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.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Purpose - The purpose of this paper is to study the behaviour of a food supply chain possessing two originalities, i.e. a singular structure (40-day upstream push and 24-hour downstream pull) and one that suffers from simultaneous fluctuations in raw material supply capacities (due to epizooty) and customer demand (due to customer anxieties and fears) caused by a sanitary crisis. Design/methodology/approach - A simulation model based on the system dynamics principles of Forrester is developed and applied to the French chicken meat supply chain suffering an Avian Influenza crisis. Findings - This model first enables one us to study the regulation mechanisms of the chain that will improve understanding of the supply chain behaviour under environmental perturbations. A what-if analysis is then implemented to examine the supply chain stability and the influence of flexibility adjustment times, inventory coverage time, slaughtered chicken buffer size and smoothing policies on the supply chain performance in different crisis fluctuation rate scenarios in order to propose necessary logistic policy enhancements. Research limitations/implications - This work will improve one's knowledge about the buffer inventory problem and the global stability of this multi-echelon push-pull supply chain. Practical implications - The model can be used as a decision system support which aims to minimise the additional costs due to stock level increases as demand decreases as well as exceptional external purchasing sparked by the lack of available products when there is a sudden hike in demand. The research can help decision-makers of fresh food push-pull supply chains when they are facing such crises by using both cybernetic representation and computer simulation. Originality/value - This study deals with a specific food supply chain within the context of a sanitary crisis. A system dynamics model is presented for studying the behaviour of the entire food supply chain threatened by high uncertainties in the supply capacity as well as in customer demand.
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