Design and evolution of large scientific experimental facilities : strategy and implementation
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, February, 2021 === Cataloged from the official version of thesis. === Includes bibliographical references (pages 179-189). === This thesis is about the design and evolution of lar...
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ndltd-MIT-oai-dspace.mit.edu-1721.1-1328862021-10-10T05:07:30Z Design and evolution of large scientific experimental facilities : strategy and implementation Fry, Jonathan (Jonathan George) Massachusetts Institute of Technology. Engineering and Management Program. System Design and Management Program. Massachusetts Institute of Technology. Engineering and Management Program System Design and Management Program Engineering and Management Program. System Design and Management Program. Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, February, 2021 Cataloged from the official version of thesis. Includes bibliographical references (pages 179-189). This 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. by Jonathan Fry. S.M. in Engineering and Management S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program 2021-10-08T17:10:34Z 2021-10-08T17:10:34Z 2021 2021 Thesis https://hdl.handle.net/1721.1/132886 1263357347 eng 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. http://dspace.mit.edu/handle/1721.1/7582 189 pages application/pdf Massachusetts Institute of Technology |
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Engineering and Management Program. System Design and Management Program. |
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Engineering and Management Program. System Design and Management Program. Fry, Jonathan (Jonathan George) Design and evolution of large scientific experimental facilities : strategy and implementation |
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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, February, 2021 === Cataloged from the official version of thesis. === Includes bibliographical references (pages 179-189). === This 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. === by Jonathan Fry. === S.M. in Engineering and Management === S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program |
author2 |
Massachusetts Institute of Technology. Engineering and Management Program. |
author_facet |
Massachusetts Institute of Technology. Engineering and Management Program. Fry, Jonathan (Jonathan George) |
author |
Fry, Jonathan (Jonathan George) |
author_sort |
Fry, Jonathan (Jonathan George) |
title |
Design and evolution of large scientific experimental facilities : strategy and implementation |
title_short |
Design and evolution of large scientific experimental facilities : strategy and implementation |
title_full |
Design and evolution of large scientific experimental facilities : strategy and implementation |
title_fullStr |
Design and evolution of large scientific experimental facilities : strategy and implementation |
title_full_unstemmed |
Design and evolution of large scientific experimental facilities : strategy and implementation |
title_sort |
design and evolution of large scientific experimental facilities : strategy and implementation |
publisher |
Massachusetts Institute of Technology |
publishDate |
2021 |
url |
https://hdl.handle.net/1721.1/132886 |
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AT fryjonathanjonathangeorge designandevolutionoflargescientificexperimentalfacilitiesstrategyandimplementation |
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1719488466097537024 |