Massachusetts Institute of Technology
Design for manufacturing analysis on the Small Unmanned Ground Vehicle
Abstract
dc:description.abstractiRobot is responsible for delivering the Small Unmanned Ground Vehicle (SUGV) as part of the U.S. Army's Future Combat Systems (FCS) initiative. With increasing external competition and pressures, iRobot must deliver an innovative robot while reducing costs, improving quality, and shortening the product's time to market. Since 100% of iRobot's manufacturing is outsourced, the SUGV manufacturing team must optimize its mechanical design in order to help ensure a smooth handoff between its design team and its contract manufacturer. To achieve this goal, the SUGV manufacturing team utilized a Design for Manufacturability and Assembly (DFMA) analysis to simplify components, reduce assembly steps, and improve processes. This paper describes the benefits of DFMA and the tools and techniques used in conducting this analysis. By studying mechanical assemblies, reviewing design drawings with the engineers, and gathering best practices from other industries, this paper provides recommendations for design changes on the SUGV and organizational strategies that can help improve iRobot's product development process.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Dept. of Mechanical Engineering.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2008
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Yu, Ada (Ada Cheuk Ying)
- Advisor dc:contributor.advisor
-
- Daniel E. Whitney and Roy E. Welsch.
Subjects
dc:subject × 2Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/44849
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/44849