Improving the construction accuracy of precast components in prefabricated buildings by analyzing relevant factors from the perspective of supply chain: a system dynamics model

预制混凝土 模板 预制 质量(理念) 背景(考古学) 工程类 建筑工程 透视图(图形) 建筑业 供应链 计算机科学 风险分析(工程) 土木工程 人工智能 业务 古生物学 哲学 认识论 营销 生物
作者
Zhenmin Yuan,Haina Wang,Yang Yue,Yi Chen,Daren Huang,Dehu Yu
出处
期刊:Architectural Engineering and Design Management [Informa]
卷期号:20 (2): 230-248
标识
DOI:10.1080/17452007.2023.2286303
摘要

The construction accuracy of precast components in prefabricated buildings has received sufficient attention in the context of the high-quality development of the construction industry. However, various unknown factors in the production, transportation, and installation stages lead to significant deviations in construction, and have not been systematically identified and dynamically analyzed in previous studies. This study aims to improve the construction accuracy of precast components by unlocking the causal relationships among these factors and revealing top-sensitive factors among them. Thus, based on the theory of system dynamics (SD), an SD model is established from the perspective of a supply chain consisting of the production, transportation, and installation stages. The 14 factors and their causal relationships involved in the SD model are identified through literature review and expert consultation methods. The sensitivity analysis method based on dynamic simulation is adopted to analyze the data output from the SD model. Finally, a real prefabricated building project is used for demonstrating and validating this SD model. The significant findings indicate that the installation stage is the most critical stage affecting the construction accuracy of precast components, and the precision of cast-in-situ structure is the most sensitive factor. The formwork system of cast-in-situ structure and construction personnel quality are the root causes of the precision of cast-in-situ structure. The suggestions corresponding to these findings are made. These findings and suggestions can facilitate general contractors in allocating relevant resources to more critical factors for efficiently improving the construction accuracy of precast components.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
27完成签到 ,获得积分10
1秒前
小马嘻嘻发布了新的文献求助10
1秒前
文艺的听白完成签到,获得积分10
1秒前
2秒前
通科研完成签到,获得积分10
2秒前
薛不会完成签到 ,获得积分20
2秒前
bai完成签到,获得积分10
2秒前
玲哥儿发布了新的文献求助10
2秒前
2秒前
2秒前
2秒前
dian发布了新的文献求助10
2秒前
鹿鹿发布了新的文献求助10
2秒前
3秒前
3秒前
gxj完成签到,获得积分10
3秒前
李健应助踏实凡采纳,获得10
4秒前
lihua发布了新的文献求助10
4秒前
团子发布了新的文献求助20
4秒前
一定会毕业完成签到,获得积分20
4秒前
嘎嘎乐完成签到,获得积分10
4秒前
今后应助曦曦呵呵采纳,获得10
5秒前
诚心绿兰完成签到,获得积分10
5秒前
5秒前
5秒前
量子星尘发布了新的文献求助10
5秒前
6秒前
MiaoRui完成签到,获得积分10
6秒前
如意的幼翠完成签到 ,获得积分10
7秒前
蚂蚁发布了新的文献求助10
7秒前
7秒前
7秒前
仁爱听露发布了新的文献求助10
7秒前
内卷没有赢家完成签到,获得积分10
7秒前
zyx发布了新的文献求助10
8秒前
北林发布了新的文献求助10
8秒前
Elcric发布了新的文献求助10
8秒前
hanzhiyuxing发布了新的文献求助10
8秒前
fduqyy完成签到,获得积分10
8秒前
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5718409
求助须知:如何正确求助?哪些是违规求助? 5252448
关于积分的说明 15285701
捐赠科研通 4868645
什么是DOI,文献DOI怎么找? 2614320
邀请新用户注册赠送积分活动 1564168
关于科研通互助平台的介绍 1521611