Evidence map›Paper›PMID 40346274›Full record

ArticleScientific reports2025

Modelling and evaluating wood supply chain resilience factors based on system dynamics.

Chenglin Ma, Lin Zhang, Xurui Gao, Changjiang Liu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chenglin MaCollege of Civil Engineering and Transportation, Northeast Forestry University, Harbin, 150040, China. machenglin@nefu.edu.cn.
Lin ZhangCollege of Civil Engineering and Transportation, Northeast Forestry University, Harbin, 150040, China. linz0505@163.com.
Xurui GaoCollege of Civil Engineering and Transportation, Northeast Forestry University, Harbin, 150040, China.
Changjiang LiuCollege of Civil Engineering and Transportation, Northeast Forestry University, Harbin, 150040, China.

Funding

the Heilongjiang Provincial Natural Science Fund LH2023G002the National Natural Science Foundation of China 62176050the Special Funds for Basic Research Operating Costs of Central Universities 2572022BL02
6 · The paper itself

Abstract

With global ecological problems and uncertainties in the international economy, the resilience of the wood supply chain is becoming important for the sustainable development of the wood industry. Heilongjiang Province is a key region for wood production and consumption in China. However, it faces many internal and external challenges in its wood supply chain. This paper uses a system dynamics method to build a wood supply chain model for Heilongjiang Province with Anylogic. It includes resilience factors from infrastructure, economic, and ecological perspectives. The goal is to find the system's dynamics and how different factors influence and interact with each other. The results show that relying on overseas raw materials makes supply chain management more difficult. Logistics information platforms are essential for better coordination. The manufacturing sector does not respond well, so improving manufacturing efficiency is necessary to increase the system's efficiency. The sales sector is affected by changes in market demand. Balancing the consumption of domestic and international customer groups can help stabilize production and sales. This study explains the current situation of the wood supply chain in Heilongjiang Province. It provides a theoretical basis for regional wood supply chain management and offers useful insights for improving supply chain resilience in other similar regions.

Indexed as

Production and sales analysisSupply chain resilienceSystem dynamicsWood processing industry

Identifiers

PMID40346274
PMCPMC12064664

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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.