Harvesting Innovation: Analysis of Decentralized MAPE-K Loops in Cyber-Physical Production Systems

The application of decentralized approaces for Cyber-Physical Production Systems (CPPS) can be a significant step towards improving operational efficiency and adaptability in industrial production processes. This paper discusses the benefits of implementing a decentralized Monitor-Analyze-Plan-Execute and Knowledge (MAPE-K) framework on edge nodes in Cyber-Physical Production Systems (CPPS) for plant production. The study systematically reviews literature to analyze the strengths and limitations of decentralized approaches compared to centralized systems. It is shown that decentralized approaches offer improvements in data processing, lower latency, higher reliability, and bandwidth efficiency. The study demonstrates the importance of decentralized MAPE-K control loops in improving real-time data processing, reducing latency, and improving overall system reliability and bandwidth efficiency in smart farming environments. Furthermore, a decentralized approach offers benefits in terms of scalability, data protection, and resource optimization. However, the potential challenges related to resource constraints and security are also highlighted.