IMPROVEMENT OF THE DECISION-MAKING SYSTEM FOR THE PROCUREMENT OF HIGH-TECH MANUFACTURING EQUIPMENT BASED ON THE TOTAL COST OF OWNERSHIP CONCEPT, MULTI-CRITERIA ANALYSIS, AND DIGITAL PROCUREMENT DECISION SUPPORT TECHNOLOGIES
- Authors
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Dildora Shukhratovna Mirdjalilova
Professor, Doctor of Science (DSc) Tashkent University of Architecture and Construction
Author
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Dadamukhamedov Abduvakhob Abduvakhidovich
Independent Researcher, Tashkent, Uzbekistan
Author
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- Keywords:
- Procurement decision-making, high-tech equipment, Total Cost of Ownership (TCO), multi-criteria decision analysis, AHP, TOPSIS, digital procurement, decision support system, Procurement 4.0, life-cycle costing.
- Abstract
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The procurement of high-tech manufacturing equipment is a capital-intensive and largely irreversible decision whose consequences unfold over the entire equipment life cycle. In practice, however, such decisions are frequently driven by the acquisition price alone, which systematically underestimates downstream operating, maintenance and downtime costs and leads to sub-optimal investments. This article proposes an improved procurement decision-making system that integrates three complementary components: the Total Cost of Ownership (TCO) concept, which internalises life-cycle costs; multi-criteria decision analysis (MCDA), which reconciles conflicting cost and performance criteria through an AHP–TOPSIS model; and digital procurement decision-support technologies, which operationalise the model on real, continuously updated enterprise data. The framework is validated on a metal-cutting machine selection case. The results reveal a systematic ranking reversal: the alternative with the lowest purchase price turns out to have the highest life-cycle cost and ranks last in the integrated evaluation, whereas the option combining superior productivity, precision and reliability becomes the preferred choice. Sensitivity analysis confirms the stability of the outcome. The proposed system reduces subjectivity, exposes hidden costs before contracting, and increases the strategic soundness of equipment procurement.
- References
-
1.Ellram L.M. Total cost of ownership: an analysis approach for purchasing // International Journal of Physical Distribution & Logistics Management. - 1995. - Vol. 25, No. 8. - P. 4–23.
2.Ferrin B.G., Plank R.E. Total cost of ownership models: an exploratory study // Journal of Supply Chain Management. - 2002. - Vol. 38, No. 3. - P. 18–29.
3.Saaty T.L. The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. - New York: McGraw-Hill, 1980. - 287 p.
4.Hwang C.L., Yoon K. Multiple Attribute Decision Making: Methods and Applications. - Berlin: Springer-Verlag, 1981. - 259 p.
5.Opricovic S., Tzeng G.H. Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS // European Journal of Operational Research. - 2004. - Vol. 156, No. 2. - P. 445–455.
6.Zavadskas E.K., Turskis Z. Multiple criteria decision making (MCDM) methods in economics: an overview // Technological and Economic Development of Economy. - 2011. - Vol. 17, No. 2. - P. 397–427.
7.Nicoletti B. Agile Procurement, Volume II: Designing and Implementing a Digital Transformation. - Cham: Palgrave Macmillan, 2018. - 320 p.
8.Bienhaus F., Haddud A. Procurement 4.0: factors influencing the digitisation of procurement and supply chains // Business Process Management Journal. - 2018. - Vol. 24, No. 4. - P. 965–984.
9.G'iyosov I. K. THE THEORICAL FEATURES OF THE ORGANIZATION OF THE STRATEGIC MANAGEMENT ACCOUNTING IN BUSINESS //Theoretical & Applied Science. – 2019. – №. 9. – С. 260-266.
10.Karimovich G. I., Ortikbayevich K. I. The Role and Importance of the TIME Factor in Determining the Effectiveness of Investment Management in Construction Enterprises //American Journal of Business Management, Economics, and Banking. – 2023. – Т. 19. – С. 93-99.
11.Karimov I. O. Attracting investment projects to the construction industry and improving their efficiency //Экономика: анализы и прогнозы. – 2021. – №. 2. – С. 127-134.
12.Roy B. The outranking approach and the foundations of ELECTRE methods // Theory and Decision. - 1991. - Vol. 31, No. 1. - P. 49–73.
13.Brans J.P., Vincke Ph. A preference ranking organisation method (the PROMETHEE method) // Management Science. - 1985. - Vol. 31, No. 6. - P. 647–656.
14.Handfield R., Jeong S., Choi T. Emerging procurement technology: data analytics and cognitive analytics // International Journal of Physical Distribution & Logistics Management. - 2019. - Vol. 49, No. 10. - P. 972–1002.
15.Roda I., Macchi M., Fumagalli L. The future of maintenance within Industry 4.0: an empirical research in manufacturing // IFIP Advances in Information and Communication Technology. - 2018. - Vol. 536. - P. 39–46.
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- 2026-06-09
- Issue
- Vol. 2 No. 6 (2026)
- Section
- Articles
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This work is licensed under a Creative Commons Attribution 4.0 International License.
