A sustainable and resilient humanitarian relief chain network design for distributing assembled relief items dynamically considering perishability, under disruption
Atousa Shafiee Motlaq-Kashani,
No information about this author
Masoud Rabbani,
No information about this author
Amir Aghsami
No information about this author
et al.
Journal of Modelling in Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 24, 2025
Purpose
Due
to
mitigate
against
natural
disasters
like
earthquake
and
distribute
relief
items,
designing
humanitarian
chain
networks
is
an
attentional
issue.
Agile
efficient
distribution
of
items
after
occurring
a
disaster
significant,
especially
when
some
the
are
perishable.
Therefore,
purpose
this
paper
create
resilient
integrated
decision-making
structure
at
demand
points,
considering
two
dimensions
sustainability,
under
disruption.
Design/methodology/approach
This
study
developed
mixed-integer
nonlinear
mathematical
model
handle
pre-
post-disaster
planning
occurs.
The
represented
has
objective
functions:
minimizing
weighted
unmet
total
costs.
convert
multi-objective
problem
into
single
one,
e-constraint
method
was
applied.
Findings
main
results
showed
that
resilience
strategies
significant
effect
in
reducing
amount
saves
More
precisely,
60%
reduction
11%
pre-positioning
On
other
hand,
maximum
response
time
with
applying
another
achievement
present
study.
For
these
reasons,
use
can
reduce
people’s
pain
suffer
from
disasters.
In
general,
application
effectiveness
sustainability
introduced
network
were
analyzed.
Practical
implications
To
verify
applicability
study,
applied
on
probable
real-life
case
Tehran.
Finally,
managerial
insights
discussed
help
organizations,
managers
stakeholders
make
better
decisions
negative
effects
Originality/value
two-stage
stochastic
for
disruption,
stages.
Also,
economic
social
considered
Moreover,
assembling
perishable
im-perishable
as
kits,
dynamically
contribution
research.
Language: Английский
A novel stochastic machine learning approach for resilient-leagile supplier selection: a circular supply chain in the era of industry 4.0
Bahar Javan Molaei,
No information about this author
Mohssen Ghanavati-Nejad,
No information about this author
AmirReza Tajally
No information about this author
et al.
Soft Computing,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 28, 2025
Language: Английский
A hybrid Machine learning solution for redesigning sustainable circular energy supply chains
Computers & Industrial Engineering,
Journal Year:
2024,
Volume and Issue:
197, P. 110541 - 110541
Published: Sept. 7, 2024
Language: Английский
An integrated scenario-based multi-period multi-objective mathematical model for a sustainable biomass supply chain network considering social factors and disruption risk under uncertainty
Mansour Doodman,
No information about this author
Freidoon Soleimani,
No information about this author
Fariborz Jolai
No information about this author
et al.
Environment Development and Sustainability,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 17, 2024
Language: Английский