Routledge eBooks,
Journal Year:
2024,
Volume and Issue:
unknown, P. 331 - 354
Published: Sept. 3, 2024
Human
cognitive
skills
have
their
limitations.
Effective
decision-making,
however,
requires
a
comprehensive
assessment
of
the
factors
at
stake.
This
work
aims
to
examine
how
computational
tools
such
as
SimDec
can
support
decision-making
process
and
potentially
provide
more
clarity
though
visualizations
scenario
decomposition
individual
decision-makers
in
day-to-day
lives.
Six
real-life
personal
cases
were
tackled
with
different
mathematical
modelling
approaches
from
simple
single-equation
functions
multi-criteria
decision-making.
The
resulting
interaction
case
protagonists
analytics
turned
static-decision
framework
into
dynamic
which,
some
cases,
even
led
restructuring
entire
situation.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(6), P. 2646 - 2646
Published: March 17, 2025
In
recent
years,
the
research
area
around
environmental
decision-making
has
drawn
more
and
interest,
driven
by
a
really
big
global
push
to
achieve
net-zero
emissions.
Significant
investments
in
areas
such
as
electric
vehicles
renewable
energy,
coupled
with
increasingly
limited
access
natural
resources,
have
intensified
efforts
this
field.
New
emerging
is
aimed
at
shifting
consumer
behavior
make
sustainable
decisions.
Building
on
context,
purpose
of
paper
explore
academic
publications
related
behavioral
shifts
context
sustainability.
Using
an
advanced
bibliometric
tool
Biblioshiny,
authors
analyze
Institute
for
Scientific
Information
Web
Science
dataset
identify
main
affiliated
journals
map
thematic
evolution
interdisciplinary
field,
including
key
topics
countries
involved.
The
analysis
reveals
6.68%
annual
growth
rate.
Through
maps,
three
field
plots,
word
clouds,
review
top
10
most
cited
papers,
study
provides
comprehensive
overview
evolving
domain
decision-making.
IET Generation Transmission & Distribution,
Journal Year:
2025,
Volume and Issue:
19(1)
Published: Jan. 1, 2025
ABSTRACT
Smart
local
energy
systems
(SLESs)
are
central
to
enhancing
localization
and
decentralization
of
the
sector.
Although
these
widely
studied
in
literature,
Nordic
conditions
probabilistic
approaches
have
remained
out
spotlight.
This
study
analyzes
economically
optimized
configurations
for
a
SLES.
We
define
cost
levels
at
which
various
technologies
become
feasible
invest
in.
also
evaluate
life
cycle
emission
reductions
achievable
from
systems.
Our
case
utilizes
Monte
Carlo
optimization
with
integrated
economic
models.
The
results
2000
cost‐optimized
SLES
years
2020–2023
indicated
that
compared
baseline,
levelized
electricity
reduced
98%
cases,
while
specific
greenhouse
gas
emissions
97%
cases.
mean
positive
carbon
handprint
was
44%.
Maximum
costs
deploy
were
30
€/MWh
wind
power,
500
€/kW
solar
120
€/kWh
battery
storage.
Thermal
storage
commonly
utilized.
outcomes
highlight
importance
sector
integration
context
SLESs,
as
cases
achieved
large
especially
heat
carrier.
indicate
SLESs
could
be
viable
mitigation.
The Journal of Open Source Software,
Journal Year:
2024,
Volume and Issue:
9(98), P. 6713 - 6713
Published: June 10, 2024
Uncertainties
are
everywhere.Whether
you
developing
a
new
Artificial
Intelligence
(AI)
system,
running
complex
simulations
or
making
an
experiment
in
lab,
uncertainties
influence
the
system.Therefore,
approach
is
needed
to
understand
how
these
impact
system's
performance.SimDec
offers
novel
visual
way
intricate
role
that
play.A
clear
Python
Application
Programming
Interface
(API)
and
no-code
interactive
web
dashboard
make
uncertainty
analysis
with
SimDec
accessible
everyone.
Routledge eBooks,
Journal Year:
2024,
Volume and Issue:
unknown, P. 3 - 26
Published: Sept. 3, 2024
For
a
computational
model
to
be
useful
for
decision-making
purposes,
its
foundations
need
"shaken"
sufficiently
so
that
one
can
ascertain
what
might
happen
if
underlying
assumptions
ever
changed.
This
type
of
robustness
assessment
is
performed
via
the
techniques
sensitivity
analysis
and
uncertainty
analysis.
These
supply
many
alternative
pathways
under
which
such
evaluations
conducted.
In
this
chapter,
we
consider
full
spectrum
tools
–
from
setting
up
computer
experiments,
analyzing
their
results,
discussing
variety
methods
at
each
phase,
investigating
how
overall
process
actually
deployed
effectively
in
practice.
Our
conclusions
on
current
"state
practice"
are
worrying.
The
most
commonly
used
one-at-a-time
severely
mislead
decision-makers.
Further
that,
simple
Monte
Carlo
simulations
portraying
output
distributions
not
sufficient
understand
actual
drivers
behind
behaviour.
Advanced
global
analyses
often
focused
quantification
they
miss
any
insights
into
nature
effects.
Conversely,
novel
Simulation
Decomposition
(SimDec)
method
incorporates
best
components
both
enables
production
holistic
very
straightforward
fashion
thereby
reinforcing
considerable
potential
widespread
adoption
anywhere
performed.
Routledge eBooks,
Journal Year:
2024,
Volume and Issue:
unknown, P. 93 - 115
Published: Sept. 3, 2024
Revenue
risk
due
to
demand
fluctuations
is
one
of
the
major
issues
affecting
public
infrastructure
projects
(building
bridges,
airports,
schools,
etc.).
It
becomes
much
more
critical
when
private
partners
have
been
involved
in
construction,
financing,
and
operation
projects,
as
it
enters
into
realm
Public–Private
Partnerships
(PPP).
In
PPP
revenue
impacts
project
profitability
for
investor.
To
attract
financing
governments
must
frequently
include
supplementary
guarantees
mitigate
this
risk.
However,
impact
on
often
difficult
estimate,
since
depends
both
uncertainty
actual
exercise
guarantee.
All
these
challenges,
along
with
intrinsic
characteristic
being
partnerships
among
different
actors
lasting
a
long
period,
complicate
choice
which
form
guarantee
suitable
ensuring
success.
Such
also
strongly
affected
by
contextual
factors
characteristics.
chapter,
we
employ
hybrid
sensitivity–uncertainty
analysis
technique,
Simulation
Decomposition
(SimDec),
investigate
how
characteristics
affect
optimal
subsidy
mitigation.
aim,
focus
case
an
Italian
airport.
Through
real
case,
provide
useful
guidelines
that
can
be
used
government
selection
subsidies
projects.
Routledge eBooks,
Journal Year:
2024,
Volume and Issue:
unknown, P. 116 - 141
Published: Sept. 3, 2024
Applying
Additive
Manufacturing
(AM)
methodologies,
such
as
3D
printing
of
concrete,
might
provide
a
mechanism
to
revolutionize
the
construction
sector.
However,
ambiguous
nature
unit
economics
has
deterred
its
more
extensive
integration.
As
such,
this
study
first
presents
deterministic
model
for
estimating
direct
and
indirect
costs
in
AM
then
advances
stochastic
cost
by
integrating
uncertainty
ranges.
Using
(Monte
Carlo)
Simulation
Decomposition,
is
analyzed
regarding
probabilistic
scenarios,
sensitivity
input
factors,
effects.
The
results
confirm
existence
economies
scale
highlight
AM's
potential
across
diverse
range
scenarios.
Managers,
researchers,
investors,
policymakers
alike
can
use
interactively
navigate
complexities
industry
inform
decisions
drive
technology
development.
advances,
models
be
iteratively
refined
expanded,
eventually
improving
economics,
productivity,
profitability.
Future
research
leverage
explore
impact
construction,
infrastructure,
housing
projects.
Routledge eBooks,
Journal Year:
2024,
Volume and Issue:
unknown, P. 257 - 282
Published: Sept. 3, 2024
The
reliability
of
steel
structures
is
a
complex
nonlinear
phenomenon
that
depends
on
multiple
external
and
technological
factors.
Accumulated
fatigue
can
lead
to
sudden
collapse
construction,
resulting
in
lost
reputations,
sunk
investments,
even
loss
lives.
Thus,
accurate
models
capture
damage
accumulation
are
paramount
importance,
as
the
adequate
methods
explain
communicate
input–output
relationships
model.
In
this
study,
we
apply
Simulation
Decomposition
(SimDec)
assessment
model
developed
for
welded
joints.
SimDec
exposed
communicated
three-dimensional
heterogeneous
effect
three
input
variables
interact
pairwise
affect
output
fashion
conditioned
each
other.
Identifying
such
effects
critical
when
designing
reliable
structures.
