DEVELOPMENT OF A METHODOLOGY FOR DIGITIZING THE INVENTORY OF TANGIBLE TECHNICAL DEVICES IN THE DIGITAL ECONOMY

Authors

  • Izzatilla Pulatov Qudratillayevich Republic of Uzbekistan, Tashkent city, Independent researcher of the Department of "Digital Economy" TSUE

Keywords:

IRC, material and technical resources, cycle management, schedule policy, educational management, schedule management, transparent monitoring, real-time reporting.

Abstract

The article proposes a new IRC (Integrated Concept of Material Resources) model for managing material and technical resources of educational organizations along the entire life cycle (reception → inventory → dispatch → repair → write-off). The model is developed on the basis of tables with deep integration with blockchain technology, providing real-time planning and management of each movement of resources. According to the pilot organization conducted by the IRC in the Tashkent organization, there is no loss and destruction model. This is the first practical experience of blockchain and tabular integration in budget resource management.

References

Zahran, A. L., Jaber, M. Y. A review of inventory reduction research published in the International Journal of Production Economics // International Journal of Production Economics. – 2017. – Vol. 183. – P. 251-269.

Li, H. [et al.]. Impact of road infrastructure investments on firm inventory levels: Evidence from China // Transportation Research Part A: Policy and Practice. – 2013. – Vol. 54. – P. 11-23.

Holloway, S. Impact of Digital Transformation on Inventory Management: Preprints 2024, 2024070714. – 2024.

Re Cecconi, F. [et al.]. A simulation framework for facility management and maintenance based on the digital twin paradigm // Journal of Quality in Maintenance Engineering.

Mandar, E. M. [et al.]. An autonomous inventory replenishment system through real-time visibility and collaboration based on IOT and RFID technology // WSEAS Transactions on Information Science and Applications. – 2024. – Vol. 21. – P. 118-127.

Johnson, K., Kim, J. Reinforcement machine learning algorithm for dynamic inventory solutions // Journal of Operations Management.

Alkhard, A. Digital asset management: enhancing asset management practices using equipment data // Procedia Computer Science. – 2024.

Cox D. R. Regression models and life-tables // Journal of the Royal Statistical Society: Series B. 1972. Vol. 34, No. 2. P. 187–220. (medicine.mcgill.ca)

Gordon L. A., Loeb M. P. The economics of information security investment // ACM Transactions on Information and System Security. 2002. (dl.acm.org)

ISO. ISO/IEC 27001:2022 — Information security management systems — Requirements. Clause 9.1. Official Online Browsing Platform (ISO). 2022. (iso.org)

Yang Z., et al. Prognostic modeling of predictive maintenance with survival analysis // PLOS ONE. 2022. (PMC)

Holmer O., et al. Energy-based survival models for predictive maintenance // IFAC-PapersOnLine. 2023. (ScienceDirect)

APPA. The total cost of ownership (TCO): A principle-based framework. 2016. (APPA)

Panjaitan D. S., et al. Total cost of ownership factors in procurement and supply chain: A review // E3S Web of Conferences. 2024. (E3S Web of Conferences)

Downloads

Published

2025-12-17

How to Cite

Izzatilla Pulatov Qudratillayevich. (2025). DEVELOPMENT OF A METHODOLOGY FOR DIGITIZING THE INVENTORY OF TANGIBLE TECHNICAL DEVICES IN THE DIGITAL ECONOMY. INTERNATIONAL JOURNAL OF SOCIAL SCIENCE & INTERDISCIPLINARY RESEARCH ISSN: 2277-3630 Impact Factor: 8.036, 14(12), 90–97. Retrieved from https://gejournal.net/index.php/IJSSIR/article/view/2798