Investigating a Sustainable Inventory System with Controlled Non-Instantaneous Deterioration for Green Products via the Dragonfly Algorithm

Abstract

Sustainability is essential in addressing the environmental impacts of supply chains, a significant source of global emissions. This study develops an inventory model to optimize retailer profit by integrating joint pricing, environmental investment, ordering costs, preservation technology, and replenishment timing for non-instantaneously decaying items. Demand depends on stock and selling price, while an algorithm optimizes variables such as selling price, preservation investment, emission costs, ordering costs, and replenishment cycles. The dragonfly algorithm (DA) is employed to find optimal solutions, with numerical analysis demonstrating the model’s application. To justify the results, we have used an updated version of the dragonfly algorithm. Managerial insights highlight the practical relevance of the proposed framework.