In modern project management practice, quantitative methods play an important role in providing data support for the decision-making process, helping to improve management mechanisms, and enhancing the efficiency of project operations. This article summarizes various categories of quantitative techniques, covering mathematical modeling, data analysis, Monte Carlo simulation, etc. It analyzes the specific application scenarios of these techniques in project implementation, such as evaluating the impact of project scope changes on progress, financial budgeting and cost monitoring, risk assessment, and the application of performance quantification tools. Through in-depth analysis of specific cases, this paper explores how quantitative technology can improve the efficiency of project management, reduce risks, and enhance the accuracy of management decisions, confirming its universality and superiority in practical operations.

Linwei Wu. The Application of Quantitative Methods in Project Management and Actual Effect Analysis. International Journal of Business Management and Economics and Trade (2025), Vol. 6, Issue 1: 204-212. https://doi.org/10.38007/IJBMET.2025.060121.

[1] Hettiarachchi Biman Darshana,Seuring Stefan,and Brandenburg Marcus. "Industry 4.0-driven operations and supply chains for the circular economy: a bibliometric analysis." Operations Management Research 15.3-4(2022):858-878.

[2] Hansen Lars Kristian,and Svejvig Per. "Principles in Project Portfolio Management: Building Upon What We Know to Prepare for the Future." Project Management Journal 54.6(2023):607-628.

[3] Nemeh Andre,Hasan Rajibul,and Hazir Öncü. "Business school students’ motivations and intentions to pursue a project management career." British Journal of Guidance & Counselling 51.6(2023):963-975.

[4] Kallow Muhammad Asif, et al. "How do risk management practices lead to project success in the construction industry? The mediated moderation of risk coping capacity and risk transparency." International Journal of Construction Management 23.16(2023):2779-2787.

[5] Liao Ruihua, et al. "An Exploratory Study on Two-Dimensional Project Management Maturity Model." Engineering Management Journal 35.4(2023):445-459.

[6] Augner Tabea,and Schermuly Carsten Christoph. "Agile Project Management and Emotional Exhaustion: A Moderated Mediation Process." Project Management Journal 54.5(2023):491-507.

[7] Salwan Prashant, et al. "The interplay of knowledge management, operational and dynamic capabilities in project phases." VINE Journal of Information and Knowledge Management Systems 53.5(2023):923-940.

[8] Cihan Ercan Emin,Uslu Cigdem Alabas,and Kabak Özgür. "Hyper-project portfolio management: post-merger project portfolios." Management Decision 61.8(2023):2280-2301.

[9] Sun, Jiahe. "Research on Sentiment Analysis Based on Multi-source Data Fusion and Pre-trained Model Optimization in Quantitative Finance." (2025).

[10] Chang, Chen-Wei. "Compiling Declarative Privacy Policies into Runtime Enforcement for Cloud and Web Infrastructure." (2025).

[11] F. Liu, "Transformer XL Long Range Dependency Modeling and Dynamic Growth Prediction Algorithm for E-Commerce User Behavior Sequence," 2025 2nd International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS), Hassan, India, 2025, pp. 1-6.

[12] F. Liu, "Architecture and Algorithm Optimization of Realtime User Behavior Analysis System for Ecommerce Based on Distributed Stream Computing," 2025 International Conference on Intelligent Communication Networks and Computational Techniques (ICICNCT), Bidar, India, 2025, pp. 1-8.

[13] J. Huang, "Performance Evaluation Index System and Engineering Best Practice of Production-Level Time Series Machine Learning System," 2025 International Conference on Intelligent Communication Networks and Computational Techniques (ICICNCT), Bidar, India,

[14] Q. Hu, "Research on Dynamic Identification and Prediction Model of Tax Fraud Based on Deep Learning," 2025 2nd International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS), Hassan, India, 2025, pp. 1-6.

[15] Su H, Luo W, Mehdad Y, et al. Llm-friendly knowledge representation for customer support[C]//Proceedings of the 31st International Conference on Computational Linguistics: Industry Track. 2025: 496-504.

[16] Ding, J. (2025). Research On CODP Localization Decision Model Of Automotive Supply Chain Based On Delayed Manufacturing Strategy. arXiv preprint arXiv:2511.05899.

[17] Wu Y. Software Engineering Practice of Microservice Architecture in Full Stack Development: From Architecture Design to Performance Optimization. 2025.

[18] Wu Y. Optimization of Generative AI Intelligent Interaction System Based on Adversarial Attack Defense and Content Controllable Generation. 2025.

[19] Sun J. Quantile Regression Study on the Impact of Investor Sentiment on Financial Credit from the Perspective of Behavioral Finance. 2025.

[20] Wang Y. Application of Data Completion and Full Lifecycle Cost Optimization Integrating Artificial Intelligence in Supply Chain. 2025.