Sustainable Supply Chain Model for Agile Manufacturing and Advertisement-Driven Demand Under Uncertainty

Abstract

Supply chain management (SCM) is of great importance to ensure efficiency, sustainability, and response in today’s competitive and environmentally sensitive industry. This study combines agile manufacturing with advertisement-dependent demand to enhance supply chain operations in the automotive industry, where changing preferences need adaptable production tactics. An Interval -Valued Triangular Intuitionistic Fuzzy Number (IVTIFN)- based decision-making model is suggested to address uncertainty in production scheduling, inventory control, and transportation management. The model incorporates carbon emission estimations to guarantee satisfaction with environmental requirements increasing overall efficiency. A Simulated Annealing (SA) technique optimizes inventory management and lowers total costs, resulting in an effective inventory solution. Sensitivity analysis and numerical example demonstrates the effect of important parameters on optimal cost and other decision variables. The results shows that combining agile manufacturing with demand forecasting considerably improves supply chain flexibility, cost-effectiveness, and sustainability.