Abstract:
With the growing environmental concerns and heightened public awareness, companies face
mounting pressure from governmental bodies and stakeholders to adopt eco-friendly practices.
This has driven a significant emphasis on incorporating green principles into daily operations. A
vital component of this shift towards environmental responsibility is the careful selection of
circular suppliers. The Circular Economy concept focuses on reusing, recycling, or repurposing
products and materials, reducing waste and environmental impact. Choosing suppliers aligned with
this model becomes essential. These suppliers contribute to waste reduction and resource
efficiency. Thus, this study delves beyond standard supplier selection, emphasizing alignment with
Circular Economy principles. This research introduces a novel integrated approach that integrates
the Fuzzy Simplified Best Worst Method (F-SBWM) and Fuzzy Decision-Making Trial and
Evaluation Laboratory (FDEMATEL) to determine the weights of criteria and sub criteria while
considering the interdependencies among criteria to resolve supplier selection problem. F-SBWM
is used to determine the weights of the criteria and sub criteria without considering the
Interdependencies among criteria, while FDEMATEL then addresses the inner dependencies
among criteria. Subsequently, the Interdependencies is applied on the initially calculated weights
to get the final weights which are ultimately used to evaluate the suppliers. This integrated method
aims to overcome prior limitations while effectively leveraging their strengths. The research is in
accordance with Sustainable Development Goals (SDGs) including SDG 8, which focuses on
promoting decent work and economic growth, and SDG 12, which emphasizes responsible
consumption and production. It offers a practical approach for ranking suppliers within the circular
supply chain, contributing to sustainable and environmentally responsible practices.
