Equipment Possession Quantity Modeling and Particle Swarm Optimization

Equipment and facility are the important basis of the production for the manufactory. Equipment possession quantity is the reasonable manufactory equipment amount that meets the production demand. The relationship among equipment possession quantity, the ratio of equipment in good condition and equipment quantity on duty is introduced, and mathematics models of equipment possession quantity is described and presented. Least squares method is employed to make the equipment possession quantity parameter optimization model and particle swarm optimization algorithm is used to optimize the model. To improve the computational precision of the model, the equipment possession quantity model is analyzed by subsection according to the evaluation range of equipment amount. Furthermore, the basic particle swarm optimization model (PSO), the linearly decreasing inertia weight particle swarm optimization model (LDPSO) and the adaptive inertia weight particle swarm optimization model (APSO) are respectively employed to optimize the parameters of the equipment possession quantity model. The computational results show that all of the three algorithms efficiently optimize the model and the performance of LPSO is worse than PSO and APSO. Moreover, the precision of equipment possession quantity model by subsection is much better than the former research.