Research on Intelligent Equipment Procurement Strategy and Optimized Resource Allocation Based on Big Data

[1] Paul, P. O., Ogugua, J. O., & Eyo-Udo, N. L. (2024). The role of data analysis and reporting in modern procurement: Enhancing decision-making and supplier management. International Journal of Management & Entrepreneurship Research, 6(7), 2139-2152. Search in Google Scholar

[2] Adebayo, V. I., Paul, P. O., & Eyo-Udo, N. L. (2024). The role of data analysis and reporting in modern procurement: Enhancing decision-making and supplier management. GSC Advanced Research and Reviews, 20(1), 088-097. Search in Google Scholar

[3] Biazzin, C., & Castro-Carvalho, L. (2019). Big data in procurement: the role of people behavior and organization alignment. Dimension Empresarial, 17(4), 10-28. Search in Google Scholar

[4] Khuan, L. S. (2019). The challenges of emerging technologies: the experience of procurement professionals. In 9th International Conference on Operations and Supply Chain Management, Vietnam, Vietnam. Search in Google Scholar

[5] Li, S. T., Chiu, K. C., & Chiu, T. H. (2020, December). An application on building information model to procurement strategy of copper raw material with big data analytics. In 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 696-700). IEEE. Search in Google Scholar

[6] Bifulco, I., Cirillo, S., Esposito, C., Guadagni, R., & Polese, G. (2021). An intelligent system for focused crawling from Big Data sources. Expert Systems with Applications, 184, 115560. Search in Google Scholar

[7] Kim, K. H., Son, S. H., & Kim, S. K. (2019). A basic study of construction procurement management using block chain & big data technology. In Proceedings of the Korean Institute of Building Construction Conference (pp. 127-128). The Korean Institute of Building Construction. Search in Google Scholar

[8] Nguyen, T., Li, Z. H. O. U., Spiegler, V., Ieromonachou, P., & Lin, Y. (2018). Big data analytics in supply chain management: A state-of-the-art literature review. Computers & operations research, 98, 254-264. Search in Google Scholar

[9] Bienhaus, F., & Haddud, A. (2018). Procurement 4.0: factors influencing the digitisation of procurement and supply chains. Business Process Management Journal, 24(4), 965-984. Search in Google Scholar

[10] Cocciolo, S., Samaddar, S., & Fazekas, M. (2023). Government analytics using procurement data. The Government Analytics Handbook: Leveraging Data to Strengthen Public Administration. Search in Google Scholar

[11] Kakuste, N. (2023, July). Exploring New Technologies in Procurement. In The 3rd Advanced Manufacturing Student Conference (AMSC23) Chemnitz, Germany 13-14 July 2023 (Vol. 13, p. 233). Search in Google Scholar

[12] Gholizadeh, H., Fazlollahtabar, H., & Khalilzadeh, M. (2020). A robust fuzzy stochastic programming for sustainable procurement and logistics under hybrid uncertainty using big data. Journal of cleaner production, 258, 120640. Search in Google Scholar

[13] Gu, V. C., Zhou, B., Cao, Q., & Adams, J. (2021). Exploring the relationship between supplier development, big data analytics capability, and firm performance. Annals of Operations Research, 302, 151-172. Search in Google Scholar

[14] AlNuaimi, B. K., Khan, M., & Ajmal, M. M. (2021). The role of big data analytics capabilities in greening e-procurement: A higher order PLS-SEM analysis. Technological Forecasting and Social Change, 169, 120808. Search in Google Scholar

[15] Mandl, C., & Minner, S. (2023). Data-driven optimization for commodity procurement under price uncertainty. Manufacturing & Service Operations Management, 25(2), 371-390. Search in Google Scholar

[16] Kaur, H., & Singh, S. P. (2018). Heuristic modeling for sustainable procurement and logistics in a supply chain using big data. Computers & Operations Research, 98, 301-321. Search in Google Scholar

[17] Zeisel, S. (2020). A framework and use cases for big data in procurement. International Journal of Procurement Management, 13(6), 775-793. Search in Google Scholar

[18] Handfield, R., Jeong, S., & Choi, T. (2019). Emerging procurement technology: data analytics and cognitive analytics. International journal of physical distribution & logistics management, 49(10), 972-1002. Search in Google Scholar

[19] Hallikas, J., Immonen, M., & Brax, S. (2021). Digitalizing procurement: the impact of data analytics on supply chain performance. Supply Chain Management: An International Journal, 26(5), 629-646. Search in Google Scholar

[20] Moretto, A., Ronchi, S., & Patrucco, A. S. (2017). Increasing the effectiveness of procurement decisions: The value of big data in the procurement process. International Journal of RF Technologies, 8(3), 79-103. Search in Google Scholar

[21] Choi, Y., Lee, H., & Irani, Z. (2018). Big data-driven fuzzy cognitive map for prioritising IT service procurement in the public sector. Annals of Operations Research, 270(1), 75-104. Search in Google Scholar

[22] Kuo, T. C., Peng, C. Y., & Kuo, C. J. (2024). Smart support system of material procurement for waste reduction based on big data and predictive analytics. International Journal of Logistics Research and Applications, 27(2), 243-260. Search in Google Scholar

[23] Wangchuk, P., Jie, F., & Wangdi, K. (2024). Big data analytics in the procurement process: organizational alignment and the behavior of procurement professionals in bhutanese procuring agencies. Journal of Data, Information and Management, 6(1), 15-27. Search in Google Scholar

[24] Lamba, K., & Singh, S. P. (2017). Big data in operations and supply chain management: current trends and future perspectives. Production Planning & Control, 28(11-12), 877-890. Search in Google Scholar

[25] Tongwen, Y., & Yi, H. (2023). A study of university procurement performance based on big data on government procurement. Academic Journal of Business & Management, 5(4), 77-86. Search in Google Scholar

[26] Nicoletti, B., & Nicoletti, B. (2018). The future: procurement 4.0. Agile Procurement: Volume II: Designing and Implementing a Digital Transformation, 189-230. Search in Google Scholar

[27] Klunder, T., Dörseln, J. N., & Steven, M. (2019). Procurement 4.0: How the digital disruption supports cost-reduction in Procurement. Production, 29, e20180104. Search in Google Scholar

[28] T. Gopi,P. Sairam Goud,K. Abhishek,N. Sateesh,R. Karthikeyan,Anshuman Kumar & B. CH. Nookaraju. (2024). A hybrid multi-optimization of cutting rate and surface roughness using PCA-based improved-GWO in precise CNC turning of AA2014. International Journal on Interactive Design and Manufacturing (IJIDeM) (prepubulish),1-9. Search in Google Scholar

[29] Qiao Bing,Chen Wanxin,Feng Yifei,Qin Hao & Wu Wenjia. (2024). Optimal Scheduling of K-M-N GEO On-Orbit Service Network Based on Hybrid Simulated Annealing Algorithm. Journal of Aerospace Engineering(6), Search in Google Scholar

[30] Yangyang Shen,Jing Wu,Minfu Ma,Xiaofeng Du,Hao Wu,Xianlong Fei & Datian Niu. (2024). Improved differential evolution algorithm based on cooperative multi-population. Engineering Applications of Artificial Intelligence(PD),108149-. Search in Google Scholar