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Tag: supply chain

The impact of modern ERP systems on supply chain management
Автор:

Бібліографічний опис статті:

. The impact of modern ERP systems on supply chain management//Наука онлайн: Міжнародний електронний науковий журнал - 2025. - №4. - https://nauka-online.com/publications/economy/2025/4/19-7/

Анотація: (English) Amid accelerating global digitalization of business processes, the integration of ERP systems into supply chain management has become a key factor in determining the competitiveness of modern enterprises. The aim of this article is to provide a multifaceted analysis of the transformational impact of enterprise resource planning (ERP) platforms on logistics operations, with a focus on identifying and describing mechanisms that enhance the efficiency of material flows. Ongoing academic debates reveal significant contradictions regarding the optimal level of ERP system customization, the role of the human factor in implementation, and the potential for integration with Industry 4.0 technologies. Based on a structured review of relevant publications, it is observed that the comprehensive integration of ERP platforms into supply chain architecture leads not only to quantitative improvements in operational performance—such as inventory reduction and enhanced forecasting accuracy—but also to a qualitative transformation of managerial paradigms. In this context, the author outlines a perspective on the development of workforce competencies within the digital ecosystem. The content presented in this article is valuable for logistics managers, system integrators, and the academic community engaged in research on the digital transformation of business processes.

Ключові слова: artificial intelligence digital transformation enterprise resource planning ERP systems integration inventory management logistics optimization supply chain synchronization
Категорії: Економіка
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Features of uninterrupted delivery of bulk materials in the construction of roads, overpasses, and highways
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Бібліографічний опис статті:

. Features of uninterrupted delivery of bulk materials in the construction of roads, overpasses, and highways//Наука онлайн: Міжнародний електронний науковий журнал - 2025. - №4. - https://nauka-online.com/publications/technical-sciences/2025/4/09-22/

Анотація: (English) This study examines the features of ensuring uninterrupted delivery of bulk materials required for the construction of roads, overpasses, and highways. The analysis covers technological and organizational aspects of transportation, logistics strategies, and supply chain management approaches in this field. Particular attention is given to the integration of digital technologies, such as IoT, ERP, and SCM systems, to optimize delivery processes, reduce costs, minimize losses, and enhance construction efficiency. Based on a literature review, the study formulates the hypothesis that implementing an integrated digital platform in the logistics of bulk materials can ensure the sustainability and quality of construction projects. The methodological framework includes a systematic analysis and a comparative literature review, allowing for the identification of a scientific gap. The findings of this study may be of interest to researchers and postgraduate students specializing in transport logistics, innovative construction technologies, and supply chain optimization, as it provides an in-depth analysis of uninterrupted bulk material delivery dynamics in the context of modern infrastructure projects. Additionally, the results may be useful for practicing engineers and experts in government regulatory bodies seeking to implement advanced methods to improve reliability and economic efficiency in large-scale road, overpass, and highway projects.

Ключові слова: bulk materials digital technologies innovative approaches logistics road construction supply chain uninterrupted delivery
Категорії: Технічні науки
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Application of demand forecasting models in inventory management
Автор:

Бібліографічний опис статті:

. Application of demand forecasting models in inventory management//Наука онлайн: Міжнародний електронний науковий журнал - 2025. - №3. - https://nauka-online.com/publications/economy/2025/3/08-20/

Анотація: (English) The study focuses on improving inventory management efficiency through accurate demand forecasting. It provides an overview of key statistical methods (ARIMA, exponential smoothing) and modern machine learning techniques (decision trees, neural networks), along with their hybrid versions. The impact of forecast accuracy on critical logistics aspects—inventory levels, safety stock, turnover rates, and shortage risks—is examined. Successful implementation practices in leading companies are analyzed, highlighting the economic benefits achieved. The author's contribution includes recommendations on selecting and adapting models to the specifics of logistics processes, as well as proposals for integrating demand forecasting with other elements of supply chain management.

Ключові слова: ARIMA demand forecasting forecast accuracy inventory management logistics machine learning neural networks supply chain
Категорії: Економіка
167 Comments off читати онлайн

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