dc.contributor.author | Daigle, Lea
(Lea A.) | en_US |
dc.contributor.other | Sloan School of Management. | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Department of Mechanical Engineering. | en_US |
dc.contributor.other | Leaders for Global Operations Program. | en_US |
dc.date.accessioned | 2021-10-08T16:47:51Z | |
dc.date.available | 2021-10-08T16:47:51Z | |
dc.date.copyright | 2020 | en_US |
dc.date.issued | 2020 | en_US |
dc.identifier.uri | https://hdl.handle.net/1721.1/132793 | |
dc.description | Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, May, 2020 | en_US |
dc.description | Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, May, 2020 | en_US |
dc.description | Cataloged from student-submitted PDF of thesis. | en_US |
dc.description | Includes bibliographical references (pages 72-73). | en_US |
dc.description.abstract | Boeing is a ubiquitous name and prominent leader in the aerospace industry, maintaining dominance in part by continuously seeking to improve. Boeing is now embracing a charter to become a Global Industrial Champion in manufacturing by developing strategies to improve manufacturing quality, speed, and cost. As part of this effort Boeing is implementing Full Size Determinant Assembly (FSDA) on a new aircraft, Aircraft ABC. This document focuses specifically on Assembly A, a primary assembly in Aircraft ABC. FSDA is a process in which all piece part holes are drilled precisely and accurately upon manufacture and later assembled with no match-drilling necessary on the assembly line. This promises to significantly reduce cycle time while simultaneously improving assembly quality and speed. Accurate tolerance decisions for piece part hole diameters, hole positions, and hole patterns are imperative for FSDA success on Assembly A. As Assembly A is in the early design stages, no measurement data exists to aid in determining which tolerances will yield a successful assembly. To supplement this data gap, measurement and pass/fail data from other aircraft were used to simulate Assembly A pass/fail rates using Close Ream, Class 1, and Class 2A tolerance quality tiers. Results from this analysis indicate probable Assembly A FSDA success using Class 1 quality hole tolerances for non-complex parts and Class 2A hole tolerances for complex parts. It is also imperative to restructure Assembly A organizational architecture to accommodate the radical innovation required to implement FSDA. The existing organizational model invites many improvement opportunities in communication, collaboration, and shortened learning cycles. A high velocity learning approach is used to examine the current organizational structure and offer adaptation strategies. It is recommended that the current Agile team structure be adapted to include more diverse job functions and to include other Boeing aircraft organizations as well as strategic suppliers as partners. It is additionally recommended that a larger emphasis be placed on data distribution across business units. The implementation of these organizational changes and the aforementioned engineering strategies will vastly improve the efficiency of FSDA implementation in Assembly A. | en_US |
dc.description.statementofresponsibility | by Lea Daigle. | en_US |
dc.format.extent | 73 pages | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. | en_US |
dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
dc.subject | Sloan School of Management. | en_US |
dc.subject | Mechanical Engineering. | en_US |
dc.subject | Leaders for Global Operations Program. | en_US |
dc.title | Organizational architecture design and assessment of statistical feasibility for FSDA implementation in an airplane subassembly | en_US |
dc.type | Thesis | en_US |
dc.description.degree | M.B.A. | en_US |
dc.description.degree | S.M. | en_US |
dc.contributor.department | Sloan School of Management | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | en_US |
dc.contributor.department | Leaders for Global Operations Program at MIT | en_US |
dc.identifier.oclc | 1241968972 | en_US |
dc.description.collection | M.B.A. Massachusetts Institute of Technology, Sloan School of Management | en_US |
dc.description.collection | S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering | en_US |
dspace.imported | 2021-10-08T16:47:51Z | en_US |
mit.thesis.degree | Master | en_US |
mit.thesis.department | Sloan | en_US |
mit.thesis.department | MechE | en_US |