The rapid development of artificial intelligence (AI) technologies has created new opportunities for improving efficiency in the construction industry. Construction projects often face challenges related to inaccurate cost estimation, inefficient resource allocation, delays, and quality control. Intelligent algorithms, including machine learning, deep learning, optimization algorithms, and predictive analytics, provide innovative mechanisms for optimizing construction costs while enhancing the quality and speed of service delivery. This study examines the role of AI-based intelligent algorithms in construction cost optimization, project planning, risk assessment, procurement management, and digital decision-making. The research also explores the integration of Building Information Modeling (BIM), Internet of Things (IoT), and AI technologies to improve operational efficiency throughout the construction lifecycle. The findings indicate that intelligent algorithms significantly reduce project costs, minimize financial risks, improve resource utilization, and support sustainable development in the construction sector. Furthermore, the study proposes practical recommendations for implementing AI-driven service models that increase transparency, productivity, and competitiveness in the construction industry.
| Mualliflar | Qidirniyazov Ajiniyaz Sherniyazovich |
|---|---|
| Jurnal | Ўзбекистон суғурта бозори |
| Nashr sanasi | 2026-05-31 |
| Betlar | 205-208 |
| Til | Ingliz |
Artificial Intelligence, Intelligent Algorithms, Construction Cost Optimization, Machine Learning, Building Information Modeling (BIM), Digital Construction, Predictive Analytics, Construction Services.
Maqolada davlat-xususiy sheriklik loyihalarini moliyalashtirishda konsessiya shartnomalari va maxsus loyiha kompaniyalari (SPV) mexanizmining nazariy hamda amaliy asoslari tadqiq etilgan. Xalqaro tajriba va O‘zbekiston…
Mazkur maqolada hududlar iqtisodiyoti raqobatbardoshligini oshirishda innovatsion ekotizimlarni rivojlantirishning nazariy-metodologik asoslari hamda amaliy mexanizmlari tadqiq etilgan. Shuningdek, davlat…
Mazkur maqolada xoʻjalik yurituvchi subyektlarda moliyaviy hisobot shakllarini tayyorlashning ilmiy-nazariy masalalarini tadqiq etgan olimlarning ilmiy qarashlari, shuningdek farmatsevtika mahsulotlari, jumladan dori…
Ushbu maqolada agrosanoat majmuini raqamli boshqarishning mazmuni, dolzarb muammolari, uning tarkibidagi sohalar faoliyatini takomillashtirish hamda uni samaradorligini oshirish imkoniyatlari kabi masalalar ilmiy…
Maqolada sanoat korxonalarida mahsulot sifatini boshqarish samaradorligini baholashning uslubiy yondashuvlari tahlil qilingan. O‘tkazilgan tahlillar natijasida Jizzax viloyati yetakchi sanoat korxonalari kesimida…
So‘nggi yillarda xalqaro turizmning jadal rivojlanishi, iqlim o‘zgarishi, pandemiyalar, transport tizimidagi uzilishlar, kiberxavfsizlik tahdidlari hamda geosiyosiy beqarorlik turizm sohasidagi risklarning…
Huqumatlar yildan-yilga elektronlashib bormoqda. Deyarli, barcha davlat idoralari jumladan soliq tizimi oʻzlarining rasmiy veb-sayt va avtomatlashtirilgan tizimlariga ega. Raqamlashtirish soliq organlariga elektron…
Under the strategic framework of the "Concept for the Development of the Higher Education System 2030," Uzbekistan's higher education system has undergone rapid expansion over the past decade, with a significant…
Mazkur maqolada O‘zbekiston agrar soha samaradorligini statistic baholashda parametrik Stoxastik chegaraviy tahlil (SFA) usuli qo‘llanilgan. Tadqiqot ishi 2010–2025-yillardagi panel ma’lumotlariga asoslangan bo‘lib…
Ushbu maqolada Toshkent shahar mahallalarining ijtimoiy-iqtisodiy, etnodemografik va hududiy tuzilishi tahlil qilingan. Mahallalarning an’anaviy va yangi kvartal turlarga bo‘linishi, ularning aholi soni, bandlik…