Evidence map›Paper›PMID 39075145›Full record

ArticleScientific reports2024

Analyzing resilience influencing factors in the prefabricated building supply chain based on SEM-SD methodology.

Mingchao Lin, Yifei Ren, Chao Feng, Xiaojuan Li

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mingchao LinCollege of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350108, Fujian, China.
Yifei RenCollege of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350108, Fujian, China.
Chao FengCollege of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350108, Fujian, China. fchao1227@fafu.edu.cn.
Xiaojuan LiCollege of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350108, Fujian, China. xiaojuanli@fafu.edu.cn.

Funding

The Ministry of Housing and Construction of China 2021R046
6 · The paper itself

Abstract

The supply chain for prefabricated buildings (PB) currently grapples with pressing challenges. In order to ensure the safe and stable development of the prefabricated building supply chains (PBSC), this study aims to identify the key factors and internal mechanisms affecting the PBSC, and propose a supply chain resilience enhancement mechanism, so as to promote the sustainable development of the PB industry. The study combined a literature review and survey data to identify key resilience factors in PBSC. A Structural Equation Model (SEM) was used to explore the relationships between these factors. System dynamics were applied to create a simulation model, assessing the resilience impact level and conducting sensitivity analysis. The results show that the transportation and procurement processes are the most significant factors influencing supply chain resilience. The external environmental factors wielded a more pronounced impact on the overall evaluation of supply chain resilience than the delivery and use processes, but delivery and use processes are more sensitive. The study uses the Pressure-State-Response (PSR) model to suggest strategies for enhancing supply chain resilience. This study contributes to more sustainable and efficient construction practices by offering an innovative theoretical framework to analyze the factors influencing PBSC resilience and proposing enhancement strategies.

Indexed as

Influencing factorsPrefabricated building supply chainResilienceStructural equation modelSystem dynamics

Identifiers

PMID39075145
PMCPMC11286961

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.