Citation:
M. Farnsworth, T. Tomiyama, Capturing, classification and concept generation for automated maintenance tasks, CIRP Annals - Manufacturing Technology, Volume 63, Issue 1, 2014, Pages 149-152
Abstract:
Maintenance is an efficient and cost effective way to keep the function of the product available during the product lifecycle. Automating maintenance may drive down costs and improve performance time; however capturing the necessary information required to perform certain maintenance tasks and later building automated platforms to undertake them is very difficult. This paper looks at the creation of a novel methodology tasked with firstly the capture and classification of maintenance tasks and finally conceptual design of platforms for automating maintenance.