HUDUDLARDAGI SANOAT KORXONALARIDA ISHLAB CHIQARISHNI RIVOJLANTIRISHNING IQTISODIY TAHLILI
DOI:
https://doi.org/10.60078/3060-4842-2025-vol2-iss5-pp564-571Annotasiya
Maqolada hududlardagi sanoat korxonlarining ishlab chiqarish qobiliyatini oshirish va yangi infratuzulmalarni joriy etish hozirgi kundagi dolzarb mavzulardan biri ekanligi, sanoat tizimida yangi innovatsiyalarni qo‘llash yordamida erishiladigan natijalar tasnifi, iqtisodiy-matematik modellashtirish tarkibi, iqtisodiy-matematik modellashtirishni amalga oshirishda qo‘llaniladigan algoritmik texnologiyalar, iqtisodiy-statistik usullar va tahlil vositalari tarkibi, matematik modellashtirish va optimallashtirish asosida foydalanish mexanizmini tashkil etish hamda sanoatni rivojlantirishda yangi qaror qabul qilish manbalarini ilmiy asoslash talablari nazariy jihatdan yoritilib berilgan va bu bo‘yicha xulosa va takliflar berilgan
Kalit so‘zlar:
mintaqada sanoat tizimi kompleks yondashuv optimallashtirish iqtisodiy-matematik modellashtirish algoritmik texnologiyalar endogen o‘sish nazariyasi dinamik tizimlar tizimli tahlil operatsion tadqiqot logistik optimallashtirishBibliografik manbalar
Vanessa Z., et al. (2024) Designing Smart Product-Service Systems: The SEEM-Smart Methodology and Its Application in the Electrical Industrial Sector. IFAC PapersOnLine 58-8 318–323.
Gavalda O., et al. (2022) Life Cycle Cost analysis for industrial bioenergy projects: Development of a simulation tool and application to three demand sectors in Africa. Energy Reports Volume 8, November, Pages 2908-2923 / https://doi.org/10.1016/j.egyr.2022.02.016.
Nilsson K. (1990) Optimization method for industrial energy systems. Linkoping Studies in Science and Technology Thesis No. 218, Sweden. – p.-74 / https://www.diva-portal.org/smash/get/diva2:1820538/FULLTEXT01.pdf.
Zanon-Zotin M. et al. (2024) Industrial sector pathways to a well-below 2 ◦C world: A global integrated assessment perspective. Applied Energy, Volume 381, 125173 / https://doi.org/10.1016/j.apenergy.2024.125173.
Roumbanis L. (2024) On the present-future impact of AI technologies on personnel selection and the exponential increase in meta-algorithmic judgments. Futures. Vol 166, / https://doi.org/10.1016/j.futures.2025.103538.
Jedrzeychik M., et al. (2024) Framework for the correct treatment of model input parameters for Bayesian updating problems in nuclear engineering. Annals of Nuclear Energy. Volume 211, 110930.
Lucas D., et al. (2024) A self-started predictor–corrector method for calculating the Lambert W function within the scope of the photovoltaic single diode model. SE. Vol 276, 112681 / https://doi.org/10.1016/j.solener.2024.112681.
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