Simulation and optimisation of an automated handling and transport system for tool management
Typ
Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Program
Production engineering (MPPEN), MSc
Publicerad
2024
Författare
Andric, Anton
Muthyala, Roshan Krishna
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
The aircraft industry plays a crucial role across various sectors, leading to a significant
demand for the manufacturing of essential components. Metal cutting, a
prevalent operation for producing these components, is notably time-consuming and
involves tough materials due to strict requirements, expectations, and standards.
This necessitates a variety of tools and frequent tool changes, both costly and timeconsuming,
making machine availability critical. Various studies and concepts, such
as industrial robots and automated transport solutions, have been explored for automated
tool handling. This study investigates these automated solutions to assess
their impact on production performance and optimize tool management. Utilizing
Discrete Event Simulation (DES) and creating a flexible simulation model, this thesis
provides a foundational and flexible model for further research and investigations.
By observing and experimenting with these automated solutions, the study identified
opportunities to replace the non-value-adding activities and reduce downtime
due to missing tools. The findings offer insights into the necessary steps to realize a
fully automated solution and suggest areas for further research to advance towards
becoming a "Smart Factory." This research aims to position GKN as a pioneer in
automation and efficiency within the aircraft industry, highlighting the potential
benefits of fully automated tool handling solutions in reducing costs and improving
production performance. The study concludes with recommendations for future
research and steps needed to implement these advancements
Beskrivning
Ämne/nyckelord
DES , AGV , Smart Factory , Automation , Tool Management , Collaborative Robot