Linking Human and Machine - Towards Consumer - Driven Automated Manufacturing
datasetposted on 10.03.2017 by Samet Isaev, Mohannad Jreissat, Christian Wagner, Harris Makatsoris
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
We established a link between linguistic descriptors describing food preferences and product manufacturing processes. Model-based methodology was employed to translate consumer preferences into product and process specifications. The aim of the research is the large scale personalization of formulated food product manufacture where consumers are also the con-creators of the food products they wish to buy. Fuzzy set modelling was used to capture the preferences and perceptions by different group of people. Then, models were employed to established the links between such product attributes and the actual formulation parameters to make the product.