Accuracy in Digital Twinning; An Exploration Based on Asset Location

Eric Lutters*, Roy Damgrave

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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Digital twins usually aim to develop a correct, encompassing, and well-aligned representation of any reality under consideration. However, digital twins can impossibly mimic actuality exactly; hence, it is essential to identify and find ways to deal with the inaccuracies involved in delineating an object/aspect system in the real world for the different perspectives involved. From a digital twinning approach, it is explored what the notion accuracy entails in asset loca(lisa)tion and in the digital models involved. Here, the overarching approach is to re-interpret the role that data and accuracy play—from a pervasive need for (more) detail, to instruments in purposeful decision making. This implies that the focus moves from achievable accuracy to required accuracy, allowing for different means to deal with accuracy and data resolution. An approach based on octrees demonstrates this, to stress that ‘more data is not always better’.

Original languageEnglish
Title of host publicationSmart, Sustainable Manufacturing in an Ever-Changing World
Subtitle of host publicationProceedings of International Conference on Competitive Manufacturing (COMA ’22)
PublisherSpringer Nature
Number of pages12
ISBN (Electronic)978-3-031-15602-1
ISBN (Print)978-3-031-15601-4
Publication statusPublished - 4 Mar 2023
Event8th International Conference on Competitive Manufacturing, COMA 2022 - Wallenberg Centre (Stias), Stellenbosch, South Africa
Duration: 9 Mar 202210 Mar 2022
Conference number: 8

Publication series

NameLecture Notes in Production Engineering
VolumePart F1162
ISSN (Print)2194-0525
ISSN (Electronic)2194-0533


Conference8th International Conference on Competitive Manufacturing, COMA 2022
Abbreviated titleCOMA 2022
Country/TerritorySouth Africa
Internet address


  • Accuracy
  • Asset location
  • Digital twinning
  • Manufacturing environment
  • 2023 OA procedure


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