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

被引：1

作者：

Sarir, Hicham ^{[1
]}

Abderhmane, Benkacem ^{[2
]}

机构：

[1] Natl Sch Appl Sci ENSA, Informat Syst & Software Engn Lab, Tetouan, Morocco

[2] Natl Sch Appl Sci ENSA, Innovat Technol Lab, Tangier, Morocco

来源：

2022 14TH INTERNATIONAL COLLOQUIUM OF LOGISTICS AND SUPPLY CHAIN MANAGEMENT (LOGISTIQUA2022) | 2022年

关键词：

Smart inventory management; PIDACO controller; Fuzzy logic controller;

D O I：

10.1109/LOGISTIQUA55056.2022.9938044

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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 PM 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 PM ACO performances are significantly satisfactory.

引用

页码：514 / 520

页数：7

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