The rapid advancement of artificial intelligence (AI) technologies is fundamentally transforming manufacturingindustries worldwide. This paper systematically examines the principal directions in which AI is deployed to enhanceeconomic efficiency across production processes, covering predictive maintenance, intelligent quality control, supplychain optimisation, energy management, and adaptive production planning. Drawing on a comprehensive literature review,industry case studies, and quantitative performance data from Uzbek and international enterprises, we assess boththe economic benefits and the implementation challenges organisations encounter. Our findings indicate that AI-drivensystems reduce unplanned downtime by 25-45%, lower defect rates by up to 60%, and decrease energy consumptionby 15-30%. We further demonstrate that manufacturing firms in emerging economies-including Uzbekistan can achievecompetitive returns on AI investment within 18-36 months when adoption is supported by adequate digital infrastructureand workforce upskilling. The paper concludes with a strategic framework for policymakers and industry leaders seekingto maximise AI-enabled economic gains in the manufacturing sector
| Mualliflar | Rikhsiboyev , Nozimbek |
|---|---|
| Jurnal | Innovation science and technologiy |
| Nashriyot | Тошкент давлат иқтисодиёт университети |
| Nashr sanasi | 2026-01-01 |
| Jild | 2 |
| Son | 1 |
| Til | Ingliz |
| Ilmiy soha | Iqtisodiyot |
| DOI | 10.5281/zenodo.19644068 |
| Indeksga qo‘shilgan | 2026-08-26 |
DOI: 10.5281/zenodo.19644068 · Maqolaning asl sahifasi
artificial intelligence, manufacturing efficiency, Industry 4.0, predictive maintenance, economic optimisation, machine learning, smart production
| APA | Rikhsiboyev , Nozimbek (2026). DIRECTIONS FOR USING ARTIFICIAL INTELLIGENCE TO ENHANCE ECONOMIC EFFICIENCY OF MANUFACTURING PROCESSES. Innovation science and technologiy, 2(1). https://doi.org/10.5281/zenodo.19644068 |
|---|---|
| GOST (OAK) | Rikhsiboyev , Nozimbek DIRECTIONS FOR USING ARTIFICIAL INTELLIGENCE TO ENHANCE ECONOMIC EFFICIENCY OF MANUFACTURING PROCESSES // Innovation science and technologiy. – 2026. – T. 2, № 1. – DOI: 10.5281/zenodo.19644068. |
| MLA | Rikhsiboyev , Nozimbek. “DIRECTIONS FOR USING ARTIFICIAL INTELLIGENCE TO ENHANCE ECONOMIC EFFICIENCY OF MANUFACTURING PROCESSES.” Innovation science and technologiy, 2(1), 2026. https://doi.org/10.5281/zenodo.19644068 |
| Chicago | Rikhsiboyev , Nozimbek. “DIRECTIONS FOR USING ARTIFICIAL INTELLIGENCE TO ENHANCE ECONOMIC EFFICIENCY OF MANUFACTURING PROCESSES.” Innovation science and technologiy, 2(1) (2026). https://doi.org/10.5281/zenodo.19644068 |
| Harvard | Rikhsiboyev , Nozimbek (2026) ‘DIRECTIONS FOR USING ARTIFICIAL INTELLIGENCE TO ENHANCE ECONOMIC EFFICIENCY OF MANUFACTURING PROCESSES’, Innovation science and technologiy, 2(1). https://doi.org/10.5281/zenodo.19644068 |
| BibTeX | @article{rikhsiboyevnozimbek2026,
title = {DIRECTIONS FOR USING ARTIFICIAL INTELLIGENCE TO ENHANCE ECONOMIC EFFICIENCY OF MANUFACTURING PROCESSES},
author = {Rikhsiboyev , Nozimbek},
journal = {Innovation science and technologiy},
year = {2026},
volume = {2},
number = {1},
doi = {10.5281/zenodo.19644068},
url = {https://doi.org/10.5281/zenodo.19644068}
} |
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