Published: Jan. 1, 2025
Language: Английский
Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2092 - 2092
Published: Feb. 28, 2025
Artificial intelligence (AI) is fundamentally transforming the management of supply chain activities, offering companies opportunity to configure resilient, transparent, and sustainable chains. Given its importance, this paper presents aspects implementation artificial in by performing a bibliometric analysis 400 scientific papers published between 2010 2024 indexed Scopus database. The was based on Bibliometrix 4.4.2 VOSviewer 1.6.19 software identify most important authors journals interest for researched topic. Keyword co-occurrence co-citation analyses were used map intellectual networks highlight themes interest. research results confirm increase field applying AI management, highlighting advantages implementing technology management. At same time, recommendations conclusions will be useful both academic researchers business professionals potential areas collaboration with aim developing strategies that contribute competitiveness are part network.
Language: Английский
Citations
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
Citations
0
Published: April 19, 2025
Artificial Intelligence paved the path for integration into industrial management, which shook up operational frontier within manufacturing and supply chain. Combining these with machine learning, predictive analytics, robotics computer vision, this thought provoking, comprehensive review considers transformative potential of mixed use AI in driving enhanced productivity, better decisions, smarter processes. The study describes how theoretical constructs became practical applications capable maintenance, real time monitoring, demand forecasting flexible systems. Dynamic resource allocation, as supported by AI, allows us to improve operation quality inspection systems control management chain through intelligent logistics inventory resilience. Besides that, technologies not only lower cost downtime production, but also allow further customization, agility innovativeness towards vary market needs. In same vein, can analyze big data help industries make concrete strategic decisions driven data. However, paper argues spite advantages critically discusses several key barriers adoption, include legacy system integration, privacy concern, workforce readiness organizational resistance. It highlights significance cultural transformation, ethical practices, skilling construct ensuring full deployment an environment. is expected cause additional emerging trends like digital twins, generative Industry 5.0 meaningfully stir will create socio-technological synergies foster efficiency while maintaining sustainability human centric values. concludes that actually reshape frameworks it become a fundamental part transformation enterprises.
Language: Английский
Citations
0
Published: Jan. 1, 2025
Language: Английский
Citations
0