Queueing, Allocation, and Scheduling in Smart Manufacturing Systems

Описание: Queueing, Allocation, and Scheduling in Smart Manufacturing Systems
https://a.co/d/7oK7GMF
The provided texts offer an extensive overview of the intersection between queueing theory and smart manufacturing systems, particularly within Cyber-Physical Systems (CPS) and Industry 4.0 architectures. The first chapter focuses on how queueing models are fundamental to optimizing complex automated environments, emphasizing the integration of data analytics, AI, reinforcement learning (RL), and advanced sensing for real-time decision-making and improved throughput. The second chapter transitions to practical resource allocation and scheduling strategies, exploring advanced concepts like determining optimal queue length, applying cooperative game theory for cost allocation, and implementing hybrid scheduling policies using techniques like Whittle indices and RL in multi-server and robotic contexts to enhance efficiency and reduce operational costs. Both chapters stress the vital role of these analytical frameworks in modernizing manufacturing through automation and intelligent control.#softwaretheses