Intelligent processes for controlling yeast propagation
An efficient yeast management is meantime an essential basis for high-quality and simultaneously for cost-effective beer production. In this framework, provision of vital yeast in sufficient quantities at the required point in time is a great challenge for efficient yeast management. Due to dynamic, non-linear and time-varying characteristics as well as upstream and downstream process time mismatches, it is very difficult to achieve this ideal situation in day-to-day operations. This requires a lot of planning in terms of process fine tuning. This contribution provides an insight into possibilities of automated processes of brewers’ yeast propagation based on a fuzzy-based expert system as an integral component of an efficient yeast management system.
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