OPTIMIZING INVENTORY MANAGEMENT IN DUAL-WAREHOUSE SYSTEMS USING THE CUCKOO SEARCH ALGORITHM

Abstract

Efficient inventory management is paramount in optimizing supply chain operations, particularly in systems with multiple warehouses. This study investigates the application of the Cuckoo Search Algorithm to address the intricacies of inventory optimization in a two-warehouse system. The proposed approach seeks to strike the optimal balance between maintaining sufficient stock levels to meet customer demand while minimizing overall inventory costs. The research involves problem formulation, algorithm integration, and performance evaluation within the context of a dual-warehouse setup. Findings demonstrate the algorithm's effectiveness in yielding near-optimal solutions for complex inventory scenarios. This research contributes to supply chain management by presenting a novel method that harnesses nature-inspired algorithms to enhance inventory optimization in dual-warehouse systems.

Keywords: Warehouse, Inflation, Variable holding cost, production cost, Cuckoo Search Algorithm