A structured review and comparative analysis of classical and intelligent APCS methods based on extended criteria such as control accuracy, adaptivity, computational efficiency, sustainability impact, resilience, integrability, explainability, and human-in-the-loop compatibility shows that none of the examined APCS methods is universally optimal.
This chapter addresses works in a connected job shop to acquire data, identify and optimize models, and automate systems and their deployment in the Internet of Production (IoP).
A. K. Rüppel, Muzaffer Ay, Benedikt Biernat et al.· 2 citations
Abstract. The need to achieve sustainable production has become an urgent necessity in the conditions of stricter environmental requirements and the rise in the cost of energy worldwide. The classical proportionalintegralderivative controllers and linear Model Predictive Controllers are conventional model-based control...
Apoorva Verma· Materials Research Proceedin...· 0 citations
As renewable energy becomes the dominant generation resource in modern power systems, system stability and safety pose critical challenges due to increased uncertainty, reduced inertia, and escalating system complexity. Artificial intelligence (AI) provides unprecedented capabilities for real-time control, predictive o...
Hang Shuai, Vincent Wilson, Wei Yao et al.· IEEE Energy Sustainability M...· 0 citations
This systematic review explores the intersection between Multi-Agent Systems and Digital Twins, with a particular focus on predictive maintenance applications in resource-constrained contexts and reveals that, despite significant progress, no existing system offers an integrated embedded-distributed hierarchical soluti...
Korota Arsène Coulibaly, M. Hamlich· arXiv.org· 0 citations
The proof of concept shows how telemetry, data storage, machine learning models, and operator feedback can be combined to support auditable, explainable, and human-contestable industrial decisions, demonstrating the classification accuracy, remaining useful life forecasting capabilities, and enhanced recommendation pre...
Luis Ferreira, E. Gonçalves, G. Putnik et al.· Sustainability· 0 citations
A holistic BESS architecture that integrates AI into construction-informed design, allowing operational insights to influence structural and system configurations is developed, establishing a foundation for smart grid resilience by enabling real-time decision-making, automated control, and adaptive response to grid dis...
H. Shittu, Oghenemaero Oteri, Mujeeb A. Shittu et al.· International Journal of Eng...· 0 citations
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