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Petri Net Modelling for Enhanced IT Asset Recycling Solutions

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



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Christina Latsou
Sarah J. Dunnett
Lisa M. Jackson

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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) https://doi.org/10.4230/OASIcs.SCOR.2016.3

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.

Subject Classification

Keywords
  • Petri Net
  • simulation
  • modelling
  • asset management

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References

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