International Journal of Electrical and Computer Engineering
Vol 14, No 4: August 2024

Improving the efficiency of food supplies for a trading company based on an artificial neural network

Bisenovna, Kassekeyeva Aislu (Unknown)
Arman Ashatuly, Sadvakassov (Unknown)
Zhanar Beibutovna, Lamasheva (Unknown)
Yesilbayuly, Kerimkhulle Seyit (Unknown)
Zagievna, Abdrakhmanova Alfiya (Unknown)
Galymbekovna, Makpal Zhartybayeva (Unknown)
Oralkhanuly, Oralkhanov Berdibek (Unknown)



Article Info

Publish Date
01 Aug 2024

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.

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Journal Info

Abbrev

IJECE

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of ...