scor16_reliability modelling of AGV by the Use of FMECA and FTA.pdf (872.83 kB)
Reliability modelling of automated guided vehicles by the use of failure modes effects and criticality analysis, and fault tree analysis
conference contribution
posted on 2016-11-10, 14:55 authored by Rundong (Derek) Yan, Sarah DunnettSarah Dunnett, Lisa JacksonLisa Jackson© Rundong Yan, Sarah J. Dunnett, and Lisa M. Jackson.Automated Guided Vehicles (AGVs) are being increasingly used for intelligent transportation and distribution of materials in warehouses and auto-production lines. In this paper, a preliminary hazard analysis of an AGV's critical components is conducted by the approach of Failure Modes Effects and Criticality Analysis (FMECA). To implement this research, a particular AGV transport system is modelled as a phased mission. Then, Fault Tree Analysis (FTA) is adopted to model the causes of phase failure, enabling the probability of success in each phase and hence mission success to be determined. Through this research, a promising technical approach is established, which allows the identification of the critical AGV components and crucial mission phases of AGVs at the design stage.
Funding
The work reported in this paper supports the research in the grant by EPSRC - project titled Adaptive Informatics for Intelligent Manufacturing(AI2M).
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
Published in
SCOR 16 OpenAccess Series in InformaticsVolume
50Pages
2.1 - 2.11Citation
YAN, R., DUNNETT, S.J. and JACKSON, L.M., 2016. Reliability modelling of automated guided vehicles by the use of failure modes effects and criticality analysis, and fault tree analysis. IN: Hardy,B., Qazi, A. and Ravizza, S. (eds.) 5th Student Conference on Operational Research (SCOR 2016) pp. 1 -10.Publisher
© The Authors. Published by Schloss Dagstuhl--Leibniz Zentrum fuer InformatikVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/Acceptance date
2016-04-21Publication date
2016Notes
This is an Open Access Article. It is published by Schloss Dagstuhl--Leibniz Zentrum fuer Informatik under the Creative Commons Attribution 3.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/ISBN
9783959770040ISSN
2190-6807Publisher version
Book series
Open Access Series in Informatics;50Language
- en