e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.

This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.

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A system dynamics modeling framework for the strategic supply chain management of food chains


The need for holistic modeling efforts that capture the extended supply chain enterprise at a strategic level has been clearly recognized first by industry and recently by academia. Strategic decision-makers need comprehensive models to guide them in efficient decision-making that increases the profitability of the entire chain. The determination of optimal network configuration, inventory management policies, supply contracts, distribution strategies, supply chain integration, outsourcing and procurement strategies, product design, and information technology are prime examples of strategic decision-making that affect the long-term profitability of the entire supply chain. In this work, we adopt the system dynamics methodology as a modeling and analysis tool to tackle strategic issues for food supply chains. We present guidelines for the methodology and present its development for the strategic modeling of single and multi-echelon supply chains. Consequently, we analyze in depth a key issue of strategic supply chain management, that of long-term capacity planning. Specifically, we examine capacity planning policies for a food supply chain with transient flows due to market parameters/constraints. Finally, we demonstrate the applicability of the developed methodology on a multi-echelon network of a major Greek fast food chain. (c) 2004 Elsevier Ltd. All rights reserved.

  • GR
  • Aristotle_Univ_Thessaloniki (GR)
Data keywords
  • information technology
Agriculture keywords
  • supply chain
Data topic
  • modeling
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
  • Aristotle_Univ_Thessaloniki (GR)
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e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.