| Title |
A Study on Productivity Analysis of Quality Management System in Construction Site |
| Authors |
Choi, Yeongjun ; Oh, Hyunchul ; Baek, Kihyun ; Kim, Seok |
| DOI |
https://dx.doi.org/10.6106/KJCEM.2024.25.3.017 |
| Keywords |
Construction Site; Quality Management System; Productivity Analysis; Monte-Carlo |
| Abstract |
Quality management work at construction sites demands substantial time and effort, involving the preparation of documents in Excel, approval processes, and the execution of quality tests. These Excel-based tasks include printing quality test reports, performing quality tests, generating and approving test reports, and preparing management ledgers. This division of processes extends the duration of work and diminishes efficiency. Accordingly, a cloud-based construction site quality management system was developed to enhance the productivity of quality management work. The purpose of this study is to analyze the productivity of the construction site quality management system, which is in the early stages of implementation at construction sites. This study implemented the construction site quality management system at a road construction site and scrutinized subsequent alterations in the quality management workflow before and after the implementation. Additionally, a survey was conducted among quality control engineers to collect data on work time both before and after the introduction of the construction site quality management system. Based on the collected data, the Monte-Carlo simulation method was applied to analyze the productivity improvement effect of the construction site quality management system, and the results were presented. The results of this study can serve as foundational data for future research endeavors focused on the automation of quality management works. |