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dc.contributor.authorFry, Jonathan (Jonathan George)en_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering and Management Program.en_US
dc.contributor.otherSystem Design and Management Program.en_US
dc.date.accessioned2021-10-08T17:10:34Z
dc.date.available2021-10-08T17:10:34Z
dc.date.copyright2021en_US
dc.date.issued2021en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/132886
dc.descriptionThesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, February, 2021en_US
dc.descriptionCataloged from the official version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 179-189).en_US
dc.description.abstractThis thesis is about the design and evolution of large scientific facilities that are used to probe the unknown mysteries of science and create a better future for humanity. These include globally distributed systems for quantum physics, confined fusion and imaging the earliest galaxies that formed after the Big Bang, among others. At the beginning of large scientific project's lifecycle there is often not a clear path to the final use case, a lot of uncertainty with immature technology and budgetary constraints. This thesis aims to gain key insights on how large scale research and development facilities can be optimally designed to take a "long sighted" approach in scientific research. In addition, the research presented has found in looking at a variety of existing, large scale scientific projects and talking with experienced project leaders, tools and techniques that can be leveraged to provide a balanced, system engineering approach to effectively build systems for upgrades and future use cases. Further to the classical system engineering and project management tools, this thesis presents an additional framework, utilizing Technology Roadmapping and Multidisciplinary Design Optimization, MDO, to aid in the foresight and success of large, R&D type projects and their evolution.en_US
dc.description.statementofresponsibilityby Jonathan Fry.en_US
dc.format.extent189 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT 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.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEngineering and Management Program.en_US
dc.subjectSystem Design and Management Program.en_US
dc.titleDesign and evolution of large scientific experimental facilities : strategy and implementationen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Engineering and Managementen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering and Management Programen_US
dc.identifier.oclc1263357347en_US
dc.description.collectionS.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Programen_US
dspace.imported2021-10-08T17:10:34Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentSysDesen_US


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