• Jyoti Chaudhary
• Shweta Malik
• Shashi Sharma
• S. R. Singh
• Neha Saxena

This research proposes a comprehensive multi-objective optimization model for green supply chain management (GSCM) that incorporates efficient waste management strategies. The study aims to address the environmental impact of supply chain operations by simultaneously optimizing conflicting objectives, including minimizing carbon footprint, reducing resource consumption, maximizing cost-effectiveness, and enhancing overall sustainability. The proposed model integrates green practices at various stages of the supply chain, emphasizing waste reduction, recycling, and responsible disposal methods. Through a combination of mathematical modeling and simulation techniques, the research explores trade-offs and synergies among different objectives to develop a balanced and sustainable solution. The outcomes of this study provide valuable insights for decision-makers in designing and implementing green supply chain practices with a focus on waste management, contributing to the advancement of environmentally conscious and socially responsible supply chain operations.

Multi-Objective Optimization; Green Supply Chain; Waste Reduction; Carbon Emission

"Multi-Objective Optimization for Green Supply Chain Management with Sustainable Waste Management Practices", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.j560-j570, April-2024, Available :http://www.jetir.org/papers/JETIR2404973.pdf

"Multi-Objective Optimization for Green Supply Chain Management with Sustainable Waste Management Practices", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppj560-j570, April-2024, Available at : http://www.jetir.org/papers/JETIR2404973.pdf