Scaling Metal Additive Manufacturing from R&D to Production
Name
weissbach-reimarw-mba-mgt-2024-thesis.pdf
Description
Thesis PDF
Size
2 MB
Format
Adobe PDF
Checksum (MD5)
e076e4ca074898094e3b52333daee578
Author(s)
Weißbach, Reimar
Advisor(s)
Roemer, Thomas
Hart, John
Date Issued
May 2024
Publisher
Massachusetts Institute of Technology
Abstract
Metal additive manufacturing (AM) has been successfully commercialized, yet widespread adoption has not been achieved so far. This is partly because companies struggle to operate AM factories profitably and efficiently at industrial scale.
This thesis proposes a data strategy to address this challenge and support the rapid growth and successful operation of an additive manufacturing factory – from R&D to production. The central idea is to connect relevant data to the central unit of a build. A build is proposed as one unit of manufacturing in AM. Connecting commercial data, information about geometry, processing, materials, post-processing, and testing to a build allows to gain a system-level understanding while also being able to dive into details where needed.
After implementation, the framework can be used to (i) qualify processes and certify materials, (ii) improve quoting quality and efficiency, (iii) support engineering and R&D, (iv) derive critical operations KPIs such as revenue per build, builds per week, and days per build, which can be used for budgeting and capacity planning as well as business control, (v) make strategic decisions on capital expenses and headcount planning, as well as (iv) ensure traceability of materials and parts. Together, these applications support decision makers as well as commercial and technical staff in their work, both strategic as well as during day-to-day operations.
MIT Department
Sloan School of Management
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