Selecting spare parts suitable for additive manufacturing: a design science approach

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dc.contributor.authorChaudhuri, Atanu
dc.contributor.authorGerlich, Hasse Andreas
dc.contributor.authorJayaram, Jayanth
dc.contributor.authorGhadge, Abhijeet
dc.contributor.authorShack, Johan
dc.contributor.authorBrix, Benjamin Hvidberg
dc.contributor.authorHoffbeck, Lau Holst
dc.contributor.authorUlriksen, Nikolaj
dc.date.accessioned2020-05-11T15:40:48Z
dc.date.available2020-05-11T15:40:48Z
dc.date.issued2020-04-27
dc.description.abstractAdditive manufacturing (AM) can help to deliver spare parts within short lead times and thus avoid maintaining huge inventories. Companies exploring opportunities to produce spare parts using AM face challenges in identifying suitable spare parts to be produced. Moreover, a single method may not be applicable for all companies and needs to be adapted considering the characteristics of the parts in the portfolio. This study follows a design science approach to addresses an evident research gap by developing a process to identify spare parts suitable for AM. The case data was analyzed using multi-criteria decision-making and cluster analysis techniques. The research contributes by developing and demonstrating a methodology to identify spare parts suitable for AM from a portfolio of a large number of spare parts, where adequate discrimination was not obtained by ranking all parts together. The study develops generic guidelines for spare parts selection for AM and outline the generalizability of the proposed methodology beyond the domain of part selection for AM.en_UK
dc.identifier.citationChaudhuri A, Gerlich H, Jayaram J, et al., (2021) Selecting spare parts suitable for additive manufacturing: a design science approach. Production Planning and Control, Volume 32, Issue 8, 2021, pp. 670-687en_UK
dc.identifier.issn0953-7287
dc.identifier.urihttps://doi.org/10.1080/09537287.2020.1751890
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/15443
dc.language.isoenen_UK
dc.publisherTaylor & Francisen_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDesign scienceen_UK
dc.subjectCluster analysisen_UK
dc.subjectMulti-criteria decision-makingen_UK
dc.subjectSpare parts selectionen_UK
dc.subject3D Printingen_UK
dc.subjectAdditive manufacturingen_UK
dc.titleSelecting spare parts suitable for additive manufacturing: a design science approachen_UK
dc.typeArticleen_UK

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