# Resource-Based Quality Performance Estimation Method for Construction Operations
## 5 Conclusions  
In this study, a methodology for estimating the quantitative quality performance of a construction simulation model was presented. The method presents predicting the quality performance with duration and cost of a specific construction operation when establishing a plan for the production. The benefits of using the developed system can be summarized as follows: first, this study presented a method for simultaneously estimating and evaluating the quality performance of the construction operation with the duration and cost. Second, a procedure for estimating the quantitative quality performance by the resource input at the detailed level was presented. This provides the basis for quantifying various construction performances. Third, the system helps to search for an optimal alternative plan establishing a construction plan that guarantees the maximum quality within a limited duration and cost of construction operations. Therefore, this study is expected to be a useful method for managing these performance indicators by estimating productivity and quality at the detailed level of the construction for academic and practical use.  
The limitations of this study and recommended further researches are as follows: first, in this study, data collection was conducted by interviewing experts to apply the simulation model's input variables. In the future, a method that can collect and analyze various construction field data (e.g., equipment characteristics, operator skills, site layout, management conditions, etc.) and integrate the refined data with the presented method is required. Second, most companies today must produce the highest quality products to remain competitive and meet ever-increasing customer demands. Therefore, focusing on quality management is a prerequisite and key to sustainable economic success for companies [40]. Industry 4.0 technologies (e.g., big data, deep learning, etc.) provide  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multirow{2}{*}{**Diameter**} & \multicolumn{2}{c}{**Productivity (pile/hr)**} & \multicolumn{2}{c}{**Total Cost (5)**} & \multicolumn{1}{c}{**Quality (\%)**} \\ \cline{2-5}  & **Result A** & **Result B** & **Result A** & **Result B** & **Result B** \\ \hline
20.32 cm (8 in) & 2.34 & 2.99 & 572.07 & 1487.10 & \\
25.40 cm (10 in) & 2.16 & 2.77 & 718.07 & 2102.20 & \\
30.48 cm (12 in) & 2.08 & 2.65 & 859.53 & 2878.20 & \\
35.56 cm (14 in) & 1.88 & 2.43 & 1166.06 & 3898.40 & \\
40.64 cm (16 in) & 1.71 & 2.08 & 1658.51 & 5071.95 & \\
45.72 cm (18 in) & 1.56 & 1.90 & 2203.07 & 6430.70 & \\ \hline \hline \end{tabular}
\end{table}
Table 7: Simulation results comparison.  
promising opportunities for quality management [41; 42]. A study that achieves intelligence in the information collection and analysis by applying Industry 4.0 technologies to the quality quantification processes (i.e., data collection, analysis, etc.) suggested in this study is recommended. Third, this study analyzed only the duration, cost, and quality of the construction operations. However, in addition to the above three indicators, various performance indicators such as environment, safety, and risk management can be applied. Diverse researches that help to quantify various construction performance indicators is recommended. Fourth, in this study, only the analysis of the construction operation level was performed. In future studies, research that can improve the efficiency of quality control by integrating several management levels (e.g., project, cooperation level) is recommended.  
Conceptualization, methodology, and software, C.-Y.Y.; validation, Y.-J.P.; formal analysis, data curation and resources, C.-Y.Y. and Y.-J.P.; writing--original draft preparation, C.-Y.Y.; funding acquisition, C.-Y.Y. and Y.-J.P. All authors have read and agreed to the published version of the manuscript. This research was supported by Kyungpook National University Development Project Research Fund, 2018.  
The authors declare no conflict of interest.