UTILIZING BACTERIAL FORAGING OPTIMIZATION FOR ENHANCED SUPPLY CHAIN INVENTORY IN TWO-WAREHOUSE SYSTEM
Seema Agarwal1, Praveen B M2, Krishan Pal3, Ajay Singh Yadav4, Anupam Swami5
1Post-Doctoral Research Scholar, Srinivas University, Mukka, Surathkal, Mangaluru, Karnataka, India and
1Assistant Professor, Department of Mathematics, SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad, India.
2Director- Research, Department of Chemistry, Srinivas University, Mukka, Surathkal, Mangaluru, Karnataka, India.
3Research Scholar, Department of Mathematics, SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad, India.
4Associate Professor, Department of Mathematics, SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad, India.
5Assistant Professor, Department of Mathematics, Km. Mayawati Government Girls P.G. College, Badalpur, U.P., India.
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.
Keywords: Warehouse, Inflation, Variable holding cost, production cost, Bacterial Foraging Optimization