Adaptive optimal control of the production inventory system in supply chain management with completely unknown dynamics

Mahdizadeh, F.; Izadbakhsh, H.

Growing Science » Management Science Letters » Adaptive optimal control of the production inventory system in supply chain management with completely unknown dynamics

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Management Science Letters

ISSN 1923-9343 (Online) - ISSN 1923-9335 (Print) Quarterly Publication Volume 13 Issue 4 pp. 229-234 , 2023

Adaptive optimal control of the production inventory system in supply chain management with completely unknown dynamics Pages 229-234 Download PDF

Authors: Fatemeh Mahdizadeh, Hamidreza Izadbakhsh

DOI: 10.5267/j.msl.2023.6.005

Keywords: Adaptive Optimal Control, Production Inventory System, Weibull Distribution, LQR

Abstract: This paper describes the adaptive optimal control of the inventory production system with Weibull-distributed deterioration items. First of all, the dynamic model of the system is presented with all possible disturbances and uncertainties. Then, it is controlled using an adaptive and optimal controller. In this method, by having numerical data from the output of the system without using its dynamic equations, an LQR controller is estimated for it. This is important and practical because in physical systems under significant disturbances and fundamental uncertainties, the dynamic equations of the system will not have the former reliability; And it is possible to change the equations of motion by adding any non-linearity so that the conventional controllers will suffer an error. Finally, it is shown that due to the nature of the system and existing uncertainties, the used method has a clear advantage over other optimal control methods and their application in optimizing the inventory production system in the supply chain.

How to cite this paper

 Mahdizadeh, F & Izadbakhsh, H. (2023). Adaptive optimal control of the production inventory system in supply chain management with completely unknown dynamics.Management Science Letters , 13(4), 229-234.

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