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Finally, modelling supply is also a challenging task in terms of data requirements.
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In order to model supply security, total energy imports are used (measured in Terajoule, TJ).
So this is a strange model: supply creates demand.
In the Duesenberry model supply adjusts to demand; in the Hicks model demand adjusts to supply.
This uses an abstracted network to model supply chain systems.
In this work, we model supply chain as a multi-agent system where agents are subject to an adjustable autonomy.
Modeling supply chains that achieve economic, social and environmental feasibility through production, process and energy efficiency is a challenge.
This paper models supply chain (SC) uncertainties by fuzzy sets and develops a possibilistic SC configuration model for new products with unreliable or unavailable SC statistical data.
In particular, we show evidence that the two models supply and facilitate different needs of entrepreneurs, in different stages of entrepreneurial life cycle.
This study can be entitled the first research which evaluates the macro-ergonomics analysis and design method trough mathematical model supply chains.
In this paper we model supply networks as multiclass queueing networks and present an approach to robust capacity allocation with respect to perturbations of the production processes.
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