Back to results

Massachusetts Institute of Technology

Additive manufacturing (3 D printing) : challenges and opportunities for large scale adoption

Abstract

dc:description.abstract

3D printing (additive manufacturing) has been around for more than 30 years. A lot of technological progress has been made in that time, most recently with new innovations such as metal 3D printing. Although the technology seems to hold a lot of promise, the rate of adoption has not lived up to the hype. The aim of this thesis is to research what has stopped 3D printing from catching on faster? What factors are hindering large scale adoption for mass production? We apply the "Iterating to Insights" framework to analyze technology limitations, market dynamics, business models and industry structure and to develop strategic insights that are surprising yet compelling. Our end goal was to develop a set of insights that can be used by an investor in a 3D printing company to evaluate whether an application or market being pursued by a potential investment is worthwhile or not.

Degree

thesis:*
Department dc:contributor.department
Sloan School of Management.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Magaya, Tafadzwa A
Advisor dc:contributor.advisor
  • Supesh Jain and Duncan Simester.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/111466
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/111466

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Magaya, Tafadzwa A. Additive manufacturing (3 D printing) : challenges and opportunities for large scale adoption. Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111466