ENHANCING INVENTORY EFFICIENCY IN A DUAL-WAREHOUSE SYSTEM: A FLOWER POLLINATION ALGORITHM APPROACH
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 paper explores the application of the Flower Pollination Algorithm (FPA) in optimizing inventory management for a two-warehouse supply chain. The objective is to minimize total inventory costs while meeting demand and adhering to operational constraints. FPA, inspired by the pollination process, is employed to iteratively improve solutions. The study includes problem formulation, algorithm integration, and validation using historical data. Results showcase FPA’s effectiveness in enhancing supply chain efficiency and decision-making. This research contributes valuable insights for leveraging soft computing in addressing complexities of inventory optimization in dual-warehouse scenarios.
Keywords: Warehouse, Inflation, Variable holding cost, production cost, Flower Pollination Algorithm