Objective
Knowledge on consumers and markets, technological innovations in ingredients and manufacturing highly define our success in the market. In Foods, first and repeated choices by consumers depend on several factors, which are described by the Quality Function Deployment (QFD) model. In QFD various quality tables represent the complex pathway from consumer values down to the supply chain. Vision is that scientists and product developers should be able to navigate through the information universe, linking information from consumer liking down to product attributes and to processing. To achieve this, information repositories of different worlds should be connected in a federated architecture, filling in bridging relationships by new models. In Home and Personal Care the consumer preference is much more driven by objective factors. Products in HPC tend to become more complex in order to exploit synergies between ingredients. To tackle this complexity research has focused on using modem, high volume appraisal methods comparable to the High Throughput Screening techniques. An example is the FAST formulation tool that was developed in the MSI formulation consortium. Considering the quantity and quality of our experimental data it is important to combine data from different experiments in a search for hidden knowledge, not present in the individual experiments. Data Mining tools like cluster analysis, neural Networks, Kohonen Maps and Generative Topographic Maps are excellent tools to extract such knowledge. Here it must be noted that performance is a balance between criteria such as stain removal and color protection under different conditions as well as price. We therefore use Multi Criteria Decision Making tools to optimize product formulations.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology materials engineering colors
- natural sciences earth and related environmental sciences physical geography cartography
- natural sciences computer and information sciences data science data mining
- natural sciences computer and information sciences artificial intelligence computational intelligence
You need to log in or register to use this function
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Data not available
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
3133 AT VLAARDINGEN
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.