Massachusetts Institute of Technology
Scheduling and shop floor control in commercial airplane manufacturing
Abstract
dc:description.abstractBoeing is the premier manufacturer of commercial jetliners and a leader in defense and space systems. Competition in commercial aircraft production is increasing and in order to retain their competitive position, Boeing must strive to improve their operations by reducing costs. Boeing factories today still schedule and monitor the shop floor much as they have for the past 100 years. This thesis compares and contrasts several different methods for shop floor control and scheduling including Boeing's barcharts, Toyota production system, critical chain, and dynamic scheduling. Each system is will be analyzed with respect to how it handles variability in labor output required and how that affects which products are typically made under each system. In additional to qualitative comparisons, discrete event simulations comparing the various strategies will be presented. Areas for future simulation study are also discussed. The recommended approach for commercial airplane assembly is critical chain. A suggested implementation plan is presented along with methods to ease acceptance.
Degree
thesis:*- Department dc:contributor.department
- Leaders for Manufacturing Program at MIT
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2005
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Sahney, Vikram Neal
- Advisor dc:contributor.advisor
-
- Jérémie Gallien and Stan Gershwin.
Subjects
dc:subject × 3Rights
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/1721.1/34861
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/34861