STUDY ON THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN MATERIAL MOVEMENT BASED ON SCIENTIFIC PUBLICATIONS

Revista Multidisciplinar do Nordeste Mineiro, Journal Year: 2025, Volume and Issue: 1(1), P. 1 - 13

Published: Jan. 15, 2025

Artificial intelligence is one of the information and communication technologies that has promoted major transformations in organizations their production processes, especially material handling. The growing number published studies led to development this study, which aimed describe main characteristics report application artificial method used was conceptual bibliographic, bibliometric design based on four stages: formulation research questions, collection bibliographic data, analysis, organization collected generation answers guiding questions. results showed focuses applications are a) improvement optimization logistics process, increased rationality human-machine actions, decision-making b) use several simultaneous methods techniques, c) facing problematic situations at problem-solving technologies, d) multiple tools, e) successful have competitiveness handling f) opening for new interconnected applications. conclusion shows using provided an environment enhancing human cognitive capacity. contribution study science finding professional training needs incorporate mastery intelligence.

Language: Английский

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SMEs perspective in Africa creating sustainable and resilient economies

African Identities, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 4

Published: Jan. 27, 2025

Language: Английский

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Driving SME Growth Through Digital Leadership: Exploring Tenure and Transformation Dynamics

Administrative Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 104 - 104

Published: March 15, 2025

The main objective of this study is to investigate the role digital leadership in sustainability SMEs. Furthermore, examines mediating transformation between and SME moderating tenure on relationship transformation. This research provides a unique perspective by exploring these connections within context developing countries considering Malaysia as case study. We employed structural equation modeling (SEM) technique analyze 368 respondents’ data. results found positive SMEs’ sustainability. it also revealed significant Examining factors provided valuable insights for SMEs policymakers alike. Research findings contribute both theoretical understanding practical applications.

Language: Английский

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Trends in Sustainable Inventory Management Practices in Industry 4.0

Processes, Journal Year: 2025, Volume and Issue: 13(4), P. 1131 - 1131

Published: April 9, 2025

This study examines 52 recently published papers on sustainable inventory management in Industry 4.0, intending to bridge theory and practice through a comprehensive literature review. By analyzing the latest advancements discussed over past two years, covering 2024 2025, we identify key trends shaping field highlight existing gaps that may require further exploration. Focusing this time frame is particularly relevant because it reflects how companies have started using artificial intelligence more practically support sustainability goals. During these AI has been applied improve tracked, demand predicted, resources are managed reduce waste. These tools making supply chains efficient while helping organizations lower their environmental impact. In regard, our work aims provide deeper understanding of strategies evolving response technological innovations, offering insights for researchers practitioners seeking enhance efficiency responsibility modern chains.

Language: Английский

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