Inventory system with generalized triangular neutrosophic cost pattern incorporating maximum life-time-based deterioration and novel demand through PSO

At the manufacturing plant or while products are being transferred from one supply layer to another, there is a considerable possibility of receiving damaged faulty items mixed in with non-defective commodities. This research focuses on and defective that shipped retailers by their suppliers. The retailer reworks make them non-defective, receives discount cost purchasing items. presented inventory system addresses uncertainty costs also considers deterioration prioritized maximum product life. In this study, our aim minimize total when demand rate as function quality power pattern time under crisp generalized triangular neutrosophic environments. Based payment deal, interest charges imposed only delay has passed particular allowable limit. number, which provides three different types membership functions representing truth, hesitation, falseness, used model handle pattern’s uncertainty. A particle swarm optimization approach analyze proposed model, results validated using numerical example sensitivity analysis for various parameters.