International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 3
May-June 2026
Indexing Partners
A Study of Artificial Intelligence in Mechanical Engineering Units.
| Author(s) | Dr. Santosh Babanrao Chavan |
|---|---|
| Country | India |
| Abstract | Artificial Intelligence (AI) is revolutionizing mechanical engineering units by enhancing design, manufacturing processes, predictive maintenance, and especially material management. This conceptual paper explores the integration of AI technologies in mechanical engineering industries, with a focused lens on material management practices. Through an extensive comparative analysis of “before and after” AI implementation, the study highlights significant improvements in inventory optimization, demand forecasting, cost reduction, operational efficiency, and sustainability. Drawing on secondary data, industry benchmarks, and real-world case studies from manufacturing sectors, the paper identifies key applications, challenges, and a practical roadmap for adoption. The findings underscore AI’s transformative potential to drive competitiveness, resilience, and innovation in medium and large-scale mechanical engineering units |
| Keywords | Artificial Intelligence, Mechanical Engineering, Material Management, Inventory Optimization, Industry 4.0, Predictive Analytics, Supply Chain |
| Field | Business Administration |
| Published In | Volume 8, Issue 3, May-June 2026 |
| Published On | 2026-06-12 |
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E-ISSN 2582-2160
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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