A stochastic end-to-end response time analysis of pipelined M2M-based manufacturing systems

This paper proposes a stochastic end-to-end response time analysis of pipelined manufacturing systems based on machine-to-machine communication, where every control message initiating from the first stage is relayed to the next stages along the pipeline. Through the proposed analysis, we can compute the end-to-end response time distribution of each control message, thus provide predictable performance in terms of end-to-end manufacturing times.