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Compound Noise - MIT Department of Mechanical Engineering

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398 J. SINGH ET AL.<br />

where X <strong>Compound</strong> is the setting <strong>of</strong> x i terms that minimize the estimated variance. For compound noise to be<br />

completely effective X = X <strong>Compound</strong> .<br />

Authors’ biographies<br />

Jagmeet Singh received a PhD degree from the <strong>Department</strong> <strong>of</strong> <strong>Mechanical</strong> <strong>Engineering</strong> at <strong>MIT</strong>. He received a<br />

SM degree in <strong>Mechanical</strong> <strong>Engineering</strong> from <strong>MIT</strong> in 2003 and a BTech degree in <strong>Mechanical</strong> <strong>Engineering</strong> from<br />

the Indian Institute <strong>of</strong> Technology, Kanpur, India. He worked on this paper as part <strong>of</strong> his research towards his<br />

PhD. His areas <strong>of</strong> expertise include assembly architecture, datum flow chains and noise strategies in large-scale<br />

systems.<br />

Daniel D. Frey is an assistant pr<strong>of</strong>essor <strong>of</strong> the <strong>Mechanical</strong> <strong>Engineering</strong> and <strong>Engineering</strong> Systems Division<br />

at <strong>MIT</strong>. He conducts research on system design methods including robust design, design <strong>of</strong> experiments,<br />

probability, manufacturing and computational geometry. The overarching goal <strong>of</strong> his research is to identify<br />

principles and practices that improve the process <strong>of</strong> engineering design. He teaches a range <strong>of</strong> courses related<br />

to system design. He is member <strong>of</strong> ASME, ASEE, AIAA and ASA.<br />

Nathan Soderborg is a Design for Six Sigma Master Black Belt in the Ford Motor Company’s North American<br />

Product Development organization. He coaches product development teams in mathematical modeling and the<br />

application <strong>of</strong> statistical engineering and robust design methods to improve product quality. He is a member <strong>of</strong><br />

the MAA, senior member <strong>of</strong> ASQ and ASQ Certified Reliability Engineer (CRE) and Six Sigma Black Belt<br />

(CSSBB).<br />

Rajesh Jugulum is a Researcher at <strong>MIT</strong> and a Vice President in the global wealth and investment management<br />

group <strong>of</strong> Bank <strong>of</strong> America. He earned his Doctorate degree under the guidance <strong>of</strong> Dr. Genichi Taguchi. He<br />

has published several articles in leading technical journals and magazines. He co-authored a book on pattern<br />

information technology and a book on computer-based robust engineering. He is a senior member <strong>of</strong> the ASQ<br />

and the Japanese Quality <strong>Engineering</strong> Society and a Fellow <strong>of</strong> the Royal Statistical Society and International<br />

Technology Institute.<br />

Copyright c○ 2006 John Wiley & Sons, Ltd. Qual. Reliab. Engng. Int. 2007; 23:387–398<br />

DOI: 10.1002/qre

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