Internet of Things for Flexible Manufacturing Systems` Diagnosis

Calin Ciufudean, Corneliu Buzduga

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.

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Paper Citation


in Harvard Style

Ciufudean C. and Buzduga C. (2016). Internet of Things for Flexible Manufacturing Systems` Diagnosis . In Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: MoMa-GreenSys, (SMARTGREENS 2016) ISBN 978-989-758-184-7, pages 468-471. DOI: 10.5220/0005906604680471


in Bibtex Style

@conference{moma-greensys16,
author={Calin Ciufudean and Corneliu Buzduga},
title={Internet of Things for Flexible Manufacturing Systems` Diagnosis},
booktitle={Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: MoMa-GreenSys, (SMARTGREENS 2016)},
year={2016},
pages={468-471},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005906604680471},
isbn={978-989-758-184-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems - Volume 1: MoMa-GreenSys, (SMARTGREENS 2016)
TI - Internet of Things for Flexible Manufacturing Systems` Diagnosis
SN - 978-989-758-184-7
AU - Ciufudean C.
AU - Buzduga C.
PY - 2016
SP - 468
EP - 471
DO - 10.5220/0005906604680471