parameter optimization

Parameter Optimization for a Brine Injector

Parameter Optimization for a Brine Injector

Development of an AI pipeline using an example from the meat industry
Tim Zeiser ORCID Icon, Theo Lutz ORCID Icon, Corinna Köters ORCID Icon, Maik Schürmeyer, Alexander Prange ORCID Icon
The production of cooked ham involves a number of challenges. In production, cuts of meat are put through in a multi-stage curing and cooking process involving brine. This can lead to fluctuations in quality due to structural defects in the meat. The result: the brine is not optimally absorbed. An AI model trained on historical data intends to solve the problem.
Industry 4.0 Science | Volume 40 | 2024 | Edition 6 | Pages 40-46
Demand Planning Falcon

Demand Planning Falcon

Precise stochastic demand calculation with a newly developed digital planning method
Alexander Schmid, Thomas Sobottka, Samuel Luthe, Wilfried Sihn
Precise stochastic demand calculation is the key to successful material planning, i. e. to always have exactly the right quantity on hand. However, decision-makers are faced with the dilemma of which of the many forecasting methods they should use, adapted to the item properties as much as possible. This paper examines the optimization potential of a self-developed automatically optimizing forecasting approach based on ten common forecasting methods, which are evaluated using two case studies from the capital goods industry.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 47-50 | DOI 10.30844/IM_22-6_47-50