ENHANCING INVENTORY EFFICIENCY IN A DUAL-WAREHOUSE SYSTEM: A FLOWER POLLINATION ALGORITHM APPROACH

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.