On the use of utility theory in engineering design
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. 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 …
framework for characterizing the marketing decisions made during the product development …
Choice modeling for usage context-based design
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 …
is considered as a critical part of driving factors behind customers' choices. Here, usage …
Integrated Bayesian hierarchical choice modeling to capture heterogeneous consumer preferences in engineering design
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 …
engineering design attributes and customer preferences. However, existing approaches do …
Eliciting user perceptions using assessment tests based on an interactive genetic algorithm
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 …
reduction of the innovation cycles require fast and valid assessments from customers. An …
Market-system design optimization with consider-then-choose models
Design optimization in market system research commonly relies on Discrete choice analysis
(DCA) to forecast sales and revenues for different product variants. Conventional DCA …
(DCA) to forecast sales and revenues for different product variants. Conventional DCA …
Sensitivity of vehicle market share predictions to discrete choice model specification
When design decisions are informed by consumer choice models, uncertainty in choice
model predictions creates uncertainty for the designer. We investigate the variation and …
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
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 …
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 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 prototy**
An important part of the engineering design process is prototy**, where designers build
and test their designs. This process is typically iterative, time consuming, and manual in …
and test their designs. This process is typically iterative, time consuming, and manual in …