John A. Cafeo

发表

The Need for Nondeterministic Approaches in Automotive Design: A Business Perspective

Zissimos Mourelatos, John A. Cafeo, Joseph Donndelinger, 2004 .

The General-Motors Variation-Reduction Adviser

Deborah L. McGuinness, James L. Benedict, Kurt Godden, 2005, AI Mag..

Shutter hinge and alignment based on an active material

Alan L. Browne, John A. Cafeo, Nancy L. Johnson, 2008 .

Combining Field Data and Computer Simulations for Calibration and Prediction

Dave Higdon, John A. Cafeo, Robert D. Ryne, 2005, SIAM J. Sci. Comput..

The General Motors Variation-Reduction Adviser: Deployment Issues for an AI Application

Deborah L. McGuinness, James L. Benedict, Kurt Godden, 2004, AAAI.

An Exploratory Study of Simulated Decision-Making in Preliminary Vehicle Design

Robert L. Nagel, John A. Cafeo, Joseph Donndelinger, 2009 .

A design-of-experiments approach to quantifying test-to-test variability for a modal test

Douglas A. Feldmaier, Donald J. Nefske, Shung H. Sung, 1997 .

Concepts and terminology of validation for computational solid mechanics models

Ben H. Thacker, John A. Cafeo, J. Cafeo, 2004 .

Considerations to reduce modal analysis test variability

Douglas A. Feldmaier, John A. Cafeo, Spencer J. Doggett, 1998 .

Framework for Validation of Computer Models Applied to a Resistance Spot Weld Model

John A. Cafeo, James C. Cavendish, 2003 .

The General Motors Variation-Reduction Adviser: An Example of Grassroots Knowledge Management Development

John A. Cafeo, Alexander P. Morgan, Ronald M. Lesperance, 2002, PAKM.

The General Motors Variation-Reduction Adviser: Evolution of a CBR System

John A. Cafeo, Alexander P. Morgan, Ronald M. Lesperance, 2003, ICCBR.

The General Motors Variation-Reduction Adviser: A Deployed System for Experience Management

Deborah L. McGuinness, James L. Benedict, Kurt Godden, 2007, Künstliche Intell..

A Karhunen-Loeve framework for modeling structural randomness

Thomas L. Paez, Norman F. Hunter, John A. Cafeo, 2002 .

Predictive accuracy of resistance spot welding simulations

John A. Cafeo, Timothy Hasselman, James C. Cavendish, 2002 .

Probabilistic analysis of a static frame model

Ramesh Rebba, John A. Cafeo, 2008 .

A Bayesian Method for Predicting Future Customer Need Distributions

Shun Takai, John A. Cafeo, Tae Yang, 2011, Concurr. Eng. Res. Appl..

Capturing Lessons Learned for Variation Reduction in an Automotive Assembly Plant

John A. Cafeo, Alexander P. Morgan, Ronald M. Lesperance, 2001, FLAIRS Conference.

CBR for Dimensional Management in a Manufacturing Plant

John A. Cafeo, Alexander P. Morgan, Ronald M. Lesperance, 2001, ICCBR.

A Framework for Validation of Computer Models

James O. Berger, M. J. Bayarri, John A. Cafeo, 2007, Technometrics.

EDSV: Emerging Defect Surveillance for Vehicles

Jiejun Xu, Tsai-Ching Lu, John A. Cafeo, 2017, WebSci.

A Bayesian Framework for Predicting Cutomer Need Distributions

Shun Takai, Tae G. Yang, John A. Cafeo, 2010 .

The General Motors' variation-reduction adviser: an example of grassroots knowledge management development

John A. Cafeo, Alexander P. Morgan, Ronald M. Lesperance, 2002, Intell. Syst. Account. Finance Manag..

Product Research: The Art and Science Behind Successful Product Launches

N. R. Srinivasa Raghavan, John A. Cafeo, 2009 .

BUILD RELIABILITY INTO EVERY PROJECT

Jon C. Helton, Yakov Ben-Haim, Cliff Joslyn, 2004 .

John A. Cafeo, Dnyanesh Rajpathak, 2021 .