Developing a framework for integration of a green supply chain at energy production using fuzzy-QFD

Abstract

The study aims to develop a framework for the integration of green supply chains at energy production using fuzzy-QFD. The study will identify green requirements (GR) and green factors (GF), propose a multi-criteria decision-making model to determine GR's priority weights and determine the relationships between GRs and GFs in the energy sector. The study also calculates absolute technical importance ratings and normalized ratings by using a fuzzy-quality function deployment approach. To validate the proposed framework, sensitivity analysis was performed which revealed that the adoption of GCM increased the cost by 20%, environmental quality by 25% and the efficiency level by 20%. These results will help to reduce carbon footprints and ensure sustainability in the process of energy transportation and energy value chain including all activities necessary for the production, distribution and consumption of electrical energy. The present study suggests developing internal operations in the light of green supply chain management in the energy sector. Moreover, the subjectivity of the developed framework needs to be assessed more in other sectors.