Applying the linear particle swarm optimization to a serial multi-echelon inventory model

In the aspect of supply chain management; responding to the accurate needs of customers and effectively reducing the total costs are of significance activities for companies to achieve their competitive edges and to have opportunities to gain large amounts of advantages in the current highly competitive global supply chain management environment. Therefore, this article provides a serial multi-echelon integrated just-in-time (JIT) model based on uncertain delivery lead time and quality unreliability (SMEIJI model) considerations. Hence, we will apply the particle swarm optimization (PSO) as a method to result an improved solution solving a mixed nonlinear integer problem. Based on our fitting parameter settings, the final result show that the linear decreasing weight particle swarm optimization (LDW-PSO) will be efficiently performable and have a primary solution in solving the multi-echelon inventory problem.