Application of Optimal Control Approach in the Optimization of Production Inventory Systems in Supply Chain
Journal Title: System Engineering and Productivity - Year 2024, Vol 4, Issue 1
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.
Authors and Affiliations
Emadi, S. H. Sadeghian, A. Rabbani, M. Dehghan Dehnavi, H.
Keywords
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- EP ID EP768205
- DOI 10.22034/msb.2024.2026595.1203
- Views 9
- Downloads 0
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