Cognitive Production Systems: A Mapping Study
It provides a structured overview for researchers and practitioners in industrial automation to tackle specific problems, though it is incremental as a review study.
This mapping study examines the integration of cognitive systems into production plants to address increasing complexity and automation, identifying efficiency gains and effectiveness maximization as key optimizations, but notes persistent issues like generalization difficulties.
Production plants today are becoming more and more complicated through more automation and networking. It is becoming more difficult for humans to participate, due to higher speed and decreasing reaction time of these plants. Tendencies to improve production systems with the help of cognitive systems can be identified. The goal is to save resources and time. This mapping study gives an insight into the domain, categorizes different approaches and estimates their progress. Furthermore, it shows achieved optimizations and persisting problems and barriers. These representations should make it easier in the future to address concrete problems in this research field. Human-Machine Interaction and Knowledge Gaining/Sharing represent the largest categories of the domain. Most often, a gain in efficiency and maximized effectiveness can be achieved as optimization. The most common problem is the missing or only difficult generalization of the presented concepts.