The perceived value of additively manufactured digital spare parts in industry: An empirical investigation

Sergei Chekurov*, Sini Metsä-Kortelainen, Mika Salmi, Irene Roda, Ari Jussila

*Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    114 Citations (Scopus)

    Abstract

    The purpose of this paper is to verify the conceptual benefits of the implementation of additive manufacturing (AM) in spare part supply chains from the point of view of industry. Focus group interviews consisting of five sessions and 46 experts in manufacturing were conducted for this study. The focus group interviews served to identify the issues in the adoption of digital spare parts (DSP) and to expand on the available literature. The benefits found in the reviewed literature were partially verified by the participants but certain limitations, such as the excessive need of post processing, supplier quality parity, and ICT inadequacies, were presented that were absent or not highlighted in literature. The information gathered from the participants made it possible to create a realistic model of a digital spare part distribution network. According to the focus group interviews, digital spare parts could be deployed immediately for a specific type of product in the long tails of company spare part catalogues. However, improvements in AM, company ICT infrastructure, and 3D model file formats need to be achieved for a larger deployment of DSP.
    Original languageEnglish
    Pages (from-to)87-97
    JournalInternational Journal of Production Economics
    Volume205
    DOIs
    Publication statusPublished - 10 Sept 2018
    MoE publication typeA1 Journal article-refereed

    Funding

    The research on which this paper is based was conducted as a part of the Digital Spare Parts (DIVA) project and funded by a consortium of companies and Tekes - the Finnish Funding Agency for Innovation.

    Keywords

    • spare parts
    • Digital manufacturing
    • Additive manufacturing
    • Supply network management
    • Distributed manufacturing
    • 3D printing

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