Informing transport infrastructure investments using TraNSIT: A case study for Australian agriculture and forestry

Higgins, Andrew; McFallan, Stephen; Marinoni, Oswald; McKeown, Adam; Bruce, Caroline; Chilcott, Chris; Pinkard, EA

doi:10.1016/j.compag.2018.09.008

Cited by 8 publications

(2 citation statements)

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“…It revealed significant gaps and connections among themes, finding no direct overlap between Farmers and Model themes indicating that research in GSC often limits farmers' roles to production and demand satisfaction, treating them as nodes rather than central figures in models and themes (Kingwell et al, 2020;Krejci & Beamon, 2015). The study emphasizes the need for more simulation-based methods in supply chain research due to their ability to capture complexity, stakeholder behaviour, and uncertainty, offering adaptability and facilitating scenario analysis (Higgins et al, 2018). Transport and Logistics literature focuses on constraints and modelling, while Agents and Simulation themes explore systems and complexity.…”

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confidence: 94%

Grain supply chain optimisation: A qualitative perspective

2023

MODSIM2023, 25th International Congress on Modelling and Simulation.

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Grain supply chains (GSC) are complex systems with numerous stakeholders, dynamic interactions, and uncertainties, requiring sophisticated modelling and simulation for understanding and predicting decision-making (Behzadi et al., 2018). This abstract presents a systematic literature review using content analysis (using Leximancer) to identify gaps and interconnectedness in GSC research. A Boolean search string (agri* AND supply chain* AND (simulation* OR optimi?ation*)) in all fields (title, keywords, abstracts) published in English since 2000)) was used to obtain 1,681 records from SCOPUS and Web of Science databases, with 75 relevant studies (13 review articles, 7 conference proceedings, 49 Q1, and 6 Q2 articles) selected following PRISMA guidelines. Existing systematic literature reviews (SLRs) were separately examined to avoid duplication. The Leximancer analysis based on machine learning methods for understanding text data through word frequency relations of 62 selected studies revealed six primary themes: Supply Chain, Model, Farmers, Agents, Simulation, and Transport and Logistics.

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confidence: 94%

Grain supply chain optimisation: A qualitative perspective

2023

MODSIM2023, 25th International Congress on Modelling and Simulation.

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“…A complete range of forestry infrastructure is conducive to improving the utilization efficiency of forestry industry information resources [23]. The targeted construction of forestry infrastructure can also reduce logistical costs [24]. A trustworthy valuation of forest biological assets also requires development of the forest infrastructure [25].…”

Section: Introductionmentioning

confidence: 99%

Study on the Classification of Forestry Infrastructure from the Perspective of Supply Based on the Classical Quartering Method

Zhang

et al. 2021

Applied Mathematics and Nonlinear Sciences

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Complete forestry infrastructure is the material basis for the realization of forestry production, ecology, and social functions. In order to clarify the scope of duties of forest infrastructure suppliers, this paper analyzes the characteristics of forestry infrastructure from the perspective of main suppliers, and summarizes forestry infrastructure as a material engineering facility that provides public services for forestry production, forestry economics, and social and ecological functions. The classical quartering method of goods was used to classify forestry infrastructure, which is divided into four categories: private goods, crowded public goods, club goods, and pure public goods.

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