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Strategic Decisions ◽  
Chain Management ◽  
Customer Expectations ◽  
Network Process ◽  
Fuzzy Analytic Network Process

Nowadays, supply chain management decisions have become strategic decisions. Also, greening process of supply chain activities were required due to satisfy the customer expectations, and protect the environmental life. Since one of the strategic decisions for supply chains is the supplier selection, greening process also became necessary for supplier evaluations. Within this context, in this chapter, a comprehensive list of the criteria for green supplier selection was determined. Fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) method was applied to determine the cause-effect relationships between the main criteria. Fuzzy Analytic Network Process (ANP) method was used to find the relative weights of the criteria. Finally, fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method was applied to prioritize the various suppliers.

scholarly journals Environmental Issues in Supply Chain Management using MCDM Tool - An Example from Mining Industry

2019 ◽  
Vol 8 (4S2) ◽  
pp. 196-201
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Mining Industry ◽  
Environmental Issues ◽  
Analytic Network Process ◽  
Green Supply Chain ◽  
Chain Management ◽  
Network Process ◽  
Main Factors ◽  
Decision Making Tool

Green supply chain management is being concerned for both development and eminent difficulties are observed through supply chain mining activities. In Mining Industry, All the exercises engaged with extraction, generation, circulation add to ecological concerns. The ecological and health problem are still now prevailing due to uncaring in green supply chain activities. In our thesis the environmental problems are categorized as main factors and sub factors by collecting opinion from industrial experts & reputed literature survey. The main factors and sub- factors are rated and evaluated by one of the multi criteria decision making tool (MCDM) i.e Fuzzy Analytic Network Process (ANP). According to AHP, the main factors and sub factors are rated and arranged as more affecting factor to environment based on global value attained. As the result, it was found that the most influencing factors are Impact on land and its sub factors.

Structural Decisions of Sustainable Manufacturing Strategy with Fuzzy Analytic Network Process (FANP)

2015 ◽  
Vol 6 (2) ◽  
pp. 12-27 ◽  
Author(s):  
Lanndon Ocampo ◽  
Eppie Clark ◽  
Kae Vines Tanudtanud
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Sustainable Manufacturing ◽  
Analytic Network Process ◽  
Linguistic Variables ◽  
Sustainable Supply Chain ◽  
Manufacturing Strategy ◽  
Network Process ◽  
Fuzzy Analytic Network Process ◽  
Relevant Component

This paper proposes the use of fuzzy analytic network process (FANP) in identifying the content of the structural decisions of manufacturing strategy that integrates sustainability and the classical manufacturing strategy framework, considering firm size as a relevant component in decision-making. Fuzzy set theory elucidates judgment through linguistic variables while analytic network process (ANP) handles the complexity of the decision-making brought about by subjectivity and relationships among components in the decision problem. A group of experts in manufacturing was tasked to elicit judgment in pairwise comparisons following in the methodology of the ANP. Results also show that structural decisions that support sustainability integrate backward supply chain. This supports existing approaches particularly on sustainable supply chain and green purchasing. The contribution of this work lies in adopting a multi-criteria decision-making (MCDM) framework that identifies the content of the structural decisions of a sustainable manufacturing strategy.

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