D. Frey

发表

Engineering design thinking, teaching, and learning

L.J. Leifer, A.M. Agogino, C.L. Dynn, 2005, IEEE Engineering Management Review.

A model-based approach to associate complexity and robustness in engineering systems

T. Howard, D. Frey, S. Göhler, 2017 .

An MRI Coil-Mounted Multi-Probe Robotic Positioner for Cryoablation

Faye Y. Wu, C. Walsh, G. Fischer, 2013 .

5.4.1 An Experimental Methodology to Evaluate Concept Generation Procedures Based on Quantitative Lifecycle Performance

Daniel D. Frey, Gwendolyn L. Kolfschoten, Michel-Alexandre Cardin, 2012 .

Efficiency of Prosthetic Cable and Housing

Daniel D. Frey, B. D. Veatch, D. Frey, 1995 .

Ensembles of Adaptive One-Factor-ata-time Experiments : Methods , Evaluation , and Theory by Nandan Sudarsanam

R. Welsch, R. Noyce, N. Sudarsanam, 2008 .

DETC 2003 / DTM-48646 HOW ONE-FACTOR-ATA-TIME EXPERIMENTATION CAN LEAD TO GREATER IMPROVEMENTS THAN ORTHOGONAL ARRAYS

D. Frey, 2003 .

Efficiently estimating mean shift due to variability

D. Frey, 2011, 2011 IEEE International Conference on Quality and Reliability.

Calculating Expectation Shift

D. Frey, 2011 .

EVALUATING ROBUST DESIGN METHODS USING A MODEL OF INTERACTIONS IN COMPLEX SYSTEMS

D. Frey, 2004 .

Part count and design of robust systems

John Sullivan, Daniel Frey, Joseph Palladino, 2007, Syst. Eng..

Quantifying the maximum possible improvement in $$2^{k}$$ experiments

N. Sudarsanam, D. Frey, Anusha Kumar, 2022, Research in Engineering Design.

Regularities in data from factorial experiments

Xiang Li, Daniel D. Frey, Nandan Sudarsanam, 2006, Complex..

The Deciding Factor: Design engineers make decisions for a living. Research looks for ways to make the process go smoother

Kemper Lewis, Daniel Frey, K. Lewis, 2005 .

Quantifying the maximum possible improvement in 2k experiments Nandan Sudarsanam1 · Anusha Kumar2 · Daniel D. Frey3

N. Sudarsanam, D. Frey, Anusha Kumar, 2022 .

Optimal replicates for designed experiments under the online framework

N. Sudarsanam, D. Frey, Balaji Pitchai Kannu, 2019, Research in Engineering Design.

Detecting mistakes in engineering models: the effects of experimental design

D. Frey, T. Savoie, 2011, Research in Engineering Design.

A model-based approach to associate complexity and robustness in engineering systems

T. Howard, D. Frey, S. Göhler, 2016, Research in Engineering Design.

A role for "one-factor-at-a-time" experimentation in parameter design

Daniel D. Frey, Edward M. Greitzer, Fredrik Engelhardt, 2003 .

Remaining useful life estimation for systems subject to multiple degradation mechanisms

Daniel D. Frey, Nagarajan Raghavan, N. Raghavan, 2015, 2015 IEEE Conference on Prognostics and Health Management (PHM).

Empirical evaluation of procedures to generate flexibility in engineering systems and improve lifecycle performance

Daniel D. Frey, Gwendolyn L. Kolfschoten, Michel-Alexandre Cardin, 2013 .

Quadrature as applied to computer models for robust design: theoretical and empirical assessment

P. Heijnen, D. Frey, Yiben Lin, 2021, Design Science.

Adaptive One-Factor-at-a-Time Experimentation and Expected Value of Improvement

Daniel D. Frey, Hungjen Wang, D. Frey, 2006, Technometrics.

Detecting mistakes in engineering models: the effects of experimental design

Daniel D. Frey, Troy Brendon Savoie, D. Frey, 2012 .

One more tool for the food aid toolbox? Experimental evidence on food aid packaging

Daniel D. Frey, Mark Brennan, Prithvi Sundar, 2019, Food Policy.

The influence of immersion and presence in early stage engineering designing and building

Daniela Faas, Qifang Bao, Maria C. Yang, 2014, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

THE EFFECTS OF COUPLING ON PARAMETER DESIGN

Franklin W. Olin, F. Olin, D. Frey, 2002 .

Designing "Design Squad": Developing and Assessing a Children's Television Program about Engineering.

Daniel Frey, Benjamin George Powers, D. Frey, 2012 .

The Pugh Controlled Convergence method: model-based evaluation and implications for design theory

Daniel D. Frey, Konstantinos V. Katsikopoulos, Don P. Clausing, 2009 .

An Adaptive One-Factor-at-a-Time Method for Robust Parameter Design: Comparison With Crossed Arrays via Case Studies

Daniel D. Frey, Nandan Sudarsanam, N. Sudarsanam, 2008 .

Impact of ionic drift and vacancy defect passivation on TDDB statistics and lifetime enhancement of metal gate high-κ stacks

Pey Kin Leong, N. Raghavan, M. Bosman, 2014, 2014 IEEE International Reliability Physics Symposium.

The Mechanisms by Which Adaptive One-factor-at-a-time Experimentation Leads to

Daniel D. Frey, Rajesh Jugulum, Rajesh Jugulum, 2006 .

Advancing Design Research: A “Big-D” Design Perspective

Daniel D. Frey, Christopher L. Magee, Kristin L. Wood, 2013 .

Beyond R&D: what design adds to a modern research university

Daniel D. Frey, Christopher L. Magee, Jianxi Luo, 2012 .

Using ensemble techniques to advance adaptive one‐factor‐at‐a‐time experimentation

Daniel D. Frey, Nandan Sudarsanam, N. Sudarsanam, 2011, Qual. Reliab. Eng. Int..

Validation of design methods: lessons from medicine

Daniel D. Frey, Clive L. Dym, C. Dym, 2006 .

Toward a taxonomy of concept designs for improved robustness

Daniel D. Frey, Rajesh Jugulum, Rajesh Jugulum, 2007 .

Using Hierarchical Probability Models to Evaluate Robust Parameter Design Methods

Xiang Li, Daniel D. Frey, D. Frey, 2008 .

System Regularities in Design of Experiments and Their Application

Xiang Li, Daniel D. Frey, D. Frey, 2006 .

Quickly Building Students’ Confidence in their Fabrication Abilities

Daniela Faas, Daniel D. Frey, Daniel Faas, 2013 .

8.1.2 A Study of Applying Game Theoretic Concepts on Distributed Engineering System Design

Daniel D. Frey, Hungjen Wang, D. Frey, 2006 .

Research in engineering design: the role of mathematical theory and empirical evidence

Daniel D. Frey, Eswaran Subrahmanian, Kenneth A. Oye, 2010 .

A hybrid magnetic field model for axisymmetric magnets

Shaohui Foong, Faye Y. Wu, Dan D. Frey, 2013, 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

Enhanced magnetic localization with artificial neural network field models

Shaohui Foong, Faye Y. Wu, Nathan M. Robert, 2013, 2013 IEEE International Conference on Robotics and Automation.

An Evaluation of the Pugh Controlled Convergence Method

Daniel D. Frey, Konstantinos V. Katsikopoulos, Don P. Clausing, 2007 .

Stochastic failure model for endurance degradation in vacancy modulated HfOx RRAM using the percolation cell framework

Daniel D. Frey, Nagarajan Raghavan, Michel Bosman, 2014, 2014 IEEE International Reliability Physics Symposium.

Variability model for forming process in oxygen vacancy modulated high-κ based resistive switching memory devices

Daniel D. Frey, Nagarajan Raghavan, Michel Bosman, 2014, Microelectron. Reliab..

A symphony of designiettes exploring the boundaries of design thinking in engineering education

Rajesh Elara Mohan, Daniel D. Frey, Kristin L. Wood, 2012 .

Evaluating an adaptive One-Factor-At-a-Time search procedure within the Mahalanobis-Taguchi System

Daniel D. Frey, Rajesh Jugulum, Chad R. Foster, 2009 .

Streamlining robust parameter design efforts

Daniel D. Frey, Rajesh Jugulum, Jagmeet Singh, 2007 .

Experimentation and its Role in Engineering Design: Linking a Student Design Exercise to New Results from Cognitive Psychology*

Daniel D. Frey, Christopher L. Magee, C. Magee, 2006 .

Validating Robust-Parameter-Design Methods

Daniel D. Frey, Xiang Li, D. Frey, 2004 .

Monte Carlo model of reset stochastics and failure rate estimation of read disturb mechanism in HfOx RRAM

Daniel D. Frey, Nagarajan Raghavan, Michel Bosman, 2015, 2015 IEEE International Reliability Physics Symposium.

Design of a Low-Cost Autoclave for Developing World Health Clinics

Daniel D. Frey, Amos G. Winter, Hallie Sue Cho, 2012 .

Optimal replicates for designed experiments under the online framework

Daniel D. Frey, Nandan Sudarsanam, Balaji Pitchai Kannu, 2019, Research in Engineering Design.

Particle filter approach to lifetime prediction for microelectronic devices and systems with multiple failure mechanisms

Daniel D. Frey, Nagarajan Raghavan, N. Raghavan, 2015, Microelectron. Reliab..

Designettes: An Approach to Multidisciplinary Engineering Design Education

Daniel D. Frey, U-Xuan Tan, Cassandra Telenko, 2016 .

The influence of immersion and presence in early stage engineering designing and building

Daniel Faas, D. Frey, Qifang Bao, 2014, Artificial intelligence for engineering design, analysis and manufacturing.

A multivariate statistical representation of railway track irregularities using ARMA models

J. N. Costa, J. Ambrósio, D. Frey, 2021, Vehicle System Dynamics.

Improving system reliability by failure‐mode avoidance including four concept design strategies

Daniel D. Frey, Don Clausing, D. Frey, 2005, Syst. Eng..

Compound Noise: Evaluation as a Robust Design Method

Daniel D. Frey, Rajesh Jugulum, Jagmeet Singh, 2007, Qual. Reliab. Eng. Int..

Noise Strategy in Robust Design: What Aspects of Noise Factors are Important in Quality Engineering?

Daniel D. Frey, Jasmeet Singh, N Soderborg, 2006 .

Conducting Non-adaptive Experiments in a Live Setting: A Bayesian Approach to Determining Optimal Sample Size

Daniel D. Frey, Nandan Sudarsanam, Ramya Chandran, 2019, Journal of Mechanical Design.