Identifying 3D-printable Spare Parts for a Digitalized Supply Chain

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review


    In OEM's producing capital goods, aftersales services is a major part of the business. Managing spare parts cost-efficiently, while providing high service level for the customers is a challenge. Digital spare parts project (DIVA) studies a digital supply chain, where spare parts are 3D printed on demand close to the end user. This could simultaneously reduce costs and increase service level. The first challenge is how to identify parts suitable for 3D printing from the tens or hundreds of thousands of spare parts that companies manage, as not all are technologically or economically viable to 3D print. In this study, a similar method as developed by Knofius et al. (2016) is used to identify such spare parts in two OEMs producing capital goods. Based on the case studies, it is estimated that up to 20 % of the spare parts could be 3D printable in theory. This is reduced to around 6 % having good technological potential to be 3D printed. Furthermore, around 2 % would also be economically feasible to 3D print today. To improve the accuracy and automate the identification process, more structured spare part data is needed.
    Original languageEnglish
    Title of host publicationProceedings of the 2nd Annual SMACC Research Seminar 2017
    PublisherTampere University of Technology
    ISBN (Print)978-952-15-4040-0
    Publication statusPublished - 2017
    MoE publication typeA4 Article in a conference publication
    Event2nd Annual SMACC Research Seminar 2017 - Tampere, Finland
    Duration: 7 Nov 20177 Nov 2017
    Conference number: 2


    Seminar2nd Annual SMACC Research Seminar 2017
    Internet address


    • 3D printing
    • additive manufacturing
    • aftersales supply chain
    • digital spare parts


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