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.
|Number of pages||12|
|Publication status||Published - 20 Jun 2018|
|Event||35th International Manufacturing Conference - Dublin Institute of Technology, Dublin, Ireland|
Duration: 20 Jun 2018 → 20 Jun 2018
Conference number: 35
|Conference||35th International Manufacturing Conference|
|Period||20/06/2018 → 20/06/2018|
- Adaptive Modelling, discrete event simulation
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A hybrid framework for the design of production systems combining simulation and optimisation methodsAuthor: Li, S., Jul 2022
Student thesis: Doctoral Thesis › Doctor of PhilosophyFile