There are many tasks within project management. However, the core tasks include target control, schedule target, quality target, cost target, and safety target. On the other hand, the technical elements of engineering management include the core professional knowledge of Engineering Management deliverables, which needs quantitative analysis knowledge in requirements identification, solution development, design, and technical specification control, especially in engineering management projects. The quantitative decision is also called the measurement decision. Project management decision-makers can express the collected engineering information in the form of quantity and can make accurate conclusions for various engineering situations with mathematical methods (Angelou, 1998; Hoon Kwak & Dixon, 2008; J. W., 2018; Labedz & Gray, 2013; Lee, Lapira, Bagheri, & Kao, 2013; Sharon, Weck, & Dori, 2013; Xiong, Zhao, Yuan, & Luo, 2017; Xue, Baron, & Esteban, 2016). The engineering objective of quantitative decision-making requires a certain degree of accuracy, and the optimal engineering management scheme can be obtained through mathematical methods. With the development of technology, the cognition of engineering managers is constantly improving. Thus, the project management method of transforming the non-quantitative form into the quantitative form is also developing. Overall, quantitative decision-making is a significant development trend in scientific engineering decision-making.
Essentially, the quantitative decision-making method can be used to solve problems in the field of engineering management. These problems are solved with mathematical models and formulas to establish and reflect the mathematical model of engineering factors, as well as the relationship between engineering projects (Terweisch, 2002; Almeida & Simões, 2019; Amalnik & Ravasan, 2018; Andersen, 2014; Lichtenthaler, 2020; Marcelino-Sádaba, Pérez-Ezcurdia, Lazcano, & Villanueva, 2014; Xue, Baron, & Esteban, 2017). Quantitative analysis of engineering decision-making can improve the timeliness and accuracy of conventional engineering decision-making. Furthermore, quantitative decision-making can free engineering management to focus on overall major project implementation and strategic decision-making (Stryker, 2008; Arumugam, 2016; Aslani, Akbari, & Tabasi, 2018; Azar, 2012; Badi & Pryke, 2016; Loyd, 2016; Medina & Medina, 2015; Milner, 2016). The advantages and disadvantages of various project implementation schemes can be compared through quantitative decision-making. Each project scheme's success probability and failure risk can be shown through specific data, and the expected project income and cost of different project schemes can be calculated. Also, the potential loss can be calculated, which can be widely used in the decision-making analysis of multi-level quantity, the cost of civil engineering projects, the construction investment, and financing.