Abstract
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 language | English |
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Title of host publication | Proceedings of the 2nd Annual SMACC Research Seminar 2017 |
Publisher | Tampere University of Technology |
Pages | 37-40 |
ISBN (Print) | 978-952-15-4040-0 |
Publication status | Published - 2017 |
MoE publication type | A4 Article in a conference publication |
Event | 2nd Annual SMACC Research Seminar 2017 - Tampere, Finland Duration: 7 Nov 2017 → 7 Nov 2017 Conference number: 2 http://smacc.fi |
Seminar
Seminar | 2nd Annual SMACC Research Seminar 2017 |
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Country/Territory | Finland |
City | Tampere |
Period | 7/11/17 → 7/11/17 |
Internet address |
Keywords
- 3D printing
- additive manufacturing
- aftersales supply chain
- digital spare parts