<![CDATA[This study focuses on optimizing the raw material supply scheduling at Company X, a business in the food and beverage industry, to maximize storage utilization. Company X faces challenges in balancing raw material demand with limited storage capacity, leading to issues such as stock shortages or overstocking. The current inventory management practices have proven ineffective in meeting consumer demand efficiently. This research utilizes a quantitative methodology, focusing on numerical data analysis to address the research objectives. Through this approach, measurable data are collected and examined to provide clear insights into patterns, relationships, and trends. The quantitative method ensures objectivity and precision, making it ideal for evaluating factors such as raw material supply schedules, storage capacity, and demand fluctuations, thereby supporting data driven decision-makingThrough the analysis of sales data and raw material requirements, this research aims to develop a more effective scheduling strategy that aligns supply with demand while optimizing storage space. The findings of this study offer potential solutions for improving operational efficiency, reducing waste, and enhancing the overall supply chain performance. By implementing optimized supply scheduling, Company X can ensure smoother operations and better meet consumer needs, thus maximizing value across the entire supply chain.]]>
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