Improving Inventory for a Large Food Service Supplier

Golden State Foods (GSF) is an international food service supplier. Their Georgia manufacturing plant currently produces thousands of condiments for restaurants across the United States. This project analyzed the inventory policies of seasonal ingredients, in order to decrease GSF’s working capital and inventory holding costs. By inputting product recipes, ingredient usage, and weekly inventory data into a dynamic lot-sizing model, we predict optimal order quantities and reorder points for GSF’s seasonal and expensive ingredients. This will potentially decrease the facility’s $1.2 million holding cost and increase its long-term profits compared to the status quo