Intelligent optimization and inventory control of deteriorating items: an overview

P Singh and M Jain, KNOWLEDGE AND INFORMATION SYSTEMS, 67, 8335-8375 (2025).

DOI: 10.1007/s10115-025-02481-8

The inventory control of deteriorating items plays an important role since it has a direct influence on the supply chain efficiency and profitability of the concerned organizations. Businesses can use metaheuristic algorithms to optimize inventory levels, cut costs, and increase service levels. The present study provides an overview of the use of metaheuristic algorithms in inventory control of deteriorating items. This study presents an integrated view of how applications of various metaheuristic techniques such as genetic algorithms (GA), differential evolution (DE), particle swarm optimization (PSO), grey wolf optimizer (GWO), and others can be effectively used to address the inventory management issues. The present study demonstrates that metaheuristics greatly enhance the efficiency of inventory control by reducing waste as well as the cost associated with the product deterioration. This study concluded that use of metaheuristics to inventory management can increase supply chain profitability and efficiency. Our findings indicate that intelligent algorithms can be used by the organizations to build more efficacious inventory control systems for the deteriorating items. This review article can be treated as a valuable resource for the practitioners and academicians interested in implementing the intelligent optimization strategies for the inventory management of deteriorating items in various contexts.

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