Smart inventory control by using PID ACO controller and fuzzy logic controller

Abstract

This article proposes strategies to manage inventory: PID-ACO controller based and Fuzzy logic controller based. The ACO (ant colony) algorithm is used with the aim of tuning the optimum solution of the PID controllers (Kp, Ki, and Kd) by minimizing the Integral of Square ERROR (ISE). The simulation results show that the proposed PID-ACO control strategy can significantly reduce ISE. In this study, the simulation model is validated with an experimental study. The results show that the PID ACO performances are significantly satisfactory.