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AUTOMATION OF PRODUCTION LOGISTICS: PROCESS OPTIMIZATION AND COST REDUCTION

Zhang Haoxiang   (Baltic State Technical University )

The article is devoted to the problem of automating production logistics under Industry 4.0 conditions. The relevance of the topic is due to the need to improve the efficiency of logistics processes and reduce costs amid the digital transformation of production. The aim of the study is to develop a methodology for automating production logistics that ensures process optimization and cost reduction. The tasks include analyzing the existing approaches to logistics automation, developing a conceptual model, and testing it with empirical data. The research methodology is based on a systems approach, simulation modeling methods, and multi-criteria optimization. The empirical base consisted of data from 50 manufacturing companies from various industries during the period 2018–2023. The results demonstrate that the proposed methodology can reduce logistics costs by 12–18% (p<0.01), shorten order fulfillment time by 20–25% (p<0.05), and increase delivery reliability to 98–99% (p<0.01). The key factors contributing to the effectiveness of automation were identified as the integration of information systems (β=0.34), route optimization (β=0.28), and the automation of warehouse operations (β=0.25). The theoretical significance of the research lies in the development of a methodology for the digital transformation of production logistics. Its practical value is associated with the potential application of the developed models and algorithms to enhance the efficiency and competitiveness of companies. Prospects for further research include scaling the methodology to global supply chains and taking into account the sustainability and adaptability factors of logistics systems.

Keywords:logistics automation, Industry 4.0, simulation modeling, process optimization, cost reduction, digital transformation of production.

 

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Citation link:
Zhang H. AUTOMATION OF PRODUCTION LOGISTICS: PROCESS OPTIMIZATION AND COST REDUCTION // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2025. -№04. -С. 170-173 DOI 10.37882/2223-2966.2025.04.49
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