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All Journal International Journal of Electrical and Computer Engineering
Galymbekovna, Makpal Zhartybayeva
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Computer Science & IT Electrical & Electronics Engineering

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Journal : International Journal of Electrical and Computer Engineering

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Improving the efficiency of food supplies for a trading company based on an artificial neural network Bisenovna, Kassekeyeva Aislu; Arman Ashatuly, Sadvakassov; Zhanar Beibutovna, Lamasheva; Yesilbayuly, Kerimkhulle Seyit; Zagievna, Abdrakhmanova Alfiya; Galymbekovna, Makpal Zhartybayeva; Oralkhanuly, Oralkhanov Berdibek
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i4.pp4407-4417

Abstract

This article presents the proper organization of the supply chain to meet consumer demand, which is crucial for modern commercial enterprises involved in the sale of various products. Studies indicate that a company's success is linked to the satisfaction of its customers. To optimize the supply chain, this study will consider the use of artificial neural network models. The results of this model will seek a balance between demand and supply, helping determine the necessary quantity of goods to satisfy demand and prevent overproduction. By using this model, the company can fully meet the needs of its customers. Additionally, the company saves its resources and labor costs and reallocates them to other tasks. The model demonstrates the optimization of production and supply business processes, as well as an increase in efficiency.
Co-Authors Arman Ashatuly, Sadvakassov Bisenovna, Kassekeyeva Aislu Oralkhanuly, Oralkhanov Berdibek Yesilbayuly, Kerimkhulle Seyit Zagievna, Abdrakhmanova Alfiya Zhanar Beibutovna, Lamasheva