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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/20968

Title: Reliability modelling of automated guided vehicles by fault tree analysis
Authors: Yan, Rundong
Dunnett, Sarah J.
Jackson, Lisa M.
Keywords: Reliability
Fault Tree Analysis
Automated Guided Vehicles
Issue Date: 2016
Publisher: © The Authors. Published by Dagstuhl Publishing
Citation: YAN, R., DUNNETT, S.J. and JACKSON, L.M., 2016. Reliability Modelling of Automated Guided Vehicles by Fault Tree Analysis. IN: Hardy,B., Qazi, A. and Ravizza, S. (eds.) 5th Student Conference on Operational Research (SCOR 2016), Nottingham, 8-10th April.
Series/Report no.: OpenAccess Series in Informatics;
Abstract: 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 and Effects 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, allowing us to identify the critical AGV components and the crucial mission phases of AGVs at the design stage.
Description: This is an Open Access Article. It is published by Dagstuhl Publishing under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/
Sponsor: The work reported in this paper is supported by EPSRC.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/20968
Publisher Link: http://www.scor16.com/
Appears in Collections:Conference Papers and Contributions (Aeronautical and Automotive Engineering)

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