Advances in logistics, operations, and management science book series,
Год журнала:
2024,
Номер
unknown, С. 225 - 239
Опубликована: Март 1, 2024
Efficiency
and
profitability
are
at
the
core
of
effective
supply
chain
financial
management.
In
contemporary
business
landscape,
intersection
acumen
operational
excellence
is
a
critical
driver
success.
This
exploration
delves
into
significance
maximizing
profits
efficiency
in
management,
guided
by
transformative
influence
artificial
intelligence
(AI)
machine
learning.
Supply
management
defined
its
role
allocating
resources
strategically,
optimizing
working
capital,
analyzing
costs,
mitigating
risks.
Advances in logistics, operations, and management science book series,
Год журнала:
2024,
Номер
unknown, С. 208 - 224
Опубликована: Март 1, 2024
This
chapter
explores
the
evolving
landscape
of
AI-enhanced
supply
chain
management,
emphasizing
pivotal
role
artificial
intelligence
(AI)
in
optimizing
operations.
It
commences
with
an
introduction
that
defines
management
and
underscores
importance
AI
this
context.
Subsequently,
delves
into
multifaceted
elucidating
its
diverse
benefits.
These
advantages
encompass
enhanced
efficiency,
streamlined
inventory
transportation
improved
revenue
generation
through
superior
customer
service
data-driven
demand
forecasting.
Advances in logistics, operations, and management science book series,
Год журнала:
2024,
Номер
unknown, С. 77 - 94
Опубликована: Март 1, 2024
Automation
and
the
integration
of
artificial
intelligence
(AI)
are
reshaping
modern
business
operations.
This
evolution
has
historical
roots,
with
a
growing
emphasis
on
efficiency
cost
reduction.
AI's
transformative
role
in
supply
chain
optimization
is
evident
through
key
technologies
applications,
which
empower
businesses
to
make
data-driven
decisions,
enhance
customer
experiences,
reduce
costs.
Real-world
examples
illustrate
how
companies
leverage
AI
streamline
operations
deliver
products
services
precision.
Advances in logistics, operations, and management science book series,
Год журнала:
2024,
Номер
unknown, С. 39 - 56
Опубликована: Янв. 29, 2024
In
modern
Nigerian
supply
chain
management,
the
adjudication
of
intellectual
property
rights
has
gained
paramount
importance.
With
rapid
advancement
technology,
integration
AI-powered
analytics
emerged
as
a
promising
resolution
for
settling
disputes
and
safeguarding
rights.
This
chapter
highlights
multifaceted
role
AI-driven
in
process,
exploring
its
impact
on
improving
efficiency,
precision,
impartiality
resolving
related
to
within
chain.
The
authors
suggest
that
comprehensive
ethical
standards,
data
privacy
regulations,
transparency
protocols
should
be
established
by
government,
stakeholders,
law
enforcement
agencies
mitigate
potential
biases,
ensure
integrity,
adherence
legal
norms
AI
technologies.
Advances in logistics, operations, and management science book series,
Год журнала:
2024,
Номер
unknown, С. 113 - 125
Опубликована: Март 1, 2024
Efficient
supply
chain
management
has
emerged
as
a
crucial
determinant
of
organizational
performance
in
the
contemporary
dynamic
corporate
environment.
The
incorporation
nascent
technology,
such
machine
learning
and
blockchain,
is
revolutionizing
how
enterprises
manage
their
operations.
By
examining
extensive
datasets,
algorithms
can
predict
future
demand,
optimize
inventory
levels,
improve
planning
routes.
discerning
regularities
deviations
within
these
facilitate
making
well-informed
choices
managing
potential
hazards.
Additionally,
utilization
facilitates
automation
monotonous
jobs,
hence
mitigating
occurrence
human
fallibility
augmenting
overall
efficacy
blockchain
renowned
for
its
decentralized
unalterable
ledger
system,
effectively
tackles
several
critical
issues
encountered
realm
management.
Advances in logistics, operations, and management science book series,
Год журнала:
2024,
Номер
unknown, С. 225 - 239
Опубликована: Март 1, 2024
Efficiency
and
profitability
are
at
the
core
of
effective
supply
chain
financial
management.
In
contemporary
business
landscape,
intersection
acumen
operational
excellence
is
a
critical
driver
success.
This
exploration
delves
into
significance
maximizing
profits
efficiency
in
management,
guided
by
transformative
influence
artificial
intelligence
(AI)
machine
learning.
Supply
management
defined
its
role
allocating
resources
strategically,
optimizing
working
capital,
analyzing
costs,
mitigating
risks.
