Year: 2025
Type: article
Abstract: This paper presents a novel soft computing framework that applies Genetic Algorithms (GAs) to optimize inventory management in a two-warehouse system. The two-warehouse inventory system is a common problem in supply chain management, where goods are stored in two distinct locations: a central warehouse and a local warehouse. The objective is to minimize the total cost, which includes ordering, holding, and transportation costs while satisfying the demand over time. Genetic Algorithms, a heuristic optimization technique, are employed to find the optimal solution for inventory replenishment policies under uncertain conditions. The proposed framework is tested on several benchmark problems, and results show that it can effectively improve decision-making by providing near-optimal solutions in comparison with traditional methods. This approach offers a practical solution for inventory control in real-world applications, considering both fixed and variable costs in a two-warehouse setting.
Source: Journal of Neonatal Surgery
Authors: Vaibhav Sharma, Yogesh Awasthi, Sanjey Kumar
Institutions: Shobhit University, Africa University, SRM University
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409115008