The transition towards circular and sustainable economic models (s.c. Circular Economy), requires the commitment of all the actors involved, at technological, social and political level. Although this paradigm is being established at the global level, the actions that characterize it often have local scale and impacts. To ensure that this transition process takes place in a balanced and measurable way, it is necessary to identify useful approaches and tools to define models for the implementation of potential solutions in different contexts, which may differ from a geographic, socio-economic, technological and product-related point of view. This article, through the description of the MAX-SHEEP research project, presents and discusses the results of an overview and systematization of the main tools potentially supporting the development of the different phases of an eco-industrial model of sheep supply chains.
Analysing and modelling circular scenarios in local supply chains: approaches and tools within the “Max-Sheep” project
Taddeo R.
Primo
;Casolani V.;Simboli A.;Raggi A.;Tascione V.;
2025-01-01
Abstract
The transition towards circular and sustainable economic models (s.c. Circular Economy), requires the commitment of all the actors involved, at technological, social and political level. Although this paradigm is being established at the global level, the actions that characterize it often have local scale and impacts. To ensure that this transition process takes place in a balanced and measurable way, it is necessary to identify useful approaches and tools to define models for the implementation of potential solutions in different contexts, which may differ from a geographic, socio-economic, technological and product-related point of view. This article, through the description of the MAX-SHEEP research project, presents and discusses the results of an overview and systematization of the main tools potentially supporting the development of the different phases of an eco-industrial model of sheep supply chains.| File | Dimensione | Formato | |
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SUN 2024_ Taddeo et al.pdf
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