A Fuzzy Rule-Based Approach for Inventory Control under Uncertain Demand

Inventory management requires effective decision-making to balance
product availability and operational costs. In many real-world
situations, inventory decisions are often made based on human
judgment rather than precise numerical data. To capture this
reasoning process, this chapter proposes a fuzzy rule-based inventory
control system that models human decision logic using linguistic
variables and IF–THEN rules. Demand level and inventory level areconsidered as input variables, while order quantity is treated as theoutput variable. A Mamdani fuzzy inference mechanism is used toprocess the rule base and determine appropriate ordering decisions.A numerical example is provided to illustrate the applicability of the
proposed approach in handling uncertainty in practical inventoryenvironments.