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KIMYO SANOATI KORXONALARIDA INVESTITSION LOYIHALARNI BOSHQARISH SAMARADORLIGINI OSHIRISHDA RAQAMLI TEXNOLOGIYALARNI JORIY ETISHNING NAZARIY VA AMALIY ASOSLARI

Tashkilotlar
a N/A
b “Moliya” kafedrasi dotsenti iqtisodiyot fanlari nomzodi

Annotatsiya

Ushbu maqolada kimyo sanoati korxonalarida investitsion loyihalarni boshqarishda raqamli texnologiyalarning qoʻllanishi oʻrganilgan. Sunʼiy intellekt, IoT, Digital Twin va Big Data texnologiyalari orqali loyihalarning samaradorligi qanday oshirilgani tahli l qilingan. Texnologiyalar loyiha siklining bosqichlariga muvofiq bogʻlangan va konseptual boshqaruv modeli taklif etilgan. Tahlil natijalari asosida texnologiyalarni kompleks joriy etish orqali ishlab chiqarish sifati va resurslardan foydalanish samarador ligi oshirilishi mumkinligi koʻrsatib berilgan. Tavsiyalar amaliyotda foydalanish imkoniyatlarini kengaytirish maqsadida ishlab chiqilgan.

Kalit so'zlar

investitsion loyiha, kimyo sanoati, raqamli texnologiyalar, boshqaruv, sunʼiy intellekt, IoT, Digital Twin, Big Data


Adabiyotlar ro'yxati

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  2. Wiegand, T., & Wynn, M. (2023). Sustainability, the circular economy and digitalisation in the German textile and clothing industry. Sustainability, 15(11), 9111. https://doi.org/10.3390/su15119111
  3. Gamidullaeva, L., Shmeleva, N., Tolstykh, T., Guseva, T., & Panova, S. (2024). The complex approach to environmental and technological project management to enhance the sustainability of industrial systems. Systems, 12(7), 261. https://doi.org/10.3390/systems12070261
  4. Udugama, I. A., Bayer, C., Baroutian, S., Gernaey, K. V ., Yu, W., & Young, B. R. (2022). Digitalisation in chemical engineering: Industrial needs, academic best practice, and curriculum limitations. Education for Chemical Engineers, 39, 94 –107. https://doi.org/10.1016/j.ece.2022.03.003
  5. Vasilieva, E., Kudryavtseva, T., & Skhvediani, A. (2020). Managing the efficiency of an innovative project in the chemical sector. IOP Conference Series: Materials Science and Engineering, 940, 012046. https://doi.org/10.1088/1757 - 899X/940/1/012046
  6. Khan, F., Amyotte, P., & Adedigba, S. (2021). Process safety concerns in process system digitalization. Education for Chemical Engineers. https://doi.org/10.1016/j.ece.2020.11.002
  7. Machado, C. G., Winroth, M., Almström, P., Öberg, A. E., Kurdve, M., & AlMashalah, S. (2021). Digital organisational readiness: Experiences from manufacturing companies. Journal of Manufacturing Technology Management, 32(9), 167–182. https://doi.org/10.1108/JMTM -05-2019 -0188
  8. Rincon -Guio, C., Hernández -Ramírez, J., Olguín, C. M., Pibaque -Ponce, M. S., Baque -Cantos, M. A., Santistevan -Villacreses, K. L., Cañarte -Quimis, L. T., Hernández -Lugo, P., & Medina, L. (2023). A systematic literature review on advances, trends and challenges in project management and Industry 4.0. LogForum, 19(2), 225 –
  9. https://doi.org/10.17270/J.LOG.2023.844
  10. Wanasinghe, T. R., Wroblewski, L., Petersen, B. K., Gosine, R. G., James, L. A., de Silva, O., Mann, G. K. I., & Warrian, P. J. (2020). Digital twin for the oil and gas industry: Overview, research trends, opportunities, and challenges. IEEE Access, 8, 104175 –104197. https://doi.org/10.1109/ACCESS.2020.2998723
  11. Klei, A., Moder, M., Stockdale, O., Weihe, U., & Winkler, G. (2017). Digital in chemicals: From technology to impact. McKinsey & Company. Retrieved from https://www.mckinsey.com
  12. Kumar, D., Shekhar, S., & Tewary, T. (2025). AI and data analytics for climate data management. Frontiers in Environmental Science, 13, Article 1679608. https://doi.org/10.3389/fenvs.2025.1679608
  13. Fantke, P., Cinquemani, C., Yaseneva, P., De Mello, J., Schwabe, H., Ebeling, B., & Lapkin, A. A. (2021). Transition to sustainable chemistry through digitalization. Chem, 7(11), 2866 –2882. https://doi.org/10.1016/j.chempr.2021.09.012
  14. Dutta, G., Kumar, R., Sindhwani, R., & Singh, R. K. (2021). Digitalization priorities of quality control processes for SMEs: A conceptual study in perspective of Industry 4.0 adoption. Journal of Intelligent Manufacturing, 32, 1679 –1698. https://doi.org/10.1007/s10845 -021-01783 -2

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