Reliability modelling of automated guided vehicles by the use of failure modes effects and criticality analysis, and fault tree analysis

Yan, Rundong; Dunnett, Sarah J.; Jackson, Lisa M.

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 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.

Citation

Yan, R., Dunnett, S. J., & Jackson, L. M. (2016, April). Reliability modelling of automated guided vehicles by the use of failure modes effects and criticality analysis, and fault tree analysis. Presented at 5th Student Conference on Operational Research (SCOR 2016), Nottingham, UK

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 5th Student Conference on Operational Research (SCOR 2016)
• Start Date: Apr 8, 2016
• End Date: Apr 10, 2016
• Publication Date: Aug 23, 2016
• Deposit Date: Feb 13, 2025
• Publicly Available Date: Feb 14, 2025
• Journal: OASIcs
• Electronic ISSN: 2190-6807
• Publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
• Peer Reviewed: Peer Reviewed
• Volume: 50
• Pages: 2:1-2:11
• Series Number: 50
• Series ISSN: 2190-6807
• ISBN: 9783959770040
• DOI: https://doi.org/10.4230/OASIcs.SCOR.2016.2
• Keywords: Reliability, Fault Tree Analysis, Automated Guided Vehicles, FMECA
• Public URL: https://nottingham-repository.worktribe.com/output/25392140
• Publisher URL: https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SCOR.2016.2