BIO Web of Conferences,
Journal Year:
2024,
Volume and Issue:
148, P. 04017 - 04017
Published: Jan. 1, 2024
Currently,
the
development
of
packaging
design
is
very
advanced
and
rapid.
One
efforts
that
are
widely
used
by
Small
Medium
Enterprises
(SMEs)
in
food
sector
to
improve
their
packaging.
Current
developments
also
starting
collaborate
elements
sustainability
feelings
consumers.
Therefore,
research
designed
using
a
psychological
approach
based
on
emotions
consumers,
namely
Kansei
engineering.
In
addition
kansei
engineering,
it
includes
design.
Based
results,
43
words
were
obtained
then
simplified
into
16
words.
The
selected
coloured
flat
pouch
without
use
plastic,
complete
with
product
information
attributes.
aim
this
evaluate
effectiveness
new
garnering
positive
consumer
responses
assess
its
potential
impact
increasing
buying
interest
product.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(17), P. 7444 - 7444
Published: Aug. 23, 2024
Product
Identity
(PI)
is
a
strategic
instrument
for
enterprises
to
forge
brand
strength
through
New
Development
(NPD).
Concurrently,
facing
increasingly
fierce
market
competition,
the
NPD
consumer
emotional
requirements
(CRs)
has
become
significant
objective
in
enterprise
research
and
development
(R&D).
The
design
of
new
product
forms
must
ensure
continuity
PI
concurrently
address
needs
users.
It
demands
high
level
experience
from
designers
investment
R&D.
To
solve
this
problem,
generative
quantitative
method
powered
by
AI,
based
on
Shape
Grammar
(SG)
Kansei
Engineering
(KE),
proposed.
specific
as
follows:
Firstly,
representative
products
Morphological
Analysis
(MA)
are
selected,
SG
applied
establish
initial
shapes
transformation
rules,
prompts
input
into
Midjourney.
This
process
generates
conceptual
sketches
iteratively
refines
them,
resulting
set
that
preserve
PI.
Secondly,
web
crawler
mines
online
reviews
extract
words.
Factor
(FA)
clusters
them
factors,
Grey
Analytic
Hierarchy
Process
(G-AHP)
calculates
their
grey
weights.
Thirdly,
after
analyzing
feature
extraction,
features
integrated
with
CRs
Quality
Function
Deployment
(QFD)
matrix.
Experts
evaluate
relationships
using
interval
numbers,
calculating
optimal
ranking
Characteristics
(PIECs).
Finally,
professional
refine
selected
3D
models
detailed
designs.
Using
Chinese
case
study,
we
have
designed
female
electric
moped
(E-moped)
fit
users’
needs.
Through
questionnaire
survey
scheme,
argue
proposed
innovative
efficient,
applicable,
effective
balancing
form
user
emotions.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 25, 2025
With
the
increasing
emphasis
on
humanistic
care
in
society,
consumers
are
no
longer
only
concerned
about
functional
needs
of
products
but
also
spiritual,
cultural,
and
emotional
that
bring
to
people.
This
study
proposes
a
wheelchair
form
design
method
based
Kansei
engineering
approach,
which
integrates
evaluation
grid
(EGM),
grey
wolf
optimization
(GWO)
algorithm,
back
propagation
neural
network
(BPNN)
technology.
The
aim
is
explore
connection
between
elements
user
emotions
help
industrial
designers
find
designs
with
preferences.
In
this
method,
firstly,
collected
samples
were
evaluated
using
EGM,
extracting
upper-level
vocabulary
driven
by
attractiveness,
middle-level
original
attractiveness
items,
lower-level
specific
nine
sets
mentioned
frequently
users.
Meanwhile,
morphological
analysis
used
construct
sample
library
product
elements.
Secondly,
semantic
difference
factor
methods
analyze
ratings
9
pairs
words,
weights
factors
calculated
identify
three
critical
demand
factors.
Thirdly,
results
orthogonal
experiment,
conceptual
plan
for
was
constructed
computer-aided
technology
Rhinoceros
3D
modelling
software.
Fourthly,
collect
users'
words
concept
schemes,
values
weighting.
Fifth,
BPNN
GWO
algorithm
will
establish
predictive
model
vital
images.
Finally,
performance
GWO-BPNN
models
be
compared
verify
their
superiority.
indicate
has
better
ability
performance.
proposed
research
institute
can
more
effectively
create
meet
needs,
providing
new
perspective
design.
International Journal of Lean Six Sigma,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 16, 2025
Purpose
The
purpose
of
this
paper
is
to
present
a
case
study
in
the
plywood
industry,
aiming
demonstrate
successful
integration
green
lean
six
sigma
(GLSS)
and
theory
inventive
problem
solving
(TRIZ).
Design/methodology/approach
As
result
manufacturing,
production
sigma,
GLSS
was
developed.
An
innovative
solution
method
such
as
TRIZ
needed
complement
performance
GLSS.
A
perfect
combination
looking
forward
providing
significant
contributions
producing
less
waste,
substantial
factor
commit
manufacturing
for
sustainability.
Findings
industrial
waste
recycling
rate
measured
before
after
implementation
GLSS-TRIZ,
that
92%−93%
more
than
95%,
respectively.
This
proves
GLSS-TRIZ
has
been
evidently
recognized
powerful
framework
achieve
sustainable
manufacturing.
Originality/value
Sustainability
hot
topic
global
space
several
years
now.
focus
on
environmentally
conscious
practices
becoming
increasingly
prominent
across
various
industries.
With
environmental
concerns
rise,
important
manufacturers
strive
efficient
processes.
past
few
decades
have
seen
emergence
methodologies
lean,
green,
but
addressing
entire
development
alone
not
feasible.
organized
systematic
problem-solving
with
analysis
forecasting
techniques
performed
realize
methodology.
Electronics,
Journal Year:
2025,
Volume and Issue:
14(8), P. 1641 - 1641
Published: April 18, 2025
With
the
rapid
expansion
of
Electric
Sport
Utility
Vehicle
(ESUV)
market,
capturing
consumer
aesthetic
preferences
and
emotional
needs
through
front-end
styling
has
become
a
key
issue
in
automotive
design.
However,
traditional
Kansei
Engineering
(KE)
approaches
suffer
from
limited
timeliness,
subjectivity,
low
predictive
accuracy
when
extracting
affective
vocabulary
modeling
nonlinear
relationship
between
product
form
imagery.
To
address
these
challenges,
this
study
proposes
an
improved
KE-based
ESUV
framework
that
integrates
data
mining,
machine
learning,
generative
AI.
First,
real
reviews
samples
are
collected
via
Python-based
web
scraping.
Next,
Biterm
Topic
Model
(BTM)
Analytic
Hierarchy
Process
(AHP)
used
to
extract
representative
vocabulary.
Subsequently,
Back
Propagation
Neural
Network
(BPNN)
Support
Vector
Regression
(SVR)
models
constructed
optimized
using
Seagull
Optimization
Algorithm
(SOA)
Particle
Swarm
(PSO).
Experimental
results
show
SOA-BPNN
achieves
superior
accuracy.
Finally,
Stable
Diffusion
is
applied
generate
design
schemes,
optimal
model
employed
evaluate
their
The
proposed
offers
systematic
data-driven
approach
for
predicting
responses
conceptual
stage,
effectively
addressing
limitations
conventional
experience-based
Thus,
both
methodological
innovation
practical
guidance
integrating
into
Cogent Engineering,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Aug. 7, 2024
This
paper
provides
a
detailed
guide
for
Product
Design
and
Development
(PDD)
of
everyday
essentials,
with
focus
on
improving
user
accessibility.
It
applies
Quality
Function
Deployment
(QFD)
principles
to
enhance
experiences
by
aligning
design
customer
requirements.
Different
types
their
perceptions
essential
items
are
considered,
QFD
used
as
systematic
approach
translate
these
needs
into
specific
product
characteristics,
ensuring
alignment
expectations.
The
presents
step-by-step
application
design,
highlighting
key
considerations
best
practices.
A
case
study
drying
ironing
device
demonstrates
how
this
encourages
innovation
user-centric
design.
focuses
metropolitan
areas
around
Bangkok,
Thailand,
customers
aged
18
50,
emphasizing
limited
spaces
addressing
related
the
rainy
season
or
washing
clothes
at
night.
Results
show
no
bad
smell
caused
bacteria.
findings
designers
developers
create
products
that
prioritize
preferences,
enhancing
overall
usability
satisfaction.
contributions
research
benefit
(manufacturers),
customers,
researchers.
implications
include
minimizing
time
spent
trial-and-error
in
stage,
optimizing
reducing
waste
from
prototyping
process.
However,
there
is
still
risk
distortion
loss
translating
customers'
needs,
importance
receiving
feedback
after
use.
Foods,
Journal Year:
2024,
Volume and Issue:
13(23), P. 3806 - 3806
Published: Nov. 26, 2024
Red
sour
soup
(RSS)
is
a
traditional
food
with
rich
cultural
connotations
and
nutritional
value,
unique
to
the
Kaili
region
of
Guizhou
Province,
China.
However,
existing
packaging
design
lacks
characteristics
visual
appeal,
which
greatly
limits
its
market
potential.
This
study
proposes
systematic
research
framework
for
RSS
by
integrating
NLP,
Kansei
engineering,
semiotics.
First,
we
mined
consumers’
dual
requirements
analyzing
online
reviews
from
e-commerce
tourism
platforms
using
NLP
LDA.
Second,
used
engineering
construct
mapping
model
between
elements.
Notably,
in
semantic
space,
innovatively
introduced
concept
network,
considering
relationships
words
first
time.
Finally,
proposed
four
dimensions
semiotics
into
stages
design,
guiding
application
batik
culture
design.
Based
on
this
framework,
created
set
designs
that
integrate
modern
concepts
Miao
The
new
showed
significant
attractiveness
testing,
100%
subjects
preferring
it,
fully
demonstrating
effectiveness
consumer
acceptance
our
approach.
provides
methods
ideas
industry,
has
positive
significance
modernized
marketing
foods.
