System Engineering and Productivity

System Engineering and Productivity

Application of Optimal Control Approach in the Optimization of Production Inventory Systems in Supply Chain

Document Type : Research Paper

Authors
Seyed Hamid Emadi 1
Abolfazl Sadeghian 2
Mozhdeh Rabbani 3
Hassan Dehghan Dehnavi 4
1 Ph.D. Student, Department of Management, Faculty of Humanities, Yazd Branch, Islamic Azad University, Yazd, Iran
2 Corresponding author: Assistant Professor, Department of Management, Faculty of Humanities, Yazd Branch, Islamic Azad University, Yazd, Iran
3 Assistant Professor, Department of Management, Faculty of Humanities, Yazd Branch, Islamic Azad University, Yazd, Iran
4 Associate Professor, Department of Management, Faculty of Humanities, Yazd Branch, Islamic Azad University, Yazd, Iran
10.22034/msb.2024.2026595.1203
Abstract
This research aims to apply the optimal control approach to the optimization of production inventory systems in the supply chain. The research is of an applied nature. In this research, we develop the proposed method based on the Legendre orthogonal kernel to model state variables and control functions. In order to obtain weighting parameters for the polynomial kernel, we use least squares support vector regression during the training process. The proposed method provides accurate prediction and effective control of inventory levels, which leads to cost reduction and optimization of supply chain operations. This research examines the effectiveness of the proposed approach by presenting a number of test cases derived from the data of the studied company, along with displaying the optimal production level diagram and the optimal inventory level of the seller and buyer. The results show that the syringe manufacturing company can increase its production capacity by optimizing the current situation with a numerical modeling approach. Also, by using machine learning and optimal control, the company can improve inventory, production and maintenance costs, and production flow in a way that optimizes and optimizes annual production. This research provides various solutions to increase the effectiveness of production processes, which include improving operational processes, technology and equipment, scheduling, logistics, employee training, product quality, repairs and maintenance, information flow, and customer feedback. In addition, this research can be used as a reference for improving production processes in similar industries.

Highlights

  • The purpose of this research is the application of optimal control approach in the optimization of production inventory systems in the supply chain.
  • In this research, it examines the effectiveness of the proposed approach by providing test samples based on the information of the company under study.

Keywords
Optimal production control
Supply chain
Machine learning
Least squares support vector

Copyright ©, Seyed Hamid Emadi, Abolfazl Sadeghian, Mozhdeh Rabbani, Hassan Dehghan Dehnavi

 

License

This article is released under the Creative Commons Attribution (CC BY 4.0) license. Anyone is free to copy, share, translate, and adapt this article for any purpose, whether commercial or non-commercial, as long as proper citation is given to the authors and original publication.

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System Engineering and Productivity
Volume 4, Issue 1 - Serial Number 10
Serial No. 10, Spring Quarterly
Spring 2024
Pages 85-98

  • Receive Date 15 April 2024
  • Revise Date 06 June 2024
  • Accept Date 19 June 2024
  • First Publish Date 20 June 2024
  • Publish Date 20 June 2024