UTILIZING BACTERIAL FORAGING OPTIMIZATION FOR ENHANCED SUPPLY CHAIN INVENTORY IN TWO-WAREHOUSE SYSTEM

Abstract

This study introduces a novel approach to optimize inventory in a two-warehouse supply chain by leveraging soft computing techniques, specifically the Bacterial Foraging Optimization (BFO) algorithm. The research explores the application of BFO in addressing the unique challenges of managing inventory across two warehouses. Performance evaluations and a real-world case study demonstrate the effectiveness of the proposed methodology, positioning it as a valuable tool for enhancing supply chain efficiency. The findings contribute to the ongoing discourse on the application of soft computing in modern supply chain management.