Engineering Applications of Artificial Intelligence,
Journal Year:
2024,
Volume and Issue:
133, P. 108578 - 108578
Published: May 11, 2024
Remanufacturing,
a
crucial
step
of
reverse
logistics,
focuses
on
restoring
or
enhancing
the
functionality
waste
products.
The
challenge
in
planning
an
effective
remanufacturing
logistics
system
lies
uncertainties
from
various
sources.
In
addition,
evolving
industrial
landscape
Industry
5.0
necessitates
adaptability
to
technological
advancements.
This
paper
proposes
integrated
and
digitalized
architecture
for
uncertain
network
design.
A
fuzzy
optimization
model
is
first
formulated
identify
potential
configurations
under
varying
demand-satisfying
capacity
constraints.
These
solutions
are
automatically
converted
assessed
dynamic
simulation
environment
with
practical
operational
logic
set
real-world
scenarios.
Numerical
experiments
performed
validate
method
show
advantages
integrating
digital
platform
strategic
planning.
results,
built
upon
previous
research,
indicate
that
while
initial
investments
technology
might
be
substantial,
they
may
lead
long-term
reductions
both
costs
emissions.
Moreover,
collaborative
decision-making
essential
mitigate
disruptions
cascading
effects.
Our
research
contributes
development
novel
decision-support
underscores
role
digitalization
future
smart
sustainable
Business Strategy and the Environment,
Journal Year:
2021,
Volume and Issue:
31(3), P. 1058 - 1073
Published: Nov. 16, 2021
Abstract
Digitalization
of
the
supply
chain
(SC)
has
received
plenty
attention
from
practitioners
and
researchers
in
recent
years
to
address
challenges
business
environment
assist
firms
achieving
a
circular
SC.
Implementing
circularity
operations
is
practice
sustainability
which
utmost
significance
for
sustainable
development
goals
established
by
United
Nations.
This
study
empirically
examines
relation
among
flexibility,
AI–IoT
adoption,
SC
firm
performance
under
economy
(CE)
based
on
resource
orchestration
theory
(ROT),
an
integrated
version
extended‐resource‐based
view,
dynamic
capability
(DCT).
Data
were
collected
Indian
manufacturing
through
questionnaire‐based
survey
examined
using
“structural
equation
modeling
(SEM).”
The
results
show
that
information
flexibility
organizational
have
highest
impact
adoption.
Organizational
shows
full
mediation
with
AI–IoT,
would
influence
directly.
analysis
also
indicates
CE
will
affect
between
These
findings
pave
way
cross‐country
analysis,
formation
practical
strategies,
policies
related
implementations.
Annals of Operations Research,
Journal Year:
2022,
Volume and Issue:
318(1), P. 531 - 556
Published: April 20, 2022
Abstract
Research
on
the
development
of
sustainable
supply
chain
models
is
highly
active
nowadays.
Merging
concept
management
with
goals,
leads
to
simultaneous
consideration
all
economic,
environmental
and
social
factors.
This
paper
addresses
design
a
closed-loop
including
suppliers,
manufacturers,
distribution
centers,
customer
zones,
disposal
centers
considering
consumption
energy.
In
addition,
play
roles
warehouse
collection
centers.
The
problem
involves
three
choices
remanufacturing,
recycling,
disposing
returned
items.
objectives
are
total
profit,
energy
number
created
job
opportunities.
As
far
as
we
know,
these
rarely
considered
in
model.
proposed
model
also
responds
demand
real-life
constraints
for
location,
allocation
inventory
decisions
framework.
Another
novelty
this
research
develop
set
efficient
Lagrangian
relaxation
reformulations
fast
heuristics
solving
real-world
numerical
example.
results
have
revealed
that
obtained
solution
feasible
developed
algorithm
models.
Finally,
comprehensive
discussion
provided
highlight
our
findings
managerial
insights
from
results.
Annals of Operations Research,
Journal Year:
2023,
Volume and Issue:
unknown
Published: July 11, 2023
Abstract
Data
science
and
big
data
analytics
(DS
&BDA)
methodologies
tools
are
used
extensively
in
supply
chains
logistics
(SC
&L).
However,
the
existing
insights
scattered
over
different
literature
sources
there
is
a
lack
of
structured
unbiased
review
methodology
to
systematise
DS
&BDA
application
areas
SC
&L
comprehensively
covering
efficiency,
resilience
sustainability
paradigms.
In
this
study,
we
first
propose
an
unique
systematic
for
field
&L.
Second,
use
proposed
on
techniques
fields
aiming
at
classifying
models/techniques
employed,
structuring
their
practical
areas,
identifying
research
gaps
potential
future
directions.
We
analyse
364
publications
which
variety
&BDA-driven
modelling
methods
processes
across
decision-making
levels.
Our
analysis
triangulated
resilience,
perspectives.
The
developed
novel
classifications
categorisations
can
be
by
researchers
practitioners
alike
applications
Journal of Cleaner Production,
Journal Year:
2023,
Volume and Issue:
394, P. 136357 - 136357
Published: Feb. 6, 2023
Ecological
sustainability
has
become
a
top
priority
for
governments
and
business
practitioners
because
of
the
massive
surge
in
electronic
waste
(e-waste).
This
ecological
context
compelled
firms
to
adopt
reverse
logistics
(RL)
invest
advanced
technologies
with
focus
on
sustainable
recovery
practices
reducing
excessive
carbon
emissions
(CEs).
study
proposes
multi-objective
mixed
integer
programming
(MOMIP)
model
configuring
RL
network
design;
it
incorporates
multiple
products,
facilities,
processing
technologies,
selection
vehicle
types.
The
novelty
this
lies
its
consideration
four
green
(inspection,
dismantling,
repair/refurbishing,
recycling
facilities),
efforts
maximize
return
yield
potential
form
product,
components,
material
recovery.
main
objective
is
minimize
overall
cost
environmental
impact
due
transportation.
Further,
weighted
goal
technique
used
determine
efficient
solutions
furnish
trade-off
among
conflicting
objectives.
mathematical
validated
utilizing
real
life
case
an
electronics
manufacturing
firm
India.
total
are
both
reduced,
different
selected
automatically
facilities.
results
demonstrate
that
increases
significantly
greener
technology
selections.
also
draws
significant
implications,
specifically
tax
regulatory
policies
aid
large
extent
along
increasing
product
yield.
Hence,
will
help
industrial
managers
their
strategic
tactical
decision
making.
Their
evaluations
options,
selection,
regard
economic
permit
makers
gain
valuable
managerial
insights.
International Journal of Production Economics,
Journal Year:
2024,
Volume and Issue:
271, P. 109199 - 109199
Published: March 2, 2024
Cap-and-trade
regulation
is
an
effective
and
flexible
measure
to
migrate
climate
changes
in
supply
chain
management.
As
a
result,
management
under
cap-and-trade
(SCM-CAT)
has
been
attracting
increasing
amount
of
attention
from
both
academics
industry.
This
paper
presents
comprehensive
systemic
literature
review
about
the
field
SCM-CAT
based
on
bibliometric
analysis
content
analysis.
After
executing
retrieval
strategy
settings
data
cleaning,
563
(out
2931)
publications
are
selected
downloaded
two
databases,
including
Web
Science's
core
collection
Scopus.
Bibliometric
conducted
analyze
current
status
evaluation
path
SCM-CAT,
yearly
output,
collaboration
network
regions
institutions,
journal
analysis,
co-citation
sources.
Content
focuses
thematic
area
four
clusters
According
results
six
research
gaps
identified
propose
potential
corresponding
opportunities
questions.
beneficial
for
scholars
practitioners
who
exploring
because
it
promotes
realizes
goals
sustainability,
economics,
environment,
society.
