International Journal of Neutrosophic Science IJNS 2690-6805 2692-6148 10.54216/IJNS https://www.americaspg.com/journals/show/2800 2020 2020 Department of Mathematics, Siddaganga Institute of Technology, Tumakuru – 572103, Karnataka, India N. N. Department of Mathematics, Periyar University Centre for Postgraduate and Research Studies, Dharmapuri - 635205, Tamil Nadu, India N. Anitha Department of Mathematics, Velammal College of Engineering and Technology, Madurai- 625009, Tamil Nadu, India A. P. Pushpalatha Department of Management Studies, Vardhaman College of Engineering, Hyderabad - 501218, Telangana, India K. Vinaya Laxmi Department of Mathematics, Vel Tech Rangarajan Dr Sagunthala R & D Institute of Science and Technology, Chennai – 600062, Tamil Nadu, India M. Premalatha Department of Mathematics, School of Engineering and Technology, CMR University, Hennur, Bagalur, Bengaluru – 562149, Karnataka, India Mekala Selvaraj Inventory management is characterized by a continuous struggle to lower goods levels and related costs while also providing customers with the goods they need. However, reducing costs while simultaneously striving for ideal inventory levels is difficult, notably in the current situation of high unpredictability of goods demand and lead time. Traditional inventory models are not strong enough to endure changes like goods demand and lead-time demand. As a result, it must be adjusted to achieve results. The oeuvre below presents a new kind of inventory model that deals with uncertainty in the demand for goods and lead time. In this regard, the presented work, the novel Neutrosophic Economic Order Quantity approach is a mechanism to account for the likely imprecision in the model. Specifically, the Neutrosophic set theory is integrated into the EOQ model so that it can handle variations in the demand and lead-time pattern successfully. An objective function is established for obtaining economical order quantities that include demand, lead-time, and other necessary components’ irregularities. The process variables in the model are given the final values using genetic algorithms and simulated annealing. To highlight the impact of the proposed Neutrosophic approach, it is then applied to several realistic examples. This will provide the audience a sense of how effective inventory management may be in high-uncertainty situations. The rapid evolution of organizations necessitates innovative inventory control tactics to meet growing demands 2024 2024 56 64 10.54216/IJNS.240305 https://www.americaspg.com/articleinfo/21/show/2800