University of Twente Student Theses
Moisture Optimization and Heating Process Automation of Freeze-Dried Coffee Production: A Case Study at Jacobs Douwe Egberts Peet's
Michael, Michael (2023) Moisture Optimization and Heating Process Automation of Freeze-Dried Coffee Production: A Case Study at Jacobs Douwe Egberts Peet's.
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| Abstract: | In the realm of freeze-dried coffee production, moisture plays a pivotal role due to its profound impact on product quality. Maintaining a consistent moisture level is of paramount importance for coffee manufacturers like Jacobs Douwe Egbert Peet's (JDE) to uphold stringent quality standards. However, existing manual procedures exhibit substantial moisture variation between batches and operational inefficiencies for engineers. This research endeavors to create an enhanced automated solution for JDE's freeze-dried coffee production, harmonizing quality and efficiency. It encompasses an extensive exploration of machine learning algorithms, with a focus on the effectiveness of non-linear models such as the XGBoost Regression Model in moisture prediction. Simultaneously, optimization methods are scrutinized for dynamically adjusting temperature settings based on moisture forecasts. Among these, Adaptive Neuro-Fuzzy Inference System (ANFIS) emerges as the prime optimization method, showcasing its prowess in capturing intricate, nonlinear data relationships. Notably, ANFIS reduces the need for extensive manual engineering of linguistic variables and membership functions while maintaining a reasonable level of generalization. The culmination of this study is the successful deployment of the automated solution, resulting in moisture levels that are better aligned with the target, while accomplishing a significant reduction in its standard deviation. |
| Item Type: | Essay (Master) |
| Clients: | Jacobs Douwe Egberts, Utrecht, the Netherlands |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 50 technical science in general, 54 computer science, 58 process technology, 85 business administration, organizational science |
| Programme: | Business Information Technology MSc (60025) |
| Link to this item: | https://purl.utwente.nl/essays/97265 |
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