Robust Inventory Control under Intermittent Demand and Supply Disruptions: A Fuzzy Logic Approach

Authors- Purnima Raj, Nitish Kumar Bharadwaj

Abstract-– Inventory management in the presence of intermittent demand and unpredictable supply disruptions presents significant challenges to traditional deterministic models. This study proposes a robust inventory control framework using fuzzy logic to effectively manage uncertainty in both demand and supply chains. The model incorporates fuzzy demand forecasts, probabilistic supply interruptions, and flexible replenishment policies. By utilizing fuzzy inference systems and robust optimization techniques, the proposed approach enhances decision-making under uncertain environments. Numerical simulations and comparative analyses with conventional models demonstrate the superiority and practical viability of the proposed fuzzy logic-based inventory control system. Furthermore, sensitivity analysis and graphical illustrations support the robustness of the model across varying scenarios of disruption intensity and demand irregularity.

DOI: /10.61463/ijset.vol.13.issue2.323