Suchergebnisse

The dissemination and communication work in the ReValue project had the aim of maximising the impact of the innovative solutions developed in the project by sharing the results with various stakeholders. These stakeholders included the research and academic community, industry, governmental associations and general public. This report summarises all the dissemination and communication activities from the ReValue project. ; publishedVersion

Surimi processing generates rest raw materials (RRM) including viscera, skin, filleting frame, bone and wash water, which potentially could be used in preparation of valuable ingredients like marine proteins and oil, protein hydrolysate, and gelatine for food or feed application. The report gives and overview over regulations for the rest raw materials, and handling and processing to the final products such as protein powders, fish meals, oils etc. The review focuses on the legislations adopted by the EEA, national legislation in Norway and India. Concluding, if the raw material (in this case rest raw material after fish processing) produced in human grade factories are processed under food hygiene legislation, the final product can be used for food application. The requirements for the raw material, handling and processing and final product for human consumption are very similar both in EEA and India and discussed in report. By-product definition is regulated only in EU, for India no specific definitions of by-product categories exit. By-products or RRM can be used for feed application under specific regulations discussed in the report. In India Bureau of Indian Standards issues regulations for quality of animal feed ingredients such as fish meal. ; publishedVersion

System dynamics and agent-based simulation modelling approaches have a potential as tools to evaluate the impact of policy related decision making in food value chains. The context is that a food value chain involves flows of multiple products, financial flows and decision making among the food value chain players. Each decision may be viewed from the level of independent actors, each with their own motivations and agenda, but responding to externalities and to the behaviours of other actors. The focus is to show how simulation modelling can be applied to problems such as fairness and power asymmetries in European food value chains by evaluating the outcome of interventions in terms of relevant operational indicators of interorganisational fairness (e.g., profit distribution, market power, bargaining power). The main concepts of system dynamics and agent-based modelling are introduced and the applicability of a hybrid of these methods to food value chains is justified. This approach is outlined as a research agenda, and it is demonstrated how cognitive maps can help in the initial conceptual model building when implemented for specific food value chains studied in the EU Horizon 2020 VALUMICS project. The French wheat to bread chain has many characteristics of food value chains in general and is applied as an example to formulate a model that can be extended to capture the functioning of European FVCs. This work is to be further progressed in a subsequent stream of research for the other food value chain case studies with different governance modes and market organisation, in particular, farmed salmon to fillet, dairy cows to milk and raw tomato to processed tomato. ; Peer Reviewed

System dynamics and agent-based simulation modelling approaches have a potential as tools to evaluate the impact of policy related decision making in food value chains. The context is that a food value chain involves flows of multiple products, financial flows and decision making among the food value chain players. Each decision may be viewed from the level of independent actors, each with their own motivations and agenda, but responding to externalities and to the behaviours of other actors. The focus is to show how simulation modelling can be applied to problems such as fairness and power asymmetries in European food value chains by evaluating the outcome of interventions in terms of relevant operational indicators of interorganisational fairness (e.g., profit distribution, market power, bargaining power). The main concepts of system dynamics and agent-based modelling are introduced and the applicability of a hybrid of these methods to food value chains is justified. This approach is outlined as a research agenda, and it is demonstrated how cognitive maps can help in the initial conceptual model building when implemented for specific food value chains studied in the EU Horizon 2020 VALUMICS project. The French wheat to bread chain has many characteristics of food value chains in general and is applied as an example to formulate a model that can be extended to capture the functioning of European FVCs. This work is to be further progressed in a subsequent stream of research for the other food value chain case studies with different governance modes and market organisation, in particular, farmed salmon to fillet, dairy cows to milk and raw tomato to processed tomato.