ENHANCING SUPPLY CHAIN EFFICIENCY THROUGH ARTIFICIAL BEE COLONY OPTIMIZATION IN A TWO-WAREHOUSE SYSTEM
Abstract
This paper investigates the application of Artificial Bee Colony (ABC) Optimization for optimizing supply chain inventory in a Two-warehouse system. The primary aim is to minimize overall costs linked with inventory management. The study tailors the ABC algorithm to tackle the intricacies specific to a Two-warehouse setup. Implementation encompasses problem definition, formulating the objective function, identifying constraints, and coding the algorithm. Results showcase the efficacy of ABC Optimization in boosting supply chain efficiency, offering actionable insights for businesses navigating inventory management in multi-warehouse scenarios.
Keywords: Artificial Bee Colony Optimization, Two-Warehouse System, Inventory Management, Supply Chain Efficiency, Cost Minimization