A generic asset model for implementing product digital twins in smart remanufacturing

Mairi Kerin, Duc Pham, Jun Huang, Jeremy Hadall

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Abstract

A digital twin is a “live” virtual replica of a sensorised component, product, process, human, or system. It accurately copies the entity being modelled by capturing information in real time, or near real time, from the entity, through embedded sensors and the Internet-of-Things. Many applications of digital twins in the manufacturing industry have been investigated. This article focuses on, and contributes to, the development of product digital twins to reduce the impact of quantity, quality, and demand uncertainties in remanufacturing. Starting from issues specific to remanufacturing, the article derives the functional requirements for a product digital twin for remanufacturing and proposes a Unified Modelling Language (UML) model of a generic asset to be remanufactured. The model is used in an example which highlights the need to translate existing knowledge and data into an integrated system to realise a product digital twin, capable of supporting remanufacturing process planning.
Original languageEnglish
JournalThe International Journal of Advanced Manufacturing Technology
Early online date6 May 2022
DOIs
Publication statusE-pub ahead of print - 6 May 2022

Bibliographical note

Funding Information:
This research is supported by the Engineering and Physical Sciences Research Council (EPSRC), grant No. EP/N018524/1. We received financial support from the EPSRC and the Manufacturing Technology Centre (MTC), Coventry, for the associated studentship.

Publisher Copyright:
© 2022, The Author(s).

Keywords

  • Digital twin
  • Industry 4.0
  • Internet of things
  • Smart remanufacturing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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