Integrating X-reality and lean into end-of-life aircraft parts disassembly sequence planning: a critical review and research agenda.

End-of-life (EoL) aircraft Industry 4.0 (I4.0) Lean Smart disassembly sequence planning (SDSP) X-reality (XR)

Journal

The International journal, advanced manufacturing technology
ISSN: 0268-3768
Titre abrégé: Int J Adv Manuf Technol
Pays: England
ID NLM: 101533725

Informations de publication

Date de publication:
06 Jun 2023
Historique:
received: 05 02 2023
accepted: 10 05 2023
pubmed: 26 6 2023
medline: 26 6 2023
entrez: 26 6 2023
Statut: aheadofprint

Résumé

In parallel with the fast growth of the second-hand aviation market, the importance of promoting remanufacturing analytics has increased. However, end-of-life (EoL) aircraft parts remanufacturing operations are still underdeveloped. Disassembly, the most challenging and central activity in remanufacturing, directly affects the EoL product recovery's profitability and sustainability. Disassembly sequence planning (DSP) devises ordered and purposeful parting for all potentially recoverable components before physical separations. However, the complexities and uncertainties of the EoL conditions engender unpredictable DSP decision inputs. The EoL DSP needs emergent evidence of cost-effective solutions in view of Industry 4.0 (I4.0) implications and stakeholders' benefits. Among the I4.0 technologies, X-reality (XR) particularly hits the mainstream as a cognitive and visual tool consisting of virtual reality, augmented reality, and mixed reality. Recently, with the advance of I4.0 phenomenon, lean management has been theorized and tested through complementary collaboration. Since the research of integrating lean and XR into the EoL DSP is underexplored in literature, XR and lean are investigated as assistive enablers in the DSP. This study has a two-fold purpose: (1) identifying the key concepts of DSP, I4.0, XR, and lean, and extending the literature by reviewing the previous efforts of EoL aircraft remanufacturing, XR-assisted DSP, and XR-lean applications; (2) proposing "Smart Disassembly Sequence Planning (SDSP)" as a new EoL decision-support agenda after analyzing relational advantages and evolving adaptability. The barriers and limitations are highlighted from the recent associated topics, concrete academic information for developing digitalized disassembly analytics is provided, and new trends are added for future disassembly research.

Identifiants

pubmed: 37360662
doi: 10.1007/s00170-023-11581-0
pii: 11581
pmc: PMC10241605
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1-30

Informations de copyright

© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Déclaration de conflit d'intérêts

Conflict of interestThe authors declare no competing interests.

Auteurs

Yinong Yang (Y)

Department of Mathematics and Industrial Engineering, Polytechnique Montreal, Montreal, QC H3T 1J4 Canada.

Samira Keivanpour (S)

Department of Mathematics and Industrial Engineering, Polytechnique Montreal, Montreal, QC H3T 1J4 Canada.

Daniel Imbeau (D)

Department of Mathematics and Industrial Engineering, Polytechnique Montreal, Montreal, QC H3T 1J4 Canada.

Classifications MeSH