Show simple item record

dc.contributor.advisorOlivier de Weck, and Bradley Morrison.en_US
dc.contributor.authorAsfour, Ammaren_US
dc.contributor.otherLeaders for Global Operations Program.en_US
dc.date.accessioned2015-09-29T18:56:19Z
dc.date.available2015-09-29T18:56:19Z
dc.date.copyright2015en_US
dc.date.issued2015en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/98975
dc.descriptionThesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2015. In conjunction with the Leaders for Global Operations Program at MIT.en_US
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2015. In conjunction with the Leaders for Global Operations Program at MIT.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 52-53).en_US
dc.description.abstractThis project was motivated by the desire to apply quality metrics to the multiple stages of the airplane development process at Boeing Commercial Airplanes. This project first identified integration and process discipline as most critical towards final quality of the engineering work. Integration, defined as the path and connectivity between teams and activities, was studied by analyzing performance of a small engineering support team. To understand the effects of early stage quality on later stages, i.e. process discipline, a system dynamics model was developed focusing on the design and development of components with suppliers. The case study regarding integration focused on the engineering work as a four-steps process: Inputs, Engineering Activities, Output and Customer Review. All unplanned reworked deliverables of a 5-7 members engineering team were analyzed. The study tracked the process step at which the error was first caused. The results found that 21% of unplanned engineering rework was caused due to inadequate delivery of inputs to the requested engineering work. Furthermore, the 21% of unplanned engineering rework had the highest hours per reworked deliverable of any stages. Over all, 75% of engineering rework was due mainly to the process rather than the actual technical engineering work. The system dynamic modeling achieved two main results: showcased the necessity to simplify the process, and the importance of accounting for iterations in engineering. Through the group-modeling discussions with the process owner, it was evident the need to provide clear checkpoints and reviews of the engineering work. Furthermore, discovering engineering rework within a given stage has the same effect as delivering first-pass engineering quality. This project provided a methodology to work with engineering teams to measure their quality performance. Furthermore, it has the potential to show the thresholds of quality from one stage to another in Airplane Development.en_US
dc.description.statementofresponsibilityby Ammar Asfour.en_US
dc.format.extent53 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectSloan School of Management.en_US
dc.subjectAeronautics and Astronautics.en_US
dc.subjectLeaders for Global Operations Program.en_US
dc.titleMeasuring engineering quality in airplane developmenten_US
dc.typeThesisen_US
dc.description.degreeM.B.A.en_US
dc.description.degreeS.M.en_US
dc.contributor.departmentLeaders for Global Operations Program at MITen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronautics
dc.contributor.departmentSloan School of Management
dc.identifier.oclc921150187en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record