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

Majed Alharbi ()
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Majed Alharbi: Department of Mathematics, College of Science, Qassim University, Buraydah 51452, Saudi Arabia

Sustainability, 2025, vol. 17, issue 3, 1-23

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.

Keywords: non-instantaneous deterioration; nonlinear stock dependent demand; technology of preservation; ordering cost reduction; green product; carbon emissions (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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