SUPPLY CHAIN INVENTORY IN A TWO-WAREHOUSE SYSTEM USING ARTIFICIAL BEE COLONY OPTIMIZATION

Abstract

This paper explores the application of Artificial Bee Colony (ABC) Optimization for optimizing supply chain inventory in a Two-warehouse system. The objective is to minimize overall costs associated with inventory management. The study adapts the ABC algorithm, addressing the complexities of a Two-warehouse system. The implementation involves defining the problem, formulating the objective function, identifying constraints, and coding the algorithm. Results demonstrate the effectiveness of ABC Optimization in enhancing supply chain efficiency, providing practical insights for businesses managing inventory in multi-warehouse scenarios.