IMPROVING THE EFFICIENCY OF ENTERPRISE SUPPLY CHAIN MANAGEMENT METHODS

Modern companies face numerous challenges in supply chain management, particularly due to globalization, increasing competition, and the need for quick adaptation to market changes. Inefficient supply chain management can lead to higher costs, supply delays, and reduced customer satisfaction, which directly impacts financial performance and competitiveness. The study aims to identify methods for improving supply chain management efficiency, taking into account current economic and technological conditions. Given the volatility of global markets, it is crucial to develop adaptive and resilient supply chain strategies that align with both short-term objectives and long-term sustainability goals. The study uses methods of analysis, synthesis, comparative analysis, as well as a systems approach to assess modern supply chain management strategies. The impact of cutting-edge technologies such as Big Data, artificial intelligence, the Internet of Things, and blockchain on optimizing supply chain processes was analyzed. The effectiveness of ERP systems in the context of business process integration and risk management was evaluated. The study identified key issues in supply chain management: insufficient integration between systems, low supply chain transparency, inefficient inventory management, and high logistics costs. To address these issues, the following solutions were proposed: Implementing ERP systems and enhancing their functionality for business process integration; Using Big Data analytics for demand forecasting; Developing risk management strategies, particularly through supplier and transport route diversification; Optimizing inventory and reducing logistics costs by automating and applying flexible supply models. Improving supply chain management efficiency requires active use of modern technologies and innovative optimization methods. Integration of Big Data, artificial intelligence, and the Internet of Things helps reduce costs, shorten delivery times, increase process transparency, and ensure stability in order fulfillment. The proposed solutions will contribute to enhancing the competitiveness of enterprises in dynamic economic conditions.

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Publication Details

Journal
Odessa National University Herald Economy
Published
2025-01-01
DOI
https://doi.org/10.32782/2304-0920/2-104-1
Primary Topic
Economic and Technological Systems Analysis
Type
article
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article

IMPROVING THE EFFICIENCY OF ENTERPRISE SUPPLY CHAIN MANAGEMENT METHODS

Vitalii Dzhenkov
Odessa National University Herald Economy
Economic and Technological Systems Analysis
article

IMPROVING THE EFFICIENCY OF ENTERPRISE SUPPLY CHAIN MANAGEMENT METHODS

Vitalii Dzhenkov
article en

Abstract

Modern companies face numerous challenges in supply chain management, particularly due to globalization, increasing competition, and the need for quick adaptation to market changes. Inefficient supply chain management can lead to higher costs, supply delays, and reduced customer satisfaction, which directly impacts financial performance and competitiveness. The study aims to identify methods for improving supply chain management efficiency, taking into account current economic and technological conditions. Given the volatility of global markets, it is crucial to develop adaptive and resilient supply chain strategies that align with both short-term objectives and long-term sustainability goals. The study uses methods of analysis, synthesis, comparative analysis, as well as a systems approach to assess modern supply chain management strategies. The impact of cutting-edge technologies such as Big Data, artificial intelligence, the Internet of Things, and blockchain on optimizing supply chain processes was analyzed. The effectiveness of ERP systems in the context of business process integration and risk management was evaluated. The study identified key issues in supply chain management: insufficient integration between systems, low supply chain transparency, inefficient inventory management, and high logistics costs. To address these issues, the following solutions were proposed: Implementing ERP systems and enhancing their functionality for business process integration; Using Big Data analytics for demand forecasting; Developing risk management strategies, particularly through supplier and transport route diversification; Optimizing inventory and reducing logistics costs by automating and applying flexible supply models. Improving supply chain management efficiency requires active use of modern technologies and innovative optimization methods. Integration of Big Data, artificial intelligence, and the Internet of Things helps reduce costs, shorten delivery times, increase process transparency, and ensure stability in order fulfillment. The proposed solutions will contribute to enhancing the competitiveness of enterprises in dynamic economic conditions.

Odessa National University Herald EconomyVol. 30(2(104))
Openalex Percentile: Top 75%
Economic and Technological Systems Analysis
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