Internet of things for flexible manufacturing systems' diagnosis

Abstract

This paper deals with an actual topic concerning the diagnosis of Internet of Things (IoT) controlled flexible manufacturing systems (FMS). We focus on models realized with Markov chains of FMS with stochastic and not equal throughput rates. Discrete-event models assume that FMS is decomposed, and we study the following events: an Internet server fails, an Internet server is repaired, an Internet server memory buffer fills up, an Internet server memory buffer empties. The IoT diagnosis is performed with by calculating the time to absorption in Markov model of the IoT controlled FMS. Future development of IoT diagnosis of FMS are also discussed in this work.