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

Mairi Kerin; Duc Pham; Jun Huang; Jeremy Hadall

doi:10.1007/s00170-022-09295-w

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

Mairi Kerin, Duc Pham, Jun Huang, Jeremy Hadall

Research output: Contribution to journal › Article › peer-review

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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 language	English
Journal	The International Journal of Advanced Manufacturing Technology
Early online date	6 May 2022
DOIs	https://doi.org/10.1007/s00170-022-09295-w
Publication status	E-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

Access to Document

10.1007/s00170-022-09295-wLicence: Creative Commons: Attribution (CC BY)

kerinm2022genericFinal published version, 2.39 MBLicence: Creative Commons: Attribution (CC BY)

Robotic disassembly technology as a key enabler of autonomous remanufacturing
Castellani, M. (Co-Investigator), Essa, K. (Co-Investigator), Saadat, M. (Co-Investigator) & Pham, D. (Principal Investigator)
Engineering & Physical Science Research Council
1/05/16 → 31/10/21
Project: Research

Cite this

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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.",

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Projects

Robotic disassembly technology as a key enabler of autonomous remanufacturing

Cite this