ISSN:1005-3026

OPTIMIZING INVENTORY MANAGEMENT IN A TWO-WAREHOUSE SYSTEM USING THE CUCKOO SEARCH ALGORITHM

Seema Agarwal1, Praveen B M2, Ajay Singh Yadav3, Krishan Pal4

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.

3Associate Professor, Department of   Mathematics, SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad, India.

4Research Scholar, Department of   Mathematics, SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad, India.

Abstract:

Optimizing inventory management in a two-warehouse system is crucial for achieving efficient supply chain operations. This research explores the application of the Cuckoo Search Algorithm to address the complexities associated with inventory optimization. The proposed approach aims to find the optimal balance between maintaining adequate stock levels to meet customer demand and minimizing overall inventory costs. The study involves formulating the inventory optimization problem, integrating the Cuckoo Search Algorithm, and evaluating its performance in a two-warehouse system. Results demonstrate the algorithm’s efficacy in providing near-optimal solutions for complex inventory scenarios. This research contributes to the field of supply chain management by offering a novel approach that leverages nature-inspired algorithms to enhance inventory optimization processes in dual-warehouse systems.

Keywords: Warehouse, Inflation, Variable holding cost, production cost, Cuckoo Search Algorithm