Data-Driven Eoq Optimization in Uncertain Economic Environments

This study examines at business trends in the mobile space, with a particular emphasis on major players like Vivo and Oppo. These type of products deals with inventory management issues under uncertainty. The study analyze the ideal order quantity for maximum economic efficiency using the economic order quantity (EOQ) model. The study looks at viewpoints and values in decision-making under uncertainty. The study considers the Vivo mobile phone models as case studies, using profits, costs and varying demand to determine ideal order sizes. Considering the Maximax, Maximin, Laplace, Hurwicz and Minimax Regret rules for decision-making. Real-world data offer opportunities for prediction and risk management in addition to comparative analysis. The research assist business design approaches that empower them to adjust to new market trends and achieve greater productivity. It guides professionals in both the education and business sectors clearly understand the adaptive inventory strategies in turbulent and changing competitive product development market. This helps in making best choice for both profitability and adaptability across diverse scenarios in business.