%0 Conference Proceedings
%T Consistent Maintenance Order Processing with Digital Assistance Systems
%+ Hamburg University of Technology (TUHH)
%A Rost, Robert
%A Friedewald, Axel
%Z Part 2: Digital Transformation Approaches in Production Management
%< avec comité de lecture
%@ 978-3-030-85905-3
%( IFIP Advances in Information and Communication Technology
%B IFIP International Conference on Advances in Production Management Systems (APMS)
%C Nantes, France
%Y Alexandre Dolgui
%Y Alain Bernard
%Y David Lemoine
%Y Gregor von Cieminski
%Y David Romero
%I Springer International Publishing
%3 Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems
%V AICT-632
%N Part III
%P 102-111
%8 2021-09-05
%D 2021
%R 10.1007/978-3-030-85906-0_12
%K Augmented reality;Digital assistance systems;Maintenance
%Z Computer Science [cs]Conference papers
%X Augmented reality-based digital assistance systems have proven their potential to support with instructions considering numerous application scenarios in the product life cycle. For the maintenance of machines and plants, however, their use becomes particularly efficient if the diagnosis at the operator’s site can be effectively supported, so that the service provider and his experts can make accurate diagnoses for this maintenance job, plan the execution including the spare parts logistics precisely, and document as well as billing the maintenance case with low effort. For this purpose, a modular digital assistance system is presented that provides support adapted to the process phases.
%G English
%Z TC 5
%Z WG 5.7
%2 https://inria.hal.science/hal-04022116/document
%2 https://inria.hal.science/hal-04022116/file/520759_1_En_12_Chapter.pdf
%L hal-04022116
%U https://inria.hal.science/hal-04022116
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-APMS
%~ IFIP-WG5-7
%~ IFIP-AICT-632