Trends in research on the implementation of artificial intelligence in supply chain management
LatIA,
Journal Year:
2023,
Volume and Issue:
1, P. 6 - 6
Published: Oct. 13, 2023
Supply
chains
play
a
critical
role
in
the
functioning
of
global
economy.
The
integration
information
systems
and
emerging
technologies,
such
as
artificial
intelligence
Internet
Things,
improves
visibility,
decision
making
responsiveness
throughout
supply
chain.
objective
research
is
to
analyze
trends
on
implementation
chain
management.
paradigm
was
quantitative,
based
descriptive,
retrospective
bibliometric
study,
SCOPUS
database,
during
period
from
2019
2024,
without
language
restriction.
trend
positive
towards
increase
with
maximum
peak
year
2023
214
researches,
articles
area
computer
science
predominated.
top
producing
country
United
Kingdom
127
papers
four
lines
scientific
were
identified
around
In
business
environment,
ability
adapt
change
crucial;
their
management
includes
planning
coordination,
logistics
process
customer
relationship
intelligence,
has
had
great
impact
improvement
all
processes
involved
Language: Английский
The Influence of Product Quality and Price on the Purchase Decision of Car Spare Parts in Retail Stores
Yayan Firmansyah,
No information about this author
Irsandi Irsandi,
No information about this author
Trenggono Sakti
No information about this author
et al.
Journal of Business and Halal Industry,
Journal Year:
2025,
Volume and Issue:
2(3), P. 11 - 11
Published: Feb. 4, 2025
This
study
aims
to
examine
the
influence
of
product
quality
and
price
on
purchasing
decisions
at
Obama
Motor,
an
automotive
parts
retailer
in
Pringsewu.
The
research
problem
focuses
how
affect
consumer
decisions.
A
quantitative
approach
was
used
with
a
sample
44
respondents
selected
randomly.
Data
were
collected
through
surveys,
multiple
regression
analysis
applied.
results
showed
that
both
(β
=
0.344)
0.435)
significantly
conclusion
this
is
maintaining
high
competitive
pricing
essential
improve
customer
satisfaction
loyalty
market.
Language: Английский
A Multi-stage Machine Learning Model to Design a Sustainable-Resilient-Digitalized Pharmaceutical Supply Chain
Mostafa Jafarian,
No information about this author
Iraj Mahdavi,
No information about this author
Ali Tajdin
No information about this author
et al.
Socio-Economic Planning Sciences,
Journal Year:
2025,
Volume and Issue:
unknown, P. 102165 - 102165
Published: Feb. 1, 2025
Language: Английский
Optimal capacitated multi-product robust cement supply chain Network design considering carbon emission policies
Clean Technologies and Environmental Policy,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 14, 2025
Language: Английский
Constructing sustainable food waste supply chain network by globalized robust weighted goal programming
Yuexia Wang,
No information about this author
Ying Liu
No information about this author
Sustainable Cities and Society,
Journal Year:
2025,
Volume and Issue:
unknown, P. 106308 - 106308
Published: March 1, 2025
Language: Английский
Circular–Sustainable–Reliable Waste Management System Design: A Possibilistic Multi-Objective Mixed-Integer Linear Programming Model
Systems,
Journal Year:
2024,
Volume and Issue:
12(10), P. 435 - 435
Published: Oct. 16, 2024
Waste
management
involves
the
systematic
collection,
transportation,
processing,
and
treatment
of
waste
materials
generated
by
human
activities.
It
entails
a
variety
strategies
technologies
to
diminish
environmental
impacts,
protect
public
health,
conserve
resources.
Consequently,
providing
an
effective
comprehensive
optimization
approach
plays
critical
role
in
minimizing
generation,
maximizing
recycling
reuse,
safely
disposing
waste.
This
work
develops
novel
Possibilistic
Multi-Objective
Mixed-Integer
Linear
Programming
(PMOMILP)
model
order
formulate
problem
design
circular–sustainable–reliable
network,
under
uncertainty.
The
possibility
recovery
are
considered
across
incineration
disposal
processes
address
main
circular-economy
principles.
objectives
sustainable
development
throughout
total
cost,
impact,
reliability
Management
System
(WMS).
Lp-metric
technique
is
then
implemented
into
tackle
multi-objectiveness.
Several
benchmarks
adapted
from
literature
validate
efficacy
proposed
methodology,
treated
CPLEX
solver/GAMS
software
less
than
174.70
s,
on
average.
Moreover,
set
sensitivity
analyses
performed
appraise
different
scenarios
explore
utilitarian
managerial
implications
decision
aids.
demonstrated
that
configured
WMS
network
highly
sensitive
specific
time
period
wherein
does
not
fail.
Language: Английский