Adaptive Modelling for Dynamic Manufacturing Needs

Shuang Li, Joseph Butterfield, Adrian Murphy, Peter Higgins

Research output: Contribution to conferencePaperpeer-review

Abstract

This work is based on research conducted during the first year of a PhD program at Queens University Belfast, the ultimate aim of which is to develop and demonstrate the use of simulation technology to design and quantify the real-time self-adapting production control. In this paper a preliminary methodology is presented addressing the question of how the production system should adapt to external expectations. The method is proposed and justified using two industrial cases based on typical DES applications for the optimisation of production environments. Conclusions to date include the fact that although current simulation practice provides satisfactory outcomes in relation to targeted questions around traditional factory setups, significant potential exists for self-adapting simulation methods which align with flexible / automated systems which are becoming more prevalent in the manufacturing domain.

Original languageEnglish
Pages139-150
Number of pages12
Publication statusPublished - 20 Jun 2018
Event35th International Manufacturing Conference - Dublin Institute of Technology, Dublin, Ireland
Duration: 20 Jun 201820 Jun 2018
Conference number: 35
http://www.manufacturingcouncil.ie/

Conference

Conference35th International Manufacturing Conference
Abbreviated titleIMC35
Country/TerritoryIreland
CityDublin
Period20/06/201820/06/2018
Internet address

Keywords

  • Adaptive Modelling, discrete event simulation

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