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Journal Articles

A GPU-Based Parallel Region Classification Method for Continuous Constraint Satisfaction Problems

Guanglu Zhang, Wangchuan Feng, Jonathan Cagan

J. Mech. Des.

Paper No: MD-23-1142

https://doi.org/10.1115/1.4063158

Published Online: August 10, 2023

View Article titled, A GPU-Based Parallel Region Classification Method for Continuous Constraint Satisfaction Problems

Topics: Design, Graphics processing units, Visualization, Optimization, Approximation, Design automation, Pareto optimization, Tradeoffs

Journal Articles

Trade-Off Characterization Between Social and Environmental Impacts Using Agent-Based Product Adoption Models and Life Cycle Assessment

Joseph C. Liechty, Christopher S. Mabey, Christopher A. Mattson, John L. Salmon, Jason M. Weaver

J. Mech. Des. March 2023, 145(3): 032001.

Paper No: MD-22-1254

https://doi.org/10.1115/1.4056006

Published Online: November 17, 2022

View Article titled, Trade-Off Characterization Between Social and Environmental Impacts Using Agent-Based Product Adoption Models and Life Cycle Assessment

Topics: Design, Life cycle assessment, Tradeoffs, Sensitivity analysis

Journal Articles

A Novel Approach to Configuration Redesign: Using Multiobjective Monotonicity Analysis to Alter the Pareto Set

Nökkvi S. Sigurdarson, Tobias Eifler, Martin Ebro, Panos Y. Papalambros

J. Mech. Des. June 2022, 144(6): 061704.

Paper No: MD-21-1288

https://doi.org/10.1115/1.4053524

Published Online: February 15, 2022

View Article titled, A Novel Approach to Configuration Redesign: Using Multiobjective Monotonicity Analysis to Alter the Pareto Set

Topics: Design, Tradeoffs, Optimization

Journal Articles

Multiobjective Monotonicity Analysis: Pareto Set Dependency and Trade-Offs Causality in Configuration Design

Nökkvi S. Sigurdarson, Tobias Eifler, Martin Ebro, Panos Y. Papalambros

J. Mech. Des. March 2022, 144(3): 031704.

Paper No: MD-20-1910

https://doi.org/10.1115/1.4052444

Published Online: October 21, 2021

View Article titled, Multiobjective Monotonicity Analysis: Pareto Set Dependency and Trade-Offs Causality in Configuration Design

Topics: Design, Optimization, Tradeoffs, Shapes

Journal Articles

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

Nandan Sudarsanam, Ramya Chandran, Daniel D. Frey

J. Mech. Des. March 2020, 142(3): 031108.

Paper No: MD-19-1410

https://doi.org/10.1115/1.4045603

Published Online: December 23, 2019

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

Topics: Algorithms, Design, Design theory, Experimental design, Machine learning, Modeling, Noise (Sound), Optimization, Probability, Resource allocation

Journal Articles

Optimization of Part Consolidation for Minimum Production Costs and Time Using Additive Manufacturing

Zhenguo Nie, Sangjin Jung, Levent Burak Kara, Kate S. Whitefoot

J. Mech. Des. July 2020, 142(7): 072001.

Paper No: MD-19-1214

https://doi.org/10.1115/1.4045106

Published Online: December 12, 2019

View Article titled, Optimization of Part Consolidation for Minimum Production Costs and Time Using Additive Manufacturing

Topics: Additive manufacturing, Design, Filters, Manufacturing, Optimization, Tradeoffs, Shades and shadows, Genetic algorithms, Metals

Includes: Supplementary data

Journal Articles

A Fast-Converging Ensemble Infilling Approach Balancing Global Exploration and Local Exploitation: The Go-Inspired Hybrid Infilling Strategy

Liye Lv, Maolin Shi, Xueguan Song, Wei Sun, Jie Zhang

J. Mech. Des. February 2020, 142(2): 021403.

Paper No: MD-18-1920

https://doi.org/10.1115/1.4044112

Published Online: October 16, 2019

View Article titled, A Fast-Converging Ensemble Infilling Approach Balancing Global Exploration and Local Exploitation: The Go-Inspired Hybrid Infilling Strategy

Topics: Errors, Modeling, Probability, Robustness, Decision making, Design, Uncertainty, Tradeoffs

Journal Articles

Robustness and Real Options for Vehicle Design and Investment Decisions Under Gas Price and Regulatory Uncertainties

Namwoo Kang, Alparslan Emrah Bayrak, Panos Y. Papalambros

J. Mech. Des. October 2018, 140(10): 101404.

Paper No: MD-17-1772

https://doi.org/10.1115/1.4040629

Published Online: July 31, 2018

View Article titled, Robustness and Real Options for Vehicle Design and Investment Decisions Under Gas Price and Regulatory Uncertainties

Topics: Corporate average fuel economy, Design, Gasoline, Optimization, Robustness, Uncertainty, Vehicles, Automotive design, Tradeoffs, Simulation

Journal Articles

A High-Dimensional Reliability Analysis Method for Simulation-Based Design Under Uncertainty

Mohammad Kazem Sadoughi, Meng Li, Chao Hu, Cameron A. MacKenzie, Soobum Lee, Amin Toghi Eshghi

J. Mech. Des. July 2018, 140(7): 071401.

Paper No: MD-17-1565

https://doi.org/10.1115/1.4039589

Published Online: April 25, 2018

View Article titled, A High-Dimensional Reliability Analysis Method for Simulation-Based Design Under Uncertainty

Topics: Dimensions, Event history analysis, Reliability, Simulation, Uncertainty, Tradeoffs, Design under uncertainty, Errors

Journal Articles

Quantifying the Shape of Pareto Fronts During Multi-Objective Trade Space Exploration

Mehmet Unal, Gordon P. Warn, Timothy W. Simpson

J. Mech. Des. February 2018, 140(2): 021402.

Paper No: MD-17-1138

https://doi.org/10.1115/1.4038005

Published Online: December 13, 2017

View Article titled, Quantifying the Shape of Pareto Fronts During Multi-Objective Trade Space Exploration

Topics: Shapes, Tradeoffs, Design

Journal Articles

Ranking Ideas for Diversity and Quality

Faez Ahmed, Mark Fuge

J. Mech. Des. January 2018, 140(1): 011101.

Paper No: MD-16-1826

https://doi.org/10.1115/1.4038070

Published Online: November 9, 2017

View Article titled, Ranking Ideas for Diversity and Quality

Topics: Algorithms, Design, Optimization, Tradeoffs, Pareto optimization

Includes: Supplementary data

Journal Articles

Adaptive Energy Optimization Toward Net-Zero Energy Building Clusters

Philip Odonkor, Kemper Lewis, Jin Wen, Teresa Wu

J. Mech. Des. June 2016, 138(6): 061405.

Paper No: MD-15-1676

https://doi.org/10.1115/1.4033395

Published Online: May 2, 2016

View Article titled, Adaptive Energy Optimization Toward Net-Zero Energy Building Clusters

Topics: Batteries, Energy consumption, Optimization, Preferences, Stress, Structures, Temperature, Tradeoffs, Design, Ice

Journal Articles

Analyzing the Tradeoffs Between Economies of Scale, Time-Value of Money, and Flexibility in Design Under Uncertainty: Study of Centralized Versus Decentralized Waste-to-Energy Systems

Michel-Alexandre Cardin, Junfei Hu

J. Mech. Des. January 2016, 138(1): 011401.

Paper No: MD-15-1298

https://doi.org/10.1115/1.4031422

Published Online: November 4, 2015

View Article titled, Analyzing the Tradeoffs Between Economies of Scale, Time-Value of Money, and Flexibility in Design Under Uncertainty: Study of Centralized Versus Decentralized Waste-to-Energy Systems

Topics: Design, Uncertainty, Waste-to-energy, Tradeoffs

Journal Articles

A New Method for Making Design Decisions: Decision Topologies

Vijitashwa Pandey, Zissimos P. Mourelatos

J. Mech. Des. March 2015, 137(3): 031401.

Paper No: MD-13-1213

https://doi.org/10.1115/1.4029218

Published Online: March 1, 2015

View Article titled, A New Method for Making Design Decisions: Decision Topologies

Topics: Design, Topology, Tradeoffs, Decision making, Reliability, Algorithms

Journal Articles

Immersive Computing Technology to Investigate Tradeoffs Under Uncertainty in Disassembly Sequence Planning

Sara Behdad, Leif Berg, Judy Vance, Deborah Thurston

J. Mech. Des. July 2014, 136(7): 071001.

Paper No: MD-12-1041

https://doi.org/10.1115/1.4025021

Published Online: April 28, 2014

View Article titled, Immersive Computing Technology to Investigate Tradeoffs Under Uncertainty in Disassembly Sequence Planning

Topics: Collisions (Physics), Computer technology, Damage, Design, Dynamic programming, Manufacturing, Probability, Simulation, Tradeoffs, Uncertainty

Journal Articles

Understanding Consumer Tradeoffs Between Form and Function Through Metaconjoint and Cognitive Neuroscience Analyses

Brian Sylcott, Jonathan Cagan, Golnaz Tabibnia

J. Mech. Des. October 2013, 135(10): 101002.

Paper No: MD-12-1194

https://doi.org/10.1115/1.4024975

Published Online: August 7, 2013

View Article titled, Understanding Consumer Tradeoffs Between Form and Function Through Metaconjoint and Cognitive Neuroscience Analyses

Topics: Preferences, Tradeoffs, Design

Journal Articles

An Evolutionary Algorithm Based Approach to Design Optimization Using Evidence Theory

Rupesh Kumar Srivastava, Kalyanmoy Deb, Rupesh Tulshyan

J. Mech. Des. August 2013, 135(8): 081003.

Paper No: MD-11-1233

https://doi.org/10.1115/1.4024223

Published Online: June 10, 2013

View Article titled, An Evolutionary Algorithm Based Approach to Design Optimization Using Evidence Theory

Topics: Design, Optimization, Graphics processing units, Uncertainty, Failure, Tradeoffs

Journal Articles

Limitations of Pareto Front in Design Under Uncertainty and Their Reconciliation

Vijitashwa Pandey, Zissimos P. Mourelatos, Efstratios Nikolaidis

J. Mech. Des. July 2013, 135(7): 071010.

Paper No: MD-11-1286

https://doi.org/10.1115/1.4024224

Published Online: May 29, 2013

View Article titled, Limitations of Pareto Front in Design Under Uncertainty and Their Reconciliation

Topics: Certainty, Design, Preferences, Risk, Uncertainty, Optimization, Tradeoffs

Journal Articles

Optimization of Constraint Location, Orientation, and Quantity in Mechanical Assembly

Leonard Rusli, Anthony Luscher, James Schmiedeler

J. Mech. Des. July 2013, 135(7): 071007.

Paper No: MD-12-1529

https://doi.org/10.1115/1.4024314

Published Online: May 24, 2013

View Article titled, Optimization of Constraint Location, Orientation, and Quantity in Mechanical Assembly

Topics: Design, Manufacturing, Optimization, Tradeoffs, Fasteners, Redundancy (Engineering), Snap fitting

Journal Articles

Concurrent Optimization of Computationally Learned Stylistic Form and Functional Goals

Ian Tseng, Jonathan Cagan, Kenneth Kotovsky

J. Mech. Des. November 2012, 134(11): 111006.

https://doi.org/10.1115/1.4007304

Published Online: October 2, 2012

View Article titled, Concurrent Optimization of Computationally Learned Stylistic Form and Functional Goals

Topics: Artificial neural networks, Automotive design, Design, Tradeoffs, Vehicles, Computers, Optimization

Journal citation

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Supplemental Material

Manuscript

A GPU-Based Parallel Region Classification Method for Continuous Constraint Satisfaction Problems

Trade-Off Characterization Between Social and Environmental Impacts Using Agent-Based Product Adoption Models and Life Cycle Assessment

A Novel Approach to Configuration Redesign: Using Multiobjective Monotonicity Analysis to Alter the Pareto Set

Multiobjective Monotonicity Analysis: Pareto Set Dependency and Trade-Offs Causality in Configuration Design

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

Optimization of Part Consolidation for Minimum Production Costs and Time Using Additive Manufacturing

A Fast-Converging Ensemble Infilling Approach Balancing Global Exploration and Local Exploitation: The Go-Inspired Hybrid Infilling Strategy

Robustness and Real Options for Vehicle Design and Investment Decisions Under Gas Price and Regulatory Uncertainties

A High-Dimensional Reliability Analysis Method for Simulation-Based Design Under Uncertainty

Quantifying the Shape of Pareto Fronts During Multi-Objective Trade Space Exploration

Ranking Ideas for Diversity and Quality

Adaptive Energy Optimization Toward Net-Zero Energy Building Clusters

Analyzing the Tradeoffs Between Economies of Scale, Time-Value of Money, and Flexibility in Design Under Uncertainty: Study of Centralized Versus Decentralized Waste-to-Energy Systems

A New Method for Making Design Decisions: Decision Topologies

Immersive Computing Technology to Investigate Tradeoffs Under Uncertainty in Disassembly Sequence Planning

Understanding Consumer Tradeoffs Between Form and Function Through Metaconjoint and Cognitive Neuroscience Analyses

An Evolutionary Algorithm Based Approach to Design Optimization Using Evidence Theory

Limitations of Pareto Front in Design Under Uncertainty and Their Reconciliation

Optimization of Constraint Location, Orientation, and Quantity in Mechanical Assembly

Concurrent Optimization of Computationally Learned Stylistic Form and Functional Goals

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