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Documents authored by Dunnett, Sarah J.


Document
Reliability Modelling of Automated Guided Vehicles by the Use of Failure Modes Effects and Criticality Analysis, and Fault Tree Analysis

Authors: Rundong Yan, Sarah J. Dunnett, and Lisa M. Jackson

Published in: OASIcs, Volume 50, 5th Student Conference on Operational Research (SCOR 2016)


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.

Cite as

Rundong Yan, Sarah J. Dunnett, and Lisa M. Jackson. Reliability Modelling of Automated Guided Vehicles by the Use of Failure Modes Effects and Criticality Analysis, and Fault Tree Analysis. In 5th Student Conference on Operational Research (SCOR 2016). Open Access Series in Informatics (OASIcs), Volume 50, pp. 2:1-2:11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)


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@InProceedings{yan_et_al:OASIcs.SCOR.2016.2,
  author =	{Yan, Rundong and Dunnett, Sarah J. and Jackson, Lisa M.},
  title =	{{Reliability Modelling of Automated Guided Vehicles by the Use of Failure Modes Effects and Criticality Analysis, and Fault Tree Analysis}},
  booktitle =	{5th Student Conference on Operational Research (SCOR 2016)},
  pages =	{2:1--2:11},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-004-0},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{50},
  editor =	{Hardy, Bradley and Qazi, Abroon and Ravizza, Stefan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SCOR.2016.2},
  URN =		{urn:nbn:de:0030-drops-65144},
  doi =		{10.4230/OASIcs.SCOR.2016.2},
  annote =	{Keywords: Reliability, Fault Tree Analysis, Automated Guided Vehicles, FMECA}
}
Document
Petri Net Modelling for Enhanced IT Asset Recycling Solutions

Authors: Christina Latsou, Sarah J. Dunnett, and Lisa M. Jackson

Published in: OASIcs, Volume 50, 5th Student Conference on Operational Research (SCOR 2016)


Abstract
From preliminary design through product sustainment to end of life removal, optimal performance through the entire life cycle, is one of the most important design considerations in engineering systems. There are a number of mathematical modelling techniques available to determine the performance of any system, or process design. This paper focuses on the Petri Net technique for the representation and simulation of complex cases with the future aim of automatically generating a model from the system, or process description. If the model can be automatically generated changes can be investigated easily, enabling different designs to be investigated. Within this research, a Petri Net model is developed for a process of recycling IT assets. The model developed here will be used in future work to validate the automation process. This model is simulated and programmed in Matlab. The model enables the simulation of various flow paths through the recycling process, giving an understanding of the current process limiting factors. These can then be used to identify possible ways of improving the efficiency of the recycling process and enhancing the current IT asset management strategy. The future aim of this research is the automatic generation of a system model for complex industrial systems and processes by converting the SysML–based specifications into Petri Nets.

Cite as

Christina Latsou, Sarah J. Dunnett, and Lisa M. Jackson. Petri Net Modelling for Enhanced IT Asset Recycling Solutions. In 5th Student Conference on Operational Research (SCOR 2016). Open Access Series in Informatics (OASIcs), Volume 50, pp. 3:1-3:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)


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@InProceedings{latsou_et_al:OASIcs.SCOR.2016.3,
  author =	{Latsou, Christina and Dunnett, Sarah J. and Jackson, Lisa M.},
  title =	{{Petri Net Modelling for Enhanced IT Asset Recycling Solutions}},
  booktitle =	{5th Student Conference on Operational Research (SCOR 2016)},
  pages =	{3:1--3:10},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-004-0},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{50},
  editor =	{Hardy, Bradley and Qazi, Abroon and Ravizza, Stefan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SCOR.2016.3},
  URN =		{urn:nbn:de:0030-drops-65154},
  doi =		{10.4230/OASIcs.SCOR.2016.3},
  annote =	{Keywords: Petri Net, simulation, modelling, asset management}
}
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