On the use of utility theory in engineering design

AE Abbas, AH Cadenbach - IEEE Systems Journal, 2016 - ieeexplore.ieee.org
Multiattribute utility theory has a long history of application in engineering and systems
design. These applications rely almost exclusively on two types of utility functions: the …

Design for the marketing mix: The past, present, and future of market-driven engineering design

JA Donndelinger, SM Ferguson - Journal of …, 2020 - asmedigitalcollection.asme.org
The four Ps of the marketing mix (Product, Price, Place, and Promotion) serve as a
framework for characterizing the marketing decisions made during the product development …

Choice modeling for usage context-based design

L He, W Chen, C Hoyle, B Yannou - 2012 - asmedigitalcollection.asme.org
Usage context-based design (UCBD) is an emerging design paradigm where usage context
is considered as a critical part of driving factors behind customers' choices. Here, usage …

Eliciting user perceptions using assessment tests based on an interactive genetic algorithm

E Poirson, JF Petiot, L Boivin… - Journal of …, 2013 - asmedigitalcollection.asme.org
To avoid failures in the marketplace, the control of the risks in product innovation and the
reduction of the innovation cycles require fast and valid assessments from customers. An …

Integrated Bayesian hierarchical choice modeling to capture heterogeneous consumer preferences in engineering design

C Hoyle, W Chen, N Wang, FS Koppelman - 2010 - asmedigitalcollection.asme.org
Choice models play a critical role in enterprise-driven design by providing a link between
engineering design attributes and customer preferences. However, existing approaches do …

Market-system design optimization with consider-then-choose models

W Ross Morrow, M Long… - Journal of …, 2014 - asmedigitalcollection.asme.org
Design optimization in market system research commonly relies on Discrete choice analysis
(DCA) to forecast sales and revenues for different product variants. Conventional DCA …

Sensitivity of vehicle market share predictions to discrete choice model specification

C Grace Haaf, JJ Michalek… - Journal of …, 2014 - asmedigitalcollection.asme.org
When design decisions are informed by consumer choice models, uncertainty in choice
model predictions creates uncertainty for the designer. We investigate the variation and …

Testing design optimization for uncertainty reduction in generating off-road mobility map using a Bayesian approach

Z Hu, ZP Mourelatos, D Gorsich… - Journal of …, 2020 - asmedigitalcollection.asme.org
Abstract The Next Generation NATO Reference Mobility Model (NG-NRMM) plays a vital role
in vehicle mobility prediction and mission planning. The complicated vehicle–terrain …

A design preference elicitation query as an optimization process

Y Ren, PY Papalambros - 2011 - asmedigitalcollection.asme.org
We seek to elicit individual design preferences through human-computer interaction. During
an iteration of the interactive session, the computer queries the subject by presenting a set of …

An unsupervised machine learning approach to assessing designer performance during physical prototyping

ML Dering, CS Tucker… - … of Computing and …, 2018 - asmedigitalcollection.asme.org
An important part of the engineering design process is prototyping, where designers build
and test their designs. This process is typically iterative, time consuming, and manual in …